{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\sa_li\\.conda\\envs\\rmd\\lib\\site-packages\\zfit\\util\\execution.py:57: UserWarning: Not running on Linux. Determining available cpus for thread can failand be overestimated. Workaround (only if too many cpus are used):`zfit.run.set_n_cpu(your_cpu_number)`\n",
" warnings.warn(\"Not running on Linux. Determining available cpus for thread can fail\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
"For more information, please see:\n",
" * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
" * https://github.com/tensorflow/addons\n",
"If you depend on functionality not listed there, please file an issue.\n",
"\n"
]
}
],
"source": [
"import os\n",
"\n",
"# os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"-1\"\n",
"\n",
"import numpy as np\n",
"from pdg_const import pdg\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"import pickle as pkl\n",
"import sys\n",
"import time\n",
"from helperfunctions import display_time, prepare_plot\n",
"import cmath as c\n",
"import scipy.integrate as integrate\n",
"from scipy.optimize import fminbound\n",
"from array import array as arr\n",
"import collections\n",
"from itertools import compress\n",
"import tensorflow as tf\n",
"import zfit\n",
"from zfit import ztf\n",
"# from IPython.display import clear_output\n",
"import os\n",
"import tensorflow_probability as tfp\n",
"tfd = tfp.distributions"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# chunksize = 10000\n",
"# zfit.run.chunking.active = True\n",
"# zfit.run.chunking.max_n_points = chunksize"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Build model and graphs\n",
"## Create graphs"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def formfactor(q2, subscript, b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2): #returns real value\n",
" #check if subscript is viable\n",
"\n",
" if subscript != \"0\" and subscript != \"+\" and subscript != \"T\":\n",
" raise ValueError('Wrong subscript entered, choose either 0, + or T')\n",
"\n",
" #get constants\n",
"\n",
" mK = ztf.constant(pdg['Ks_M'])\n",
" mbstar0 = ztf.constant(pdg[\"mbstar0\"])\n",
" mbstar = ztf.constant(pdg[\"mbstar\"])\n",
"\n",
"\n",
" mmu = ztf.constant(pdg['muon_M'])\n",
" mb = ztf.constant(pdg['bquark_M'])\n",
" ms = ztf.constant(pdg['squark_M'])\n",
" mB = ztf.constant(pdg['Bplus_M'])\n",
"\n",
" #N comes from derivation in paper\n",
"\n",
" N = 3\n",
"\n",
" #some helperfunctions\n",
"\n",
" tpos = (mB - mK)**2\n",
" tzero = (mB + mK)*(ztf.sqrt(mB)-ztf.sqrt(mK))**2\n",
"\n",
" z_oben = ztf.sqrt(tpos - q2) - ztf.sqrt(tpos - tzero)\n",
" z_unten = ztf.sqrt(tpos - q2) + ztf.sqrt(tpos - tzero)\n",
" z = tf.divide(z_oben, z_unten)\n",
"\n",
" #calculate f0\n",
"\n",
" if subscript == \"0\":\n",
" prefactor = 1/(1 - q2/(mbstar0**2))\n",
" _sum = 0\n",
" b0 = [b0_0, b0_1, b0_2]\n",
"\n",
" for i in range(N):\n",
" _sum += b0[i]*(tf.pow(z,i))\n",
"\n",
" return ztf.to_complex(prefactor * _sum)\n",
"\n",
" #calculate f+ or fT\n",
"\n",
" else:\n",
" prefactor = 1/(1 - q2/(mbstar**2))\n",
" _sum = 0\n",
"\n",
" if subscript == \"T\":\n",
" bT = [bT_0, bT_1, bT_2]\n",
" for i in range(N):\n",
" _sum += bT[i] * (tf.pow(z, i) - ((-1)**(i-N)) * (i/N) * tf.pow(z, N))\n",
" else:\n",
" bplus = [bplus_0, bplus_1, bplus_2]\n",
" for i in range(N):\n",
" _sum += bplus[i] * (tf.pow(z, i) - ((-1)**(i-N)) * (i/N) * tf.pow(z, N))\n",
"\n",
" return ztf.to_complex(prefactor * _sum)\n",
"\n",
"def resonance(q, _mass, width, phase, scale):\n",
"\n",
" q2 = tf.pow(q, 2)\n",
"\n",
" mmu = ztf.constant(pdg['muon_M'])\n",
"\n",
" p = 0.5 * ztf.sqrt(q2 - 4*(mmu**2))\n",
"\n",
" p0 = 0.5 * ztf.sqrt(_mass**2 - 4*mmu**2)\n",
"\n",
" gamma_j = tf.divide(p, q) * _mass * width / p0\n",
"\n",
" #Calculate the resonance\n",
"\n",
" _top = tf.complex(_mass * width, ztf.constant(0.0))\n",
"\n",
" _bottom = tf.complex(_mass**2 - q2, -_mass*gamma_j)\n",
"\n",
" com = _top/_bottom\n",
"\n",
" #Rotate by the phase\n",
"\n",
" r = ztf.to_complex(scale*tf.abs(com))\n",
"\n",
" _phase = tf.angle(com)\n",
"\n",
" _phase += phase\n",
"\n",
" com = r * tf.exp(tf.complex(ztf.constant(0.0), _phase))\n",
"\n",
" return com\n",
"\n",
"\n",
"def axiv_nonres(q, b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2):\n",
"\n",
" GF = ztf.constant(pdg['GF'])\n",
" alpha_ew = ztf.constant(pdg['alpha_ew'])\n",
" Vtb = ztf.constant(pdg['Vtb'])\n",
" Vts = ztf.constant(pdg['Vts'])\n",
" C10eff = ztf.constant(pdg['C10eff'])\n",
"\n",
" mmu = ztf.constant(pdg['muon_M'])\n",
" mb = ztf.constant(pdg['bquark_M'])\n",
" ms = ztf.constant(pdg['squark_M'])\n",
" mK = ztf.constant(pdg['Ks_M'])\n",
" mB = ztf.constant(pdg['Bplus_M'])\n",
"\n",
" q2 = tf.pow(q, 2)\n",
"\n",
" #Some helperfunctions\n",
"\n",
" beta = 1. - 4. * mmu**2. / q2\n",
"\n",
" kabs = ztf.sqrt(mB**2. + tf.pow(q2, 2)/mB**2. + mK**4./mB**2. - 2. * (mB**2. * mK**2. + mK**2. * q2 + mB**2. * q2) / mB**2.)\n",
"\n",
" #prefactor in front of whole bracket\n",
"\n",
" prefactor1 = GF**2. *alpha_ew**2. * (tf.abs(Vtb*Vts))**2. * kabs * beta / (128. * np.pi**5.)\n",
"\n",
" #left term in bracket\n",
"\n",
" bracket_left = 2./3. * tf.pow(kabs,2) * tf.pow(beta,2) * tf.pow(tf.abs(ztf.to_complex(C10eff)*formfactor(q2, \"+\", b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2)),2)\n",
"\n",
" #middle term in bracket\n",
"\n",
" _top = 4. * mmu**2. * (mB**2. - mK**2.) * (mB**2. - mK**2.)\n",
"\n",
" _under = q2 * mB**2.\n",
"\n",
" bracket_middle = _top/_under *tf.pow(tf.abs(ztf.to_complex(C10eff) * formfactor(q2, \"0\", b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2)), 2)\n",
" \n",
" #Note sqrt(q2) comes from derivation as we use q2 and plot q\n",
"\n",
" return prefactor1 * (bracket_left + bracket_middle) * 2 * q\n",
"\n",
"def vec(q, funcs, b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2):\n",
" \n",
" q2 = tf.pow(q, 2)\n",
"\n",
" GF = ztf.constant(pdg['GF'])\n",
" alpha_ew = ztf.constant(pdg['alpha_ew'])\n",
" Vtb = ztf.constant(pdg['Vtb'])\n",
" Vts = ztf.constant(pdg['Vts'])\n",
" C7eff = ztf.constant(pdg['C7eff'])\n",
"\n",
" mmu = ztf.constant(pdg['muon_M'])\n",
" mb = ztf.constant(pdg['bquark_M'])\n",
" ms = ztf.constant(pdg['squark_M'])\n",
" mK = ztf.constant(pdg['Ks_M'])\n",
" mB = ztf.constant(pdg['Bplus_M'])\n",
"\n",
" #Some helperfunctions\n",
"\n",
" beta = 1. - 4. * mmu**2. / q2\n",
"\n",
" kabs = ztf.sqrt(mB**2. + tf.pow(q2, 2)/mB**2. + mK**4./mB**2. - 2 * (mB**2 * mK**2 + mK**2 * q2 + mB**2 * q2) / mB**2)\n",
" \n",
" #prefactor in front of whole bracket\n",
"\n",
" prefactor1 = GF**2. *alpha_ew**2. * (tf.abs(Vtb*Vts))**2 * kabs * beta / (128. * np.pi**5.)\n",
"\n",
" #right term in bracket\n",
"\n",
" prefactor2 = tf.pow(kabs,2) * (1. - 1./3. * beta)\n",
"\n",
" abs_bracket = tf.pow(tf.abs(c9eff(q, funcs) * formfactor(q2, \"+\", b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2) + ztf.to_complex(2.0 * C7eff * (mb + ms)/(mB + mK)) * formfactor(q2, \"T\", b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2)),2)\n",
"\n",
" bracket_right = prefactor2 * abs_bracket\n",
"\n",
" #Note sqrt(q2) comes from derivation as we use q2 and plot q\n",
"\n",
" return prefactor1 * bracket_right * 2 * q\n",
"\n",
"def c9eff(q, funcs):\n",
"\n",
" C9eff_nr = ztf.to_complex(ztf.constant(pdg['C9eff']))\n",
"\n",
" c9 = C9eff_nr + funcs\n",
"\n",
" return c9"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def G(y):\n",
" \n",
" def inner_rect_bracket(q):\n",
" return tf.log(ztf.to_complex((1+tf.sqrt(q))/(1-tf.sqrt(q)))-tf.complex(ztf.constant(0), -1*ztf.constant(np.pi))) \n",
" \n",
" def inner_right(q):\n",
" return ztf.to_complex(2 * tf.atan(1/tf.sqrt(tf.math.real(-q))))\n",
" \n",
" big_bracket = tf.where(tf.math.real(y) > ztf.constant(0.0), inner_rect_bracket(y), inner_right(y))\n",
" \n",
" return ztf.to_complex(tf.sqrt(tf.abs(y))) * big_bracket\n",
"\n",
"def h_S(m, q):\n",
" \n",
" return ztf.to_complex(2) - G(ztf.to_complex(1) - ztf.to_complex(4*tf.pow(m, 2)) / ztf.to_complex(tf.pow(q, 2)))\n",
"\n",
"def h_P(m, q):\n",
" \n",
" return ztf.to_complex(2/3) + (ztf.to_complex(1) - ztf.to_complex(4*tf.pow(m, 2)) / ztf.to_complex(tf.pow(q, 2))) * h_S(m,q)\n",
"\n",
"def two_p_ccbar(mD, m_D_bar, m_D_star, q):\n",
" \n",
" \n",
" #Load constants\n",
" nu_D_bar = ztf.to_complex(pdg[\"nu_D_bar\"])\n",
" nu_D = ztf.to_complex(pdg[\"nu_D\"])\n",
" nu_D_star = ztf.to_complex(pdg[\"nu_D_star\"])\n",
" \n",
" phase_D_bar = ztf.to_complex(pdg[\"phase_D_bar\"])\n",
" phase_D = ztf.to_complex(pdg[\"phase_D\"])\n",
" phase_D_star = ztf.to_complex(pdg[\"phase_D_star\"])\n",
" \n",
" #Calculation\n",
" left_part = nu_D_bar * tf.exp(tf.complex(ztf.constant(0.0), phase_D_bar)) * h_S(m_D_bar, q) \n",
" \n",
" right_part_D = nu_D * tf.exp(tf.complex(ztf.constant(0.0), phase_D)) * h_P(m_D, q) \n",
" \n",
" right_part_D_star = nu_D_star * tf.exp(tf.complex(ztf.constant(0.0), phase_D_star)) * h_P(m_D_star, q) \n",
"\n",
" return left_part + right_part_D + right_part_D_star"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Build pdf"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"class total_pdf_cut(zfit.pdf.ZPDF):\n",
" _N_OBS = 1 # dimension, can be omitted\n",
" _PARAMS = ['b0_0', 'b0_1', 'b0_2', \n",
" 'bplus_0', 'bplus_1', 'bplus_2', \n",
" 'bT_0', 'bT_1', 'bT_2', \n",
" 'rho_mass', 'rho_scale', 'rho_phase', 'rho_width',\n",
" 'jpsi_mass', 'jpsi_scale', 'jpsi_phase', 'jpsi_width',\n",
" 'psi2s_mass', 'psi2s_scale', 'psi2s_phase', 'psi2s_width',\n",
" 'p3770_mass', 'p3770_scale', 'p3770_phase', 'p3770_width',\n",
" 'p4040_mass', 'p4040_scale', 'p4040_phase', 'p4040_width',\n",
" 'p4160_mass', 'p4160_scale', 'p4160_phase', 'p4160_width',\n",
" 'p4415_mass', 'p4415_scale', 'p4415_phase', 'p4415_width',\n",
" 'omega_mass', 'omega_scale', 'omega_phase', 'omega_width',\n",
" 'phi_mass', 'phi_scale', 'phi_phase', 'phi_width',\n",
" 'Dbar_mass', 'Dbar_scale', 'Dbar_phase',\n",
" 'Dstar_mass', 'DDstar_scale', 'DDstar_phase', 'D_mass',\n",
" 'tau_mass', 'C_tt']\n",
"# the name of the parameters\n",
"\n",
" def _unnormalized_pdf(self, x):\n",
" \n",
" x = x.unstack_x()\n",
" \n",
" b0 = [self.params['b0_0'], self.params['b0_1'], self.params['b0_2']]\n",
" bplus = [self.params['bplus_0'], self.params['bplus_1'], self.params['bplus_2']]\n",
" bT = [self.params['bT_0'], self.params['bT_1'], self.params['bT_2']]\n",
" \n",
" def rho_res(q):\n",
" return resonance(q, _mass = self.params['rho_mass'], scale = self.params['rho_scale'],\n",
" phase = self.params['rho_phase'], width = self.params['rho_width'])\n",
" \n",
" def omega_res(q):\n",
" return resonance(q, _mass = self.params['omega_mass'], scale = self.params['omega_scale'],\n",
" phase = self.params['omega_phase'], width = self.params['omega_width'])\n",
" \n",
" def phi_res(q):\n",
" return resonance(q, _mass = self.params['phi_mass'], scale = self.params['phi_scale'],\n",
" phase = self.params['phi_phase'], width = self.params['phi_width'])\n",
"\n",
" def jpsi_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['jpsi_mass'], 2)) * resonance(q, _mass = self.params['jpsi_mass'], \n",
" scale = self.params['jpsi_scale'],\n",
" phase = self.params['jpsi_phase'], \n",
" width = self.params['jpsi_width'])\n",
" def psi2s_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['psi2s_mass'], 2)) * resonance(q, _mass = self.params['psi2s_mass'], \n",
" scale = self.params['psi2s_scale'],\n",
" phase = self.params['psi2s_phase'], \n",
" width = self.params['psi2s_width'])\n",
" def p3770_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['p3770_mass'], 2)) * resonance(q, _mass = self.params['p3770_mass'], \n",
" scale = self.params['p3770_scale'],\n",
" phase = self.params['p3770_phase'], \n",
" width = self.params['p3770_width'])\n",
" \n",
" def p4040_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['p4040_mass'], 2)) * resonance(q, _mass = self.params['p4040_mass'], \n",
" scale = self.params['p4040_scale'],\n",
" phase = self.params['p4040_phase'], \n",
" width = self.params['p4040_width'])\n",
" \n",
" def p4160_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['p4160_mass'], 2)) * resonance(q, _mass = self.params['p4160_mass'], \n",
" scale = self.params['p4160_scale'],\n",
" phase = self.params['p4160_phase'], \n",
" width = self.params['p4160_width'])\n",
" \n",
" def p4415_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['p4415_mass'], 2)) * resonance(q, _mass = self.params['p4415_mass'], \n",
" scale = self.params['p4415_scale'],\n",
" phase = self.params['p4415_phase'], \n",
" width = self.params['p4415_width'])\n",
" \n",
" def P2_D(q):\n",
" Dbar_contrib = ztf.to_complex(self.params['Dbar_scale'])*tf.exp(tf.complex(ztf.constant(0.0), self.params['Dbar_phase']))*ztf.to_complex(h_S(self.params['Dbar_mass'], q))\n",
" DDstar_contrib = ztf.to_complex(self.params['DDstar_scale'])*tf.exp(tf.complex(ztf.constant(0.0), self.params['DDstar_phase']))*(ztf.to_complex(h_P(self.params['Dstar_mass'], q)) + ztf.to_complex(h_P(self.params['D_mass'], q)))\n",
" return Dbar_contrib + DDstar_contrib\n",
" \n",
" def ttau_cusp(q):\n",
" return ztf.to_complex(self.params['C_tt'])*(ztf.to_complex((h_S(self.params['tau_mass'], q))) - ztf.to_complex(h_P(self.params['tau_mass'], q)))\n",
" \n",
"\n",
" funcs = rho_res(x) + omega_res(x) + phi_res(x) + jpsi_res(x) + psi2s_res(x) + p3770_res(x) + p4040_res(x)+ p4160_res(x) + p4415_res(x) + P2_D(x) + ttau_cusp(x)\n",
"\n",
" vec_f = vec(x, funcs, b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2)\n",
"\n",
" axiv_nr = axiv_nonres(x, b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2)\n",
"\n",
" tot = vec_f + axiv_nr\n",
" \n",
" #Cut out jpsi and psi2s\n",
" \n",
" tot = tf.where(tf.math.logical_or(x < ztf.constant(jpsi_mass-60.), x > ztf.constant(jpsi_mass+70.)), tot, 0.0*tot)\n",
" \n",
" tot = tf.where(tf.math.logical_or(x < ztf.constant(psi2s_mass-50.), x > ztf.constant(psi2s_mass+50.)), tot, 0.0*tot)\n",
" \n",
" return tot\n",
" \n",
"class total_pdf_full(zfit.pdf.ZPDF):\n",
" _N_OBS = 1 # dimension, can be omitted\n",
" _PARAMS = ['b0_0', 'b0_1', 'b0_2', \n",
" 'bplus_0', 'bplus_1', 'bplus_2', \n",
" 'bT_0', 'bT_1', 'bT_2', \n",
" 'rho_mass', 'rho_scale', 'rho_phase', 'rho_width',\n",
" 'jpsi_mass', 'jpsi_scale', 'jpsi_phase', 'jpsi_width',\n",
" 'psi2s_mass', 'psi2s_scale', 'psi2s_phase', 'psi2s_width',\n",
" 'p3770_mass', 'p3770_scale', 'p3770_phase', 'p3770_width',\n",
" 'p4040_mass', 'p4040_scale', 'p4040_phase', 'p4040_width',\n",
" 'p4160_mass', 'p4160_scale', 'p4160_phase', 'p4160_width',\n",
" 'p4415_mass', 'p4415_scale', 'p4415_phase', 'p4415_width',\n",
" 'omega_mass', 'omega_scale', 'omega_phase', 'omega_width',\n",
" 'phi_mass', 'phi_scale', 'phi_phase', 'phi_width',\n",
" 'Dbar_mass', 'Dbar_scale', 'Dbar_phase',\n",
" 'Dstar_mass', 'DDstar_scale', 'DDstar_phase', 'D_mass',\n",
" 'tau_mass', 'C_tt']\n",
"# the name of the parameters\n",
"\n",
" def _unnormalized_pdf(self, x):\n",
" \n",
" x = x.unstack_x()\n",
" \n",
" b0 = [self.params['b0_0'], self.params['b0_1'], self.params['b0_2']]\n",
" bplus = [self.params['bplus_0'], self.params['bplus_1'], self.params['bplus_2']]\n",
" bT = [self.params['bT_0'], self.params['bT_1'], self.params['bT_2']]\n",
" \n",
" def rho_res(q):\n",
" return resonance(q, _mass = self.params['rho_mass'], scale = self.params['rho_scale'],\n",
" phase = self.params['rho_phase'], width = self.params['rho_width'])\n",
" \n",
" def omega_res(q):\n",
" return resonance(q, _mass = self.params['omega_mass'], scale = self.params['omega_scale'],\n",
" phase = self.params['omega_phase'], width = self.params['omega_width'])\n",
" \n",
" def phi_res(q):\n",
" return resonance(q, _mass = self.params['phi_mass'], scale = self.params['phi_scale'],\n",
" phase = self.params['phi_phase'], width = self.params['phi_width'])\n",
"\n",
" def jpsi_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['jpsi_mass'], 2)) * resonance(q, _mass = self.params['jpsi_mass'], \n",
" scale = self.params['jpsi_scale'],\n",
" phase = self.params['jpsi_phase'], \n",
" width = self.params['jpsi_width'])\n",
" def psi2s_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['psi2s_mass'], 2)) * resonance(q, _mass = self.params['psi2s_mass'], \n",
" scale = self.params['psi2s_scale'],\n",
" phase = self.params['psi2s_phase'], \n",
" width = self.params['psi2s_width'])\n",
" def p3770_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['p3770_mass'], 2)) * resonance(q, _mass = self.params['p3770_mass'], \n",
" scale = self.params['p3770_scale'],\n",
" phase = self.params['p3770_phase'], \n",
" width = self.params['p3770_width'])\n",
" \n",
" def p4040_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['p4040_mass'], 2)) * resonance(q, _mass = self.params['p4040_mass'], \n",
" scale = self.params['p4040_scale'],\n",
" phase = self.params['p4040_phase'], \n",
" width = self.params['p4040_width'])\n",
" \n",
" def p4160_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['p4160_mass'], 2)) * resonance(q, _mass = self.params['p4160_mass'], \n",
" scale = self.params['p4160_scale'],\n",
" phase = self.params['p4160_phase'], \n",
" width = self.params['p4160_width'])\n",
" \n",
" def p4415_res(q):\n",
" return ztf.to_complex(tf.pow(q, 2) / tf.pow(self.params['p4415_mass'], 2)) * resonance(q, _mass = self.params['p4415_mass'], \n",
" scale = self.params['p4415_scale'],\n",
" phase = self.params['p4415_phase'], \n",
" width = self.params['p4415_width'])\n",
" \n",
" def P2_D(q):\n",
" Dbar_contrib = ztf.to_complex(self.params['Dbar_scale'])*tf.exp(tf.complex(ztf.constant(0.0), self.params['Dbar_phase']))*ztf.to_complex(h_S(self.params['Dbar_mass'], q))\n",
" DDstar_contrib = ztf.to_complex(self.params['DDstar_scale'])*tf.exp(tf.complex(ztf.constant(0.0), self.params['DDstar_phase']))*(ztf.to_complex(h_P(self.params['Dstar_mass'], q)) + ztf.to_complex(h_P(self.params['D_mass'], q)))\n",
" return Dbar_contrib + DDstar_contrib\n",
" \n",
" def ttau_cusp(q):\n",
" return ztf.to_complex(self.params['C_tt'])*(ztf.to_complex((h_S(self.params['tau_mass'], q))) - ztf.to_complex(h_P(self.params['tau_mass'], q)))\n",
" \n",
"\n",
" funcs = rho_res(x) + omega_res(x) + phi_res(x) + jpsi_res(x) + psi2s_res(x) + p3770_res(x) + p4040_res(x)+ p4160_res(x) + p4415_res(x) + P2_D(x) + ttau_cusp(x)\n",
"\n",
" vec_f = vec(x, funcs, b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2)\n",
"\n",
" axiv_nr = axiv_nonres(x, b0_0, b0_1, b0_2, bplus_0, bplus_1, bplus_2, bT_0, bT_1, bT_2)\n",
"\n",
" tot = vec_f + axiv_nr\n",
" \n",
" #Cut out jpsi and psi2s\n",
" \n",
"# tot = tf.where(tf.math.logical_or(x < ztf.constant(jpsi_mass-60.), x > ztf.constant(jpsi_mass+70.)), tot, 0.0*tot)\n",
" \n",
"# tot = tf.where(tf.math.logical_or(x < ztf.constant(psi2s_mass-50.), x > ztf.constant(psi2s_mass+50.)), tot, 0.0*tot)\n",
" \n",
" return tot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setup parameters"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"WARNING:tensorflow:From C:\\Users\\sa_li\\.conda\\envs\\rmd\\lib\\site-packages\\tensorflow\\python\\ops\\resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Colocations handled automatically by placer.\n"
]
}
],
"source": [
"# formfactors\n",
"\n",
"b0_0 = zfit.Parameter(\"b0_0\", ztf.constant(0.292), floating = False) #, lower_limit = -2.0, upper_limit= 2.0)\n",
"b0_1 = zfit.Parameter(\"b0_1\", ztf.constant(0.281), floating = False) #, lower_limit = -2.0, upper_limit= 2.0)\n",
"b0_2 = zfit.Parameter(\"b0_2\", ztf.constant(0.150), floating = False) #, lower_limit = -2.0, upper_limit= 2.0)\n",
"\n",
"bplus_0 = zfit.Parameter(\"bplus_0\", ztf.constant(0.466), floating = False)#, lower_limit = -2.0, upper_limit= 2.0)\n",
"bplus_1 = zfit.Parameter(\"bplus_1\", ztf.constant(-0.885), floating = False)#, lower_limit = -2.0, upper_limit= 2.0)\n",
"bplus_2 = zfit.Parameter(\"bplus_2\", ztf.constant(-0.213), floating = False)#, lower_limit = -2.0, upper_limit= 2.0)\n",
"\n",
"bT_0 = zfit.Parameter(\"bT_0\", ztf.constant(0.460), floating = False) #, lower_limit = -2.0, upper_limit= 2.0)\n",
"bT_1 = zfit.Parameter(\"bT_1\", ztf.constant(-1.089), floating = False) #, lower_limit = -2.0, upper_limit= 2.0)\n",
"bT_2 = zfit.Parameter(\"bT_2\", ztf.constant(-1.114), floating = False) #, lower_limit = -2.0, upper_limit= 2.0)\n",
"\n",
"\n",
"#rho\n",
"\n",
"rho_mass, rho_width, rho_phase, rho_scale = pdg[\"rho\"]\n",
"\n",
"rho_m = zfit.Parameter(\"rho_m\", ztf.constant(rho_mass), floating = False) #lower_limit = rho_mass - rho_width, upper_limit = rho_mass + rho_width)\n",
"rho_w = zfit.Parameter(\"rho_w\", ztf.constant(rho_width), floating = False)\n",
"rho_p = zfit.Parameter(\"rho_p\", ztf.constant(rho_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"rho_s = zfit.Parameter(\"rho_s\", ztf.constant(rho_scale), lower_limit=rho_scale-np.sqrt(rho_scale), upper_limit=rho_scale+np.sqrt(rho_scale))\n",
"\n",
"#omega\n",
"\n",
"omega_mass, omega_width, omega_phase, omega_scale = pdg[\"omega\"]\n",
"\n",
"omega_m = zfit.Parameter(\"omega_m\", ztf.constant(omega_mass), floating = False)\n",
"omega_w = zfit.Parameter(\"omega_w\", ztf.constant(omega_width), floating = False)\n",
"omega_p = zfit.Parameter(\"omega_p\", ztf.constant(omega_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"omega_s = zfit.Parameter(\"omega_s\", ztf.constant(omega_scale), lower_limit=omega_scale-np.sqrt(omega_scale), upper_limit=omega_scale+np.sqrt(omega_scale))\n",
"\n",
"\n",
"#phi\n",
"\n",
"phi_mass, phi_width, phi_phase, phi_scale = pdg[\"phi\"]\n",
"\n",
"phi_m = zfit.Parameter(\"phi_m\", ztf.constant(phi_mass), floating = False)\n",
"phi_w = zfit.Parameter(\"phi_w\", ztf.constant(phi_width), floating = False)\n",
"phi_p = zfit.Parameter(\"phi_p\", ztf.constant(phi_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"phi_s = zfit.Parameter(\"phi_s\", ztf.constant(phi_scale), lower_limit=phi_scale-np.sqrt(phi_scale), upper_limit=phi_scale+np.sqrt(phi_scale))\n",
"\n",
"#jpsi\n",
"\n",
"jpsi_mass, jpsi_width, jpsi_phase, jpsi_scale = pdg[\"jpsi\"]\n",
"\n",
"jpsi_m = zfit.Parameter(\"jpsi_m\", ztf.constant(jpsi_mass), floating = False)\n",
"jpsi_w = zfit.Parameter(\"jpsi_w\", ztf.constant(jpsi_width), floating = False)\n",
"jpsi_p = zfit.Parameter(\"jpsi_p\", ztf.constant(jpsi_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"jpsi_s = zfit.Parameter(\"jpsi_s\", ztf.constant(jpsi_scale), floating = False) #, lower_limit=jpsi_scale-np.sqrt(jpsi_scale), upper_limit=jpsi_scale+np.sqrt(jpsi_scale))\n",
"\n",
"#psi2s\n",
"\n",
"psi2s_mass, psi2s_width, psi2s_phase, psi2s_scale = pdg[\"psi2s\"]\n",
"\n",
"psi2s_m = zfit.Parameter(\"psi2s_m\", ztf.constant(psi2s_mass), floating = False)\n",
"psi2s_w = zfit.Parameter(\"psi2s_w\", ztf.constant(psi2s_width), floating = False)\n",
"psi2s_p = zfit.Parameter(\"psi2s_p\", ztf.constant(psi2s_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"psi2s_s = zfit.Parameter(\"psi2s_s\", ztf.constant(psi2s_scale), floating = False) #, lower_limit=psi2s_scale-np.sqrt(psi2s_scale), upper_limit=psi2s_scale+np.sqrt(psi2s_scale))\n",
"\n",
"#psi(3770)\n",
"\n",
"p3770_mass, p3770_width, p3770_phase, p3770_scale = pdg[\"p3770\"]\n",
"\n",
"p3770_m = zfit.Parameter(\"p3770_m\", ztf.constant(p3770_mass), floating = False)\n",
"p3770_w = zfit.Parameter(\"p3770_w\", ztf.constant(p3770_width), floating = False)\n",
"p3770_p = zfit.Parameter(\"p3770_p\", ztf.constant(p3770_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"p3770_s = zfit.Parameter(\"p3770_s\", ztf.constant(p3770_scale), lower_limit=p3770_scale-np.sqrt(p3770_scale), upper_limit=p3770_scale+np.sqrt(p3770_scale))\n",
"\n",
"#psi(4040)\n",
"\n",
"p4040_mass, p4040_width, p4040_phase, p4040_scale = pdg[\"p4040\"]\n",
"\n",
"p4040_m = zfit.Parameter(\"p4040_m\", ztf.constant(p4040_mass), floating = False)\n",
"p4040_w = zfit.Parameter(\"p4040_w\", ztf.constant(p4040_width), floating = False)\n",
"p4040_p = zfit.Parameter(\"p4040_p\", ztf.constant(p4040_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"p4040_s = zfit.Parameter(\"p4040_s\", ztf.constant(p4040_scale), lower_limit=p4040_scale-np.sqrt(p4040_scale), upper_limit=p4040_scale+np.sqrt(p4040_scale))\n",
"\n",
"#psi(4160)\n",
"\n",
"p4160_mass, p4160_width, p4160_phase, p4160_scale = pdg[\"p4160\"]\n",
"\n",
"p4160_m = zfit.Parameter(\"p4160_m\", ztf.constant(p4160_mass), floating = False)\n",
"p4160_w = zfit.Parameter(\"p4160_w\", ztf.constant(p4160_width), floating = False)\n",
"p4160_p = zfit.Parameter(\"p4160_p\", ztf.constant(p4160_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"p4160_s = zfit.Parameter(\"p4160_s\", ztf.constant(p4160_scale), lower_limit=p4160_scale-np.sqrt(p4160_scale), upper_limit=p4160_scale+np.sqrt(p4160_scale))\n",
"\n",
"#psi(4415)\n",
"\n",
"p4415_mass, p4415_width, p4415_phase, p4415_scale = pdg[\"p4415\"]\n",
"\n",
"p4415_m = zfit.Parameter(\"p4415_m\", ztf.constant(p4415_mass), floating = False)\n",
"p4415_w = zfit.Parameter(\"p4415_w\", ztf.constant(p4415_width), floating = False)\n",
"p4415_p = zfit.Parameter(\"p4415_p\", ztf.constant(p4415_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)\n",
"p4415_s = zfit.Parameter(\"p4415_s\", ztf.constant(p4415_scale), lower_limit=p4415_scale-np.sqrt(p4415_scale), upper_limit=p4415_scale+np.sqrt(p4415_scale))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Dynamic generation of 2 particle contribution"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"m_c = 1300\n",
"\n",
"Dbar_phase = 0.0\n",
"DDstar_phase = 0.0\n",
"Dstar_mass = pdg['Dst_M']\n",
"Dbar_mass = pdg['D0_M']\n",
"D_mass = pdg['D0_M']\n",
"\n",
"Dbar_s = zfit.Parameter(\"Dbar_s\", ztf.constant(0.0), lower_limit=-0.3, upper_limit=0.3)\n",
"Dbar_m = zfit.Parameter(\"Dbar_m\", ztf.constant(Dbar_mass), floating = False)\n",
"Dbar_p = zfit.Parameter(\"Dbar_p\", ztf.constant(Dbar_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)#, floating = False)\n",
"DDstar_s = zfit.Parameter(\"DDstar_s\", ztf.constant(0.0), lower_limit=-0.3, upper_limit=0.3)#, floating = False)\n",
"Dstar_m = zfit.Parameter(\"Dstar_m\", ztf.constant(Dstar_mass), floating = False)\n",
"D_m = zfit.Parameter(\"D_m\", ztf.constant(D_mass), floating = False)\n",
"DDstar_p = zfit.Parameter(\"DDstar_p\", ztf.constant(DDstar_phase), lower_limit=-2*np.pi, upper_limit=2*np.pi)#, floating = False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Tau parameters"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"tau_m = zfit.Parameter(\"tau_m\", ztf.constant(pdg['tau_M']), floating = False)\n",
"Ctt = zfit.Parameter(\"Ctt\", ztf.constant(0.0), lower_limit=-1.5, upper_limit=1.5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load data"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"x_min = 2*pdg['muon_M']\n",
"x_max = (pdg[\"Bplus_M\"]-pdg[\"Ks_M\"]-0.1)\n",
"\n",
"# # Full spectrum\n",
"\n",
"obs_toy = zfit.Space('q', limits = (x_min, x_max))\n",
"\n",
"# Jpsi and Psi2s cut out\n",
"\n",
"obs1 = zfit.Space('q', limits = (x_min, jpsi_mass - 60.))\n",
"obs2 = zfit.Space('q', limits = (jpsi_mass + 70., psi2s_mass - 50.))\n",
"obs3 = zfit.Space('q', limits = (psi2s_mass + 50., x_max))\n",
"\n",
"obs_fit = obs1 + obs2 + obs3\n",
"\n",
"# with open(r\"./data/slim_points/slim_points_toy_0_range({0}-{1}).pkl\".format(int(x_min), int(x_max)), \"rb\") as input_file:\n",
"# part_set = pkl.load(input_file)\n",
"\n",
"# x_part = part_set['x_part']\n",
"\n",
"# x_part = x_part.astype('float64')\n",
"\n",
"# data = zfit.data.Data.from_numpy(array=x_part, obs=obs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setup pdf"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"total_f = total_pdf_cut(obs=obs_toy, jpsi_mass = jpsi_m, jpsi_scale = jpsi_s, jpsi_phase = jpsi_p, jpsi_width = jpsi_w,\n",
" psi2s_mass = psi2s_m, psi2s_scale = psi2s_s, psi2s_phase = psi2s_p, psi2s_width = psi2s_w,\n",
" p3770_mass = p3770_m, p3770_scale = p3770_s, p3770_phase = p3770_p, p3770_width = p3770_w,\n",
" p4040_mass = p4040_m, p4040_scale = p4040_s, p4040_phase = p4040_p, p4040_width = p4040_w,\n",
" p4160_mass = p4160_m, p4160_scale = p4160_s, p4160_phase = p4160_p, p4160_width = p4160_w,\n",
" p4415_mass = p4415_m, p4415_scale = p4415_s, p4415_phase = p4415_p, p4415_width = p4415_w,\n",
" rho_mass = rho_m, rho_scale = rho_s, rho_phase = rho_p, rho_width = rho_w,\n",
" omega_mass = omega_m, omega_scale = omega_s, omega_phase = omega_p, omega_width = omega_w,\n",
" phi_mass = phi_m, phi_scale = phi_s, phi_phase = phi_p, phi_width = phi_w,\n",
" Dstar_mass = Dstar_m, DDstar_scale = DDstar_s, DDstar_phase = DDstar_p, D_mass = D_m,\n",
" Dbar_mass = Dbar_m, Dbar_scale = Dbar_s, Dbar_phase = Dbar_p,\n",
" tau_mass = tau_m, C_tt = Ctt, b0_0 = b0_0, b0_1 = b0_1, b0_2 = b0_2,\n",
" bplus_0 = bplus_0, bplus_1 = bplus_1, bplus_2 = bplus_2,\n",
" bT_0 = bT_0, bT_1 = bT_1, bT_2 = bT_2)\n",
"\n",
"total_f_fit = total_pdf_full(obs=obs_fit, jpsi_mass = jpsi_m, jpsi_scale = jpsi_s, jpsi_phase = jpsi_p, jpsi_width = jpsi_w,\n",
" psi2s_mass = psi2s_m, psi2s_scale = psi2s_s, psi2s_phase = psi2s_p, psi2s_width = psi2s_w,\n",
" p3770_mass = p3770_m, p3770_scale = p3770_s, p3770_phase = p3770_p, p3770_width = p3770_w,\n",
" p4040_mass = p4040_m, p4040_scale = p4040_s, p4040_phase = p4040_p, p4040_width = p4040_w,\n",
" p4160_mass = p4160_m, p4160_scale = p4160_s, p4160_phase = p4160_p, p4160_width = p4160_w,\n",
" p4415_mass = p4415_m, p4415_scale = p4415_s, p4415_phase = p4415_p, p4415_width = p4415_w,\n",
" rho_mass = rho_m, rho_scale = rho_s, rho_phase = rho_p, rho_width = rho_w,\n",
" omega_mass = omega_m, omega_scale = omega_s, omega_phase = omega_p, omega_width = omega_w,\n",
" phi_mass = phi_m, phi_scale = phi_s, phi_phase = phi_p, phi_width = phi_w,\n",
" Dstar_mass = Dstar_m, DDstar_scale = DDstar_s, DDstar_phase = DDstar_p, D_mass = D_m,\n",
" Dbar_mass = Dbar_m, Dbar_scale = Dbar_s, Dbar_phase = Dbar_p,\n",
" tau_mass = tau_m, C_tt = Ctt, b0_0 = b0_0, b0_1 = b0_1, b0_2 = b0_2,\n",
" bplus_0 = bplus_0, bplus_1 = bplus_1, bplus_2 = bplus_2,\n",
" bT_0 = bT_0, bT_1 = bT_1, bT_2 = bT_2)\n",
" \n",
"# print(total_pdf.obs)\n",
"\n",
"# print(calcs_test)\n",
"\n",
"# for param in total_f.get_dependents():\n",
"# print(zfit.run(param))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<tf.Tensor 'normalization/hook_integrate/hook_numeric_integrate/mul_1:0' shape=() dtype=float64>"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"total_f_fit.normalization(obs_toy)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test if graphs actually work and compute values"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# def total_test_tf(xq):\n",
"\n",
"# def jpsi_res(q):\n",
"# return resonance(q, jpsi_m, jpsi_s, jpsi_p, jpsi_w)\n",
"\n",
"# def psi2s_res(q):\n",
"# return resonance(q, psi2s_m, psi2s_s, psi2s_p, psi2s_w)\n",
"\n",
"# def cusp(q):\n",
"# return bifur_gauss(q, cusp_m, sig_L, sig_R, cusp_s)\n",
"\n",
"# funcs = jpsi_res(xq) + psi2s_res(xq) + cusp(xq)\n",
"\n",
"# vec_f = vec(xq, funcs)\n",
"\n",
"# axiv_nr = axiv_nonres(xq)\n",
"\n",
"# tot = vec_f + axiv_nr\n",
" \n",
"# return tot\n",
"\n",
"# def jpsi_res(q):\n",
"# return resonance(q, jpsi_m, jpsi_s, jpsi_p, jpsi_w)\n",
"\n",
"# calcs = zfit.run(total_test_tf(x_part))\n",
"\n",
"test_q = np.linspace(x_min, x_max, int(2e6))\n",
"\n",
"probs = total_f_fit.pdf(test_q, norm_range=False)\n",
"\n",
"calcs_test = zfit.run(probs)\n",
"# res_y = zfit.run(jpsi_res(test_q))\n",
"# b0 = [b0_0, b0_1, b0_2]\n",
"# bplus = [bplus_0, bplus_1, bplus_2]\n",
"# bT = [bT_0, bT_1, bT_2]\n",
"# f0_y = zfit.run(tf.math.real(formfactor(test_q,\"0\", b0, bplus, bT)))\n",
"# fplus_y = zfit.run(tf.math.real(formfactor(test_q,\"+\", b0, bplus, bT)))\n",
"# fT_y = zfit.run(tf.math.real(formfactor(test_q,\"T\", b0, bplus, bT)))"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\sa_li\\.conda\\envs\\rmd\\lib\\site-packages\\ipykernel_launcher.py:12: UserWarning: Creating legend with loc=\"best\" can be slow with large amounts of data.\n",
" if sys.path[0] == '':\n",
"C:\\Users\\sa_li\\.conda\\envs\\rmd\\lib\\site-packages\\IPython\\core\\pylabtools.py:128: UserWarning: Creating legend with loc=\"best\" can be slow with large amounts of data.\n",
" fig.canvas.print_figure(bytes_io, **kw)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.clf()\n",
"# plt.plot(x_part, calcs, '.')\n",
"plt.plot(test_q, calcs_test, label = 'pdf')\n",
"# plt.plot(test_q, f0_y, label = '0')\n",
"# plt.plot(test_q, fT_y, label = 'T')\n",
"# plt.plot(test_q, fplus_y, label = '+')\n",
"# plt.plot(test_q, res_y, label = 'res')\n",
"plt.legend()\n",
"plt.ylim(0.0, 1.5e-6)\n",
"# plt.yscale('log')\n",
"# plt.xlim(770, 785)\n",
"plt.savefig('test.png')\n",
"# print(jpsi_width)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"\n",
"\n",
"# probs = mixture.prob(test_q)\n",
"# probs_np = zfit.run(probs)\n",
"# probs_np *= np.max(calcs_test) / np.max(probs_np)\n",
"# plt.figure()\n",
"# plt.semilogy(test_q, probs_np,label=\"importance sampling\")\n",
"# plt.semilogy(test_q, calcs_test, label = 'pdf')\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"# 0.213/(0.00133+0.213+0.015)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Adjust scaling of different parts"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"total_f.update_integration_options(draws_per_dim=2000000, mc_sampler=None)\n",
"# inte = total_f.integrate(limits = (950., 1050.), norm_range=False)\n",
"# inte_fl = zfit.run(inte)\n",
"# print(inte_fl/4500)\n",
"# print(pdg[\"jpsi_BR\"]/pdg[\"NR_BR\"], inte_fl*pdg[\"psi2s_auc\"]/pdg[\"NR_auc\"])"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"# # print(\"jpsi:\", inte_fl)\n",
"# # print(\"Increase am by factor:\", np.sqrt(pdg[\"jpsi_BR\"]/pdg[\"NR_BR\"]*pdg[\"NR_auc\"]/inte_fl))\n",
"# # print(\"New amp:\", pdg[\"jpsi\"][3]*np.sqrt(pdg[\"jpsi_BR\"]/pdg[\"NR_BR\"]*pdg[\"NR_auc\"]/inte_fl))\n",
"\n",
"# # print(\"psi2s:\", inte_fl)\n",
"# # print(\"Increase am by factor:\", np.sqrt(pdg[\"psi2s_BR\"]/pdg[\"NR_BR\"]*pdg[\"NR_auc\"]/inte_fl))\n",
"# # print(\"New amp:\", pdg[\"psi2s\"][3]*np.sqrt(pdg[\"psi2s_BR\"]/pdg[\"NR_BR\"]*pdg[\"NR_auc\"]/inte_fl))\n",
"\n",
"# name = \"phi\"\n",
"\n",
"# print(name+\":\", inte_fl)\n",
"# print(\"Increase am by factor:\", np.sqrt(pdg[name+\"_BR\"]/pdg[\"NR_BR\"]*pdg[\"NR_auc\"]/inte_fl))\n",
"# print(\"New amp:\", pdg[name][0]*np.sqrt(pdg[name+\"_BR\"]/pdg[\"NR_BR\"]*pdg[\"NR_auc\"]/inte_fl))\n",
"\n",
"\n",
"# print(x_min)\n",
"# print(x_max)\n",
"# # total_f.update_integration_options(draws_per_dim=2000000, mc_sampler=None)\n",
"# total_f.update_integration_options(mc_sampler=lambda dim, num_results,\n",
"# dtype: tf.random_uniform(maxval=1., shape=(num_results, dim), dtype=dtype),\n",
"# draws_per_dim=1000000)\n",
"# # _ = []\n",
"\n",
"# # for i in range(10):\n",
"\n",
"# # inte = total_f.integrate(limits = (x_min, x_max))\n",
"# # inte_fl = zfit.run(inte)\n",
"# # print(inte_fl)\n",
"# # _.append(inte_fl)\n",
"\n",
"# # print(\"mean:\", np.mean(_))\n",
"\n",
"# _ = time.time()\n",
"\n",
"# inte = total_f.integrate(limits = (x_min, x_max))\n",
"# inte_fl = zfit.run(inte)\n",
"# print(inte_fl)\n",
"# print(\"Time taken: {}\".format(display_time(int(time.time() - _))))\n",
"\n",
"# print(pdg['NR_BR']/pdg['NR_auc']*inte_fl)\n",
"# print(0.25**2*4.2/1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Sampling\n",
"## Mixture distribution for sampling"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"\n",
" \n",
"# print(list_of_borders[:9])\n",
"# print(list_of_borders[-9:])\n",
"\n",
"\n",
"class UniformSampleAndWeights(zfit.util.execution.SessionHolderMixin):\n",
" def __call__(self, limits, dtype, n_to_produce):\n",
" # n_to_produce = tf.cast(n_to_produce, dtype=tf.int32)\n",
" low, high = limits.limit1d\n",
" low = tf.cast(low, dtype=dtype)\n",
" high = tf.cast(high, dtype=dtype)\n",
"# uniform = tfd.Uniform(low=low, high=high)\n",
"# uniformjpsi = tfd.Uniform(low=tf.constant(3080, dtype=dtype), high=tf.constant(3112, dtype=dtype))\n",
"# uniformpsi2s = tfd.Uniform(low=tf.constant(3670, dtype=dtype), high=tf.constant(3702, dtype=dtype))\n",
"\n",
"# list_of_borders = []\n",
"# _p = []\n",
"# splits = 10\n",
"\n",
"# _ = np.linspace(x_min, x_max, splits)\n",
"\n",
"# for i in range(splits):\n",
"# list_of_borders.append(tf.constant(_[i], dtype=dtype))\n",
"# _p.append(tf.constant(1/splits, dtype=dtype))\n",
" \n",
"# mixture = tfd.MixtureSameFamily(mixture_distribution=tfd.Categorical(probs=_p[:(splits-1)]),\n",
"# components_distribution=tfd.Uniform(low=list_of_borders[:(splits-1)], \n",
"# high=list_of_borders[-(splits-1):]))\n",
" mixture = tfd.MixtureSameFamily(mixture_distribution=tfd.Categorical(probs=[tf.constant(0.05, dtype=dtype),\n",
" tf.constant(0.93, dtype=dtype),\n",
" tf.constant(0.05, dtype=dtype),\n",
" tf.constant(0.065, dtype=dtype),\n",
" tf.constant(0.04, dtype=dtype),\n",
" tf.constant(0.05, dtype=dtype)]),\n",
" components_distribution=tfd.Uniform(low=[tf.constant(x_min, dtype=dtype), \n",
" tf.constant(3090, dtype=dtype),\n",
" tf.constant(3681, dtype=dtype), \n",
" tf.constant(3070, dtype=dtype),\n",
" tf.constant(1000, dtype=dtype),\n",
" tf.constant(3660, dtype=dtype)], \n",
" high=[tf.constant(x_max, dtype=dtype),\n",
" tf.constant(3102, dtype=dtype), \n",
" tf.constant(3691, dtype=dtype),\n",
" tf.constant(3110, dtype=dtype),\n",
" tf.constant(1040, dtype=dtype),\n",
" tf.constant(3710, dtype=dtype)]))\n",
"# dtype = tf.float64\n",
"# mixture = tfd.MixtureSameFamily(mixture_distribution=tfd.Categorical(probs=[tf.constant(0.04, dtype=dtype),\n",
"# tf.constant(0.90, dtype=dtype),\n",
"# tf.constant(0.02, dtype=dtype),\n",
"# tf.constant(0.07, dtype=dtype),\n",
"# tf.constant(0.02, dtype=dtype)]),\n",
"# components_distribution=tfd.Uniform(low=[tf.constant(x_min, dtype=dtype), \n",
"# tf.constant(3089, dtype=dtype),\n",
"# tf.constant(3103, dtype=dtype), \n",
"# tf.constant(3681, dtype=dtype),\n",
"# tf.constant(3691, dtype=dtype)], \n",
"# high=[tf.constant(3089, dtype=dtype),\n",
"# tf.constant(3103, dtype=dtype), \n",
"# tf.constant(3681, dtype=dtype),\n",
"# tf.constant(3691, dtype=dtype), \n",
"# tf.constant(x_max, dtype=dtype)]))\n",
"# mixture = tfd.Uniform(tf.constant(x_min, dtype=dtype), tf.constant(x_max, dtype=dtype))\n",
"# sample = tf.random.uniform((n_to_produce, 1), dtype=dtype)\n",
" sample = mixture.sample((n_to_produce, 1))\n",
"# sample = tf.random.uniform((n_to_produce, 1), dtype=dtype)\n",
" weights = mixture.prob(sample)[:,0]\n",
"# weights = tf.broadcast_to(tf.constant(1., dtype=dtype), shape=(n_to_produce,))\n",
" # sample = tf.expand_dims(sample, axis=-1)\n",
"# print(sample, weights)\n",
" \n",
"# weights = tf.ones(shape=(n_to_produce,), dtype=dtype)\n",
" weights_max = None\n",
" thresholds = tf.random_uniform(shape=(n_to_produce,), dtype=dtype)\n",
" return sample, thresholds, weights, weights_max, n_to_produce"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"# total_f._sample_and_weights = UniformSampleAndWeights"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"# 0.00133/(0.00133+0.213+0.015)*(x_max-3750)/(x_max-x_min)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"# zfit.settings.set_verbosity(10)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"# # zfit.run.numeric_checks = False \n",
"\n",
"# nr_of_toys = 1\n",
"# nevents = int(pdg[\"number_of_decays\"])\n",
"# nevents = pdg[\"number_of_decays\"]\n",
"# event_stack = 1000000\n",
"# # zfit.settings.set_verbosity(10)\n",
"# calls = int(nevents/event_stack + 1)\n",
"\n",
"# total_samp = []\n",
"\n",
"# start = time.time()\n",
"\n",
"# sampler = total_f.create_sampler(n=event_stack)\n",
"\n",
"# for toy in range(nr_of_toys):\n",
" \n",
"# dirName = 'data/zfit_toys/toy_{0}'.format(toy)\n",
" \n",
"# if not os.path.exists(dirName):\n",
"# os.mkdir(dirName)\n",
"# print(\"Directory \" , dirName , \" Created \")\n",
"\n",
"# for call in range(calls):\n",
"\n",
"# sampler.resample(n=event_stack)\n",
"# s = sampler.unstack_x()\n",
"# sam = zfit.run(s)\n",
"# # clear_output(wait=True)\n",
"\n",
"# c = call + 1\n",
" \n",
"# print(\"{0}/{1} of Toy {2}/{3}\".format(c, calls, toy+1, nr_of_toys))\n",
"# print(\"Time taken: {}\".format(display_time(int(time.time() - start))))\n",
"# print(\"Projected time left: {}\".format(display_time(int((time.time() - start)/(c+calls*(toy))*((nr_of_toys-toy)*calls-c)))))\n",
"\n",
"# with open(\"data/zfit_toys/toy_{0}/{1}.pkl\".format(toy, call), \"wb\") as f:\n",
"# pkl.dump(sam, f, pkl.HIGHEST_PROTOCOL)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"# with open(r\"data/zfit_toys/toy_0/0.pkl\", \"rb\") as input_file:\n",
"# sam = pkl.load(input_file)\n",
"# print(sam[:10])\n",
"\n",
"# with open(r\"data/zfit_toys/toy_0/1.pkl\", \"rb\") as input_file:\n",
"# sam2 = pkl.load(input_file)\n",
"# print(sam2[:10])\n",
"\n",
"# print(np.sum(sam-sam2))"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"# print(\"Time to generate full toy: {} s\".format(int(time.time()-start)))\n",
"\n",
"# total_samp = []\n",
"\n",
"# for call in range(calls):\n",
"# with open(r\"data/zfit_toys/toy_0/{}.pkl\".format(call), \"rb\") as input_file:\n",
"# sam = pkl.load(input_file)\n",
"# total_samp = np.append(total_samp, sam)\n",
"\n",
"# total_samp = total_samp.astype('float64')\n",
"\n",
"# data2 = zfit.data.Data.from_numpy(array=total_samp[:int(nevents)], obs=obs)\n",
"\n",
"# data3 = zfit.data.Data.from_numpy(array=total_samp, obs=obs)\n",
"\n",
"# print(total_samp[:nevents].shape)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"# plt.clf()\n",
"\n",
"# bins = int((x_max-x_min)/7)\n",
"\n",
"# # calcs = zfit.run(total_test_tf(samp))\n",
"# print(total_samp[:nevents].shape)\n",
"\n",
"# plt.hist(total_samp[:nevents], bins = bins, range = (x_min,x_max), label = 'data')\n",
"# # plt.plot(test_q, calcs_test*nevents , label = 'pdf')\n",
"\n",
"# # plt.plot(sam, calcs, '.')\n",
"# # plt.plot(test_q, calcs_test)\n",
"# # plt.yscale('log')\n",
"# plt.ylim(0, 200)\n",
"# # plt.xlim(3080, 3110)\n",
"\n",
"# plt.legend()\n",
"\n",
"# plt.savefig('test2.png')"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"# sampler = total_f.create_sampler(n=nevents)\n",
"# nll = zfit.loss.UnbinnedNLL(model=total_f, data=sampler, fit_range = (x_min, x_max))\n",
"\n",
"# # for param in pdf.get_dependents():\n",
"# # param.set_value(initial_value)\n",
"\n",
"# sampler.resample(n=nevents)\n",
"\n",
"# # Randomise initial values\n",
"# # for param in pdf.get_dependents():\n",
"# # param.set_value(random value here)\n",
"\n",
"# # Minimise the NLL\n",
"# minimizer = zfit.minimize.MinuitMinimizer(verbosity = 10)\n",
"# minimum = minimizer.minimize(nll)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"# jpsi_width"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"# plt.hist(sample, weights=1 / prob(sample))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Fitting"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"# start = time.time()\n",
"\n",
"# for param in total_f.get_dependents():\n",
"# param.randomize()\n",
" \n",
"# # for param in total_f.get_dependents():\n",
"# # print(zfit.run(param))\n",
" \n",
"# nll = zfit.loss.UnbinnedNLL(model=total_f, data=data2, fit_range = (x_min, x_max))\n",
"\n",
"# minimizer = zfit.minimize.MinuitMinimizer(verbosity = 5)\n",
"# # minimizer._use_tfgrad = False\n",
"# result = minimizer.minimize(nll)\n",
"\n",
"# # param_errors = result.error()\n",
"\n",
"# # for var, errors in param_errors.items():\n",
"# # print('{}: ^{{+{}}}_{{{}}}'.format(var.name, errors['upper'], errors['lower']))\n",
"\n",
"# print(\"Function minimum:\", result.fmin)\n",
"# # print(\"Results:\", result.params)\n",
"# print(\"Hesse errors:\", result.hesse())"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"# print(\"Time taken for fitting: {}\".format(display_time(int(time.time()-start))))\n",
"\n",
"# # probs = total_f.pdf(test_q)\n",
"\n",
"# calcs_test = zfit.run(probs)\n",
"# res_y = zfit.run(jpsi_res(test_q))"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"# plt.clf()\n",
"# # plt.plot(x_part, calcs, '.')\n",
"# plt.plot(test_q, calcs_test, label = 'pdf')\n",
"# # plt.plot(test_q, res_y, label = 'res')\n",
"# plt.legend()\n",
"# plt.ylim(0.0, 10e-6)\n",
"# # plt.yscale('log')\n",
"# # plt.xlim(3080, 3110)\n",
"# plt.savefig('test3.png')\n",
"# # print(jpsi_width)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"# _tot = 4.37e-7+6.02e-5+4.97e-6\n",
"# _probs = []\n",
"# _probs.append(6.02e-5/_tot)\n",
"# _probs.append(4.97e-6/_tot)\n",
"# _probs.append(4.37e-7/_tot)\n",
"# print(_probs)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"# dtype = 'float64'\n",
"# # mixture = tfd.Uniform(tf.constant(x_min, dtype=dtype), tf.constant(x_max, dtype=dtype))\n",
"# mixture = tfd.MixtureSameFamily(mixture_distribution=tfd.Categorical(probs=[tf.constant(0.007, dtype=dtype),\n",
"# tf.constant(0.917, dtype=dtype),\n",
"# tf.constant(0.076, dtype=dtype)]),\n",
"# components_distribution=tfd.Uniform(low=[tf.constant(x_min, dtype=dtype), \n",
"# tf.constant(3080, dtype=dtype),\n",
"# tf.constant(3670, dtype=dtype)], \n",
"# high=[tf.constant(x_max, dtype=dtype),\n",
"# tf.constant(3112, dtype=dtype), \n",
"# tf.constant(3702, dtype=dtype)]))\n",
"# # for i in range(10):\n",
"# # print(zfit.run(mixture.prob(mixture.sample((10, 1)))))"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"# print((zfit.run(jpsi_p)%(2*np.pi))/np.pi)\n",
"# print((zfit.run(psi2s_p)%(2*np.pi))/np.pi)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"# def jpsi_res(q):\n",
"# return resonance(q, _mass = jpsi_mass, scale = jpsi_scale,\n",
"# phase = jpsi_phase, width = jpsi_width)\n",
"\n",
"# def psi2s_res(q):\n",
"# return resonance(q, _mass = psi2s_mass, scale = psi2s_scale,\n",
"# phase = psi2s_phase, width = psi2s_width)\n",
" \n",
"# def p3770_res(q):\n",
"# return resonance(q, _mass = p3770_mass, scale = p3770_scale,\n",
"# phase = p3770_phase, width = p3770_width)\n",
" \n",
"# def p4040_res(q):\n",
"# return resonance(q, _mass = p4040_mass, scale = p4040_scale,\n",
"# phase = p4040_phase, width = p4040_width)\n",
" \n",
"# def p4160_res(q):\n",
"# return resonance(q, _mass = p4160_mass, scale = p4160_scale,\n",
"# phase = p4160_phase, width = p4160_width)\n",
" \n",
"# def p4415_res(q):\n",
"# return resonance(q, _mass = p4415_mass, scale = p4415_scale,\n",
"# phase = p4415_phase, width = p4415_width)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"# 0.15**2*4.2/1000\n",
"# result.hesse()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constraints"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"# 1. Constraint - Real part of sum of Psi contrib and D contribs\n",
"\n",
"sum_list = []\n",
"\n",
"sum_list.append(ztf.to_complex(jpsi_s) * tf.exp(tf.complex(ztf.constant(0.0), jpsi_p)) * ztf.to_complex(jpsi_w / (tf.pow(jpsi_m,3))))\n",
"sum_list.append(ztf.to_complex(psi2s_s) * tf.exp(tf.complex(ztf.constant(0.0), psi2s_p)) * ztf.to_complex(psi2s_w / (tf.pow(psi2s_m,3))))\n",
"sum_list.append(ztf.to_complex(p3770_s) * tf.exp(tf.complex(ztf.constant(0.0), p3770_p)) * ztf.to_complex(p3770_w / (tf.pow(p3770_m,3))))\n",
"sum_list.append(ztf.to_complex(p4040_s) * tf.exp(tf.complex(ztf.constant(0.0), p4040_p)) * ztf.to_complex(p4040_w / (tf.pow(p4040_m,3))))\n",
"sum_list.append(ztf.to_complex(p4160_s) * tf.exp(tf.complex(ztf.constant(0.0), p4160_p)) * ztf.to_complex(p4160_w / (tf.pow(p4160_m,3))))\n",
"sum_list.append(ztf.to_complex(p4415_s) * tf.exp(tf.complex(ztf.constant(0.0), p4415_p)) * ztf.to_complex(p4415_w / (tf.pow(p4415_m,3))))\n",
"sum_list.append(ztf.to_complex(DDstar_s) * tf.exp(tf.complex(ztf.constant(0.0), DDstar_p)) * (ztf.to_complex(1.0 / (10.0*tf.pow(Dstar_m,2)) + 1.0 / (10.0*tf.pow(D_m,2)))))\n",
"sum_list.append(ztf.to_complex(Dbar_s) * tf.exp(tf.complex(ztf.constant(0.0), Dbar_p)) * ztf.to_complex(1.0 / (6.0*tf.pow(Dbar_m,2))))\n",
"\n",
"sum_ru_1 = ztf.to_complex(ztf.constant(0.0))\n",
"\n",
"for part in sum_list:\n",
" sum_ru_1 += part\n",
"\n",
"sum_1 = tf.math.real(sum_ru_1)\n",
"# constraint1 = zfit.constraint.GaussianConstraint(params = sum_1, mu = ztf.constant(1.7*10**-8), \n",
"# sigma = ztf.constant(2.2*10**-8))\n",
"\n",
"constraint1 = tf.pow((sum_1-ztf.constant(1.7*10**-8))/ztf.constant(2.2*10**-8),2)/ztf.constant(2.)\n",
"\n",
"# 2. Constraint - Abs. of sum of Psi contribs and D contribs\n",
"\n",
"sum_2 = tf.abs(sum_ru_1)\n",
"constraint2 = tf.cond(tf.greater_equal(sum_2, 5.0e-8), lambda: 100000., lambda: 0.)\n",
"\n",
"# 3. Constraint - Maximum eta of D contribs\n",
"\n",
"constraint3_0 = tf.cond(tf.greater_equal(tf.abs(Dbar_s), 0.2), lambda: 100000., lambda: 0.)\n",
"\n",
"constraint3_1 = tf.cond(tf.greater_equal(tf.abs(DDstar_s), 0.2), lambda: 100000., lambda: 0.)\n",
"\n",
"# 4. Constraint - Formfactor multivariant gaussian covariance fplus\n",
"\n",
"Cov_matrix = [[ztf.constant( 1.), ztf.constant( 0.45), ztf.constant( 0.19), ztf.constant(0.857), ztf.constant(0.598), ztf.constant(0.531), ztf.constant(0.752), ztf.constant(0.229), ztf.constant(0,117)],\n",
" [ztf.constant( 0.45), ztf.constant( 1.), ztf.constant(0.677), ztf.constant(0.708), ztf.constant(0.958), ztf.constant(0.927), ztf.constant(0.227), ztf.constant(0.443), ztf.constant(0.287)],\n",
" [ztf.constant( 0.19), ztf.constant(0.677), ztf.constant( 1.), ztf.constant(0.595), ztf.constant(0.770), ztf.constant(0.819),ztf.constant(-0.023), ztf.constant( 0.07), ztf.constant(0.196)],\n",
" [ztf.constant(0.857), ztf.constant(0.708), ztf.constant(0.595), ztf.constant( 1.), ztf.constant( 0.83), ztf.constant(0.766), ztf.constant(0.582), ztf.constant(0.237), ztf.constant(0.192)],\n",
" [ztf.constant(0.598), ztf.constant(0.958), ztf.constant(0.770), ztf.constant( 0.83), ztf.constant( 1.), ztf.constant(0.973), ztf.constant(0.324), ztf.constant(0.372), ztf.constant(0.272)],\n",
" [ztf.constant(0.531), ztf.constant(0.927), ztf.constant(0.819), ztf.constant(0.766), ztf.constant(0.973), ztf.constant( 1.), ztf.constant(0.268), ztf.constant(0.332), ztf.constant(0.269)],\n",
" [ztf.constant(0.752), ztf.constant(0.227),ztf.constant(-0.023), ztf.constant(0.582), ztf.constant(0.324), ztf.constant(0.268), ztf.constant( 1.), ztf.constant( 0.59), ztf.constant(0.515)],\n",
" [ztf.constant(0.229), ztf.constant(0.443), ztf.constant( 0.07), ztf.constant(0.237), ztf.constant(0.372), ztf.constant(0.332), ztf.constant( 0.59), ztf.constant( 1.), ztf.constant(0.897)],\n",
" [ztf.constant(0.117), ztf.constant(0.287), ztf.constant(0.196), ztf.constant(0.192), ztf.constant(0.272), ztf.constant(0.269), ztf.constant(0.515), ztf.constant(0.897), ztf.constant( 1.)]]\n",
"\n",
"def triGauss(val1,val2,val3,m = Cov_matrix):\n",
"\n",
" mean1 = ztf.constant(0.466)\n",
" mean2 = ztf.constant(-0.885)\n",
" mean3 = ztf.constant(-0.213)\n",
" sigma1 = ztf.constant(0.014)\n",
" sigma2 = ztf.constant(0.128)\n",
" sigma3 = ztf.constant(0.548)\n",
" x1 = (val1-mean1)/sigma1\n",
" x2 = (val2-mean2)/sigma2\n",
" x3 = (val3-mean3)/sigma3\n",
" rho12 = m[0][1]\n",
" rho13 = m[0][2]\n",
" rho23 = m[1][2]\n",
" w = x1*x1*(rho23*rho23-1) + x2*x2*(rho13*rho13-1)+x3*x3*(rho12*rho12-1)+2*(x1*x2*(rho12-rho13*rho23)+x1*x3*(rho13-rho12*rho23)+x2*x3*(rho23-rho12*rho13))\n",
" d = 2*(rho12*rho12+rho13*rho13+rho23*rho23-2*rho12*rho13*rho23-1)\n",
" \n",
" fcn = -w/d\n",
" chisq = -2*fcn\n",
" return chisq\n",
"\n",
"constraint4 = triGauss(bplus_0, bplus_1, bplus_2)\n",
"\n",
"# mean1 = ztf.constant(0.466)\n",
"# mean2 = ztf.constant(-0.885)\n",
"# mean3 = ztf.constant(-0.213)\n",
"# sigma1 = ztf.constant(0.014)\n",
"# sigma2 = ztf.constant(0.128)\n",
"# sigma3 = ztf.constant(0.548)\n",
"# constraint4_0 = tf.pow((bplus_0-mean1)/sigma1,2)/ztf.constant(2.)\n",
"# constraint4_1 = tf.pow((bplus_1-mean2)/sigma2,2)/ztf.constant(2.)\n",
"# constraint4_2 = tf.pow((bplus_2-mean3)/sigma3,2)/ztf.constant(2.)\n",
"\n",
"# 5. Constraint - Abs. of sum of light contribs\n",
"\n",
"sum_list_5 = []\n",
"\n",
"sum_list_5.append(rho_s*rho_w/rho_m)\n",
"sum_list_5.append(omega_s*omega_w/omega_m)\n",
"sum_list_5.append(phi_s*phi_w/phi_m)\n",
"\n",
"\n",
"sum_ru_5 = ztf.constant(0.0)\n",
"\n",
"for part in sum_list_5:\n",
" sum_ru_5 += part\n",
"\n",
"constraint5 = tf.cond(tf.greater_equal(tf.abs(sum_ru_5), ztf.constant(0.02)), lambda: 100000., lambda: 0.)\n",
"\n",
"# 6. Constraint on phases of Jpsi and Psi2s for cut out fit\n",
"\n",
"\n",
"# constraint6_0 = zfit.constraint.GaussianConstraint(params = jpsi_p, mu = ztf.constant(pdg[\"jpsi_phase_unc\"]),\n",
"# sigma = ztf.constant(jpsi_phase))\n",
"# constraint6_1 = zfit.constraint.GaussianConstraint(params = psi2s_p, mu = ztf.constant(pdg[\"psi2s_phase_unc\"]),\n",
"# sigma = ztf.constant(psi2s_phase))\n",
"\n",
"constraint6_0 = tf.pow((jpsi_p-ztf.constant(jpsi_phase))/ztf.constant(pdg[\"jpsi_phase_unc\"]),2)/ztf.constant(2.)\n",
"constraint6_1 = tf.pow((psi2s_p-ztf.constant(psi2s_phase))/ztf.constant(pdg[\"psi2s_phase_unc\"]),2)/ztf.constant(2.)\n",
"\n",
"# 7. Constraint on Ctt with higher limits\n",
"\n",
"constraint7 = tf.cond(tf.greater_equal(Ctt*Ctt, 0.25), lambda: 100000., lambda: 0.)\n",
"\n",
"constraint7dtype = tf.float64\n",
"\n",
"# zfit.run(constraint6_0)\n",
"\n",
"# ztf.convert_to_tensor(constraint6_0)\n",
"\n",
"#List of all constraints\n",
"\n",
"constraints = [constraint1, constraint2, constraint3_0, constraint3_1,# constraint4, #constraint4_0, constraint4_1, constraint4_2,\n",
" constraint6_0, constraint6_1]#, constraint7]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Reset params"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"def reset_param_values(): \n",
" jpsi_m.set_value(jpsi_mass)\n",
" jpsi_s.set_value(jpsi_scale)\n",
" jpsi_p.set_value(jpsi_phase)\n",
" jpsi_w.set_value(jpsi_width)\n",
" psi2s_m.set_value(psi2s_mass)\n",
" psi2s_s.set_value(psi2s_scale)\n",
" psi2s_p.set_value(psi2s_phase)\n",
" psi2s_w.set_value(psi2s_width)\n",
" p3770_m.set_value(p3770_mass)\n",
" p3770_s.set_value(p3770_scale)\n",
" p3770_p.set_value(p3770_phase)\n",
" p3770_w.set_value(p3770_width)\n",
" p4040_m.set_value(p4040_mass)\n",
" p4040_s.set_value(p4040_scale)\n",
" p4040_p.set_value(p4040_phase)\n",
" p4040_w.set_value(p4040_width)\n",
" p4160_m.set_value(p4160_mass)\n",
" p4160_s.set_value(p4160_scale)\n",
" p4160_p.set_value(p4160_phase)\n",
" p4160_w.set_value(p4160_width)\n",
" p4415_m.set_value(p4415_mass)\n",
" p4415_s.set_value(p4415_scale)\n",
" p4415_p.set_value(p4415_phase)\n",
" p4415_w.set_value(p4415_width)\n",
" rho_m.set_value(rho_mass)\n",
" rho_s.set_value(rho_scale)\n",
" rho_p.set_value(rho_phase)\n",
" rho_w.set_value(rho_width)\n",
" omega_m.set_value(omega_mass)\n",
" omega_s.set_value(omega_scale)\n",
" omega_p.set_value(omega_phase)\n",
" omega_w.set_value(omega_width)\n",
" phi_m.set_value(phi_mass)\n",
" phi_s.set_value(phi_scale)\n",
" phi_p.set_value(phi_phase)\n",
" phi_w.set_value(phi_width)\n",
" Dstar_m.set_value(Dstar_mass)\n",
" DDstar_s.set_value(0.0)\n",
" DDstar_p.set_value(0.0)\n",
" D_m.set_value(D_mass)\n",
" Dbar_m.set_value(Dbar_mass)\n",
" Dbar_s.set_value(0.0)\n",
" Dbar_p.set_value(0.0)\n",
" tau_m.set_value(pdg['tau_M'])\n",
" Ctt.set_value(0.0)\n",
" b0_0.set_value(0.292)\n",
" b0_1.set_value(0.281)\n",
" b0_2.set_value(0.150)\n",
" bplus_0.set_value(0.466)\n",
" bplus_1.set_value(-0.885)\n",
" bplus_2.set_value(-0.213)\n",
" bT_0.set_value(0.460)\n",
" bT_1.set_value(-1.089)\n",
" bT_2.set_value(-1.114)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analysis"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"WARNING:tensorflow:From C:\\Users\\sa_li\\.conda\\envs\\rmd\\lib\\site-packages\\zfit\\core\\sample.py:163: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use tf.cast instead.\n",
"Toy 0: Generating data...\n",
"Toy 0: Data generation finished\n",
"Toy 0: Loading data...\n",
"Toy 0: Loading data finished\n",
"Toy 0: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.978E+05 | Ncalls=1266 (1266 total) |\n",
"| EDM = 0.00226 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| False | True | True | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | False | False | True |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297802.6007923239\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | -0.300 | 0.026 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.12 | 0.11 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 2.0 | 0.4 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -0.43 | 0.19 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | 5.1 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 6.28 | 0.14 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | -6.283 | 0.010 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 5.0 | 0.9 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.33 | 0.28 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 0.45 | 0.19 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -2.10 | 0.22 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 1.77 | 0.15 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 0.717 | 0.012 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | 5.75 | 0.25 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -2.7 | 0.5 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -4.76 | 0.12 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 15.8 | 0.9 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | 3.02 | 0.19 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.021 | 0.636 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | 4.3 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.30 | 0.54 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.287 -0.239 0.026 0.199 -0.002 -0.001 0.011 -0.032 0.176 0.246 0.054 0.015 0.060 -0.237 0.292 -0.014 0.260 0.285 -0.062 -0.300 |\n",
"| psi2s_p | 0.287 1.000 -0.725 0.076 0.792 -0.007 -0.004 0.031 -0.097 0.461 0.840 0.059 0.053 0.151 -0.646 0.937 -0.039 0.864 0.918 -0.174 -0.952 |\n",
"| p3770_s | -0.239 -0.725 1.000 -0.060 -0.622 0.006 0.002 -0.022 0.072 -0.381 -0.705 -0.039 -0.042 -0.105 0.533 -0.776 0.025 -0.657 -0.786 0.174 0.781 |\n",
"| phi_p | 0.026 0.076 -0.060 1.000 0.084 -0.001 -0.000 -0.011 0.002 0.035 0.070 0.000 0.005 0.111 -0.042 0.079 0.497 0.077 0.075 -0.011 -0.081 |\n",
"| Dbar_p | 0.199 0.792 -0.622 0.084 1.000 -0.008 -0.006 0.036 -0.093 0.499 0.723 0.100 0.046 0.214 -0.731 0.872 -0.050 0.822 0.897 -0.117 -0.901 |\n",
"| omega_p | -0.002 -0.007 0.006 -0.001 -0.008 1.000 0.000 -0.122 0.028 -0.004 -0.007 -0.000 -0.000 0.020 0.005 -0.008 -0.003 -0.007 -0.007 0.001 0.008 |\n",
"| p4160_p | -0.001 -0.004 0.002 -0.000 -0.006 0.000 1.000 -0.000 0.001 -0.007 -0.004 0.008 -0.002 -0.001 0.000 -0.004 0.000 -0.005 -0.004 0.002 0.004 |\n",
"| omega_s | 0.011 0.031 -0.022 -0.011 0.036 -0.122 -0.000 1.000 -0.439 0.014 0.029 -0.002 0.002 0.171 -0.017 0.032 0.027 0.033 0.029 -0.003 -0.033 |\n",
"| rho_s | -0.032 -0.097 0.072 0.002 -0.093 0.028 0.001 -0.439 1.000 -0.052 -0.088 -0.007 -0.006 0.147 0.065 -0.104 0.020 -0.096 -0.095 0.015 0.102 |\n",
"| p4415_s | 0.176 0.461 -0.381 0.035 0.499 -0.004 -0.007 0.014 -0.052 1.000 0.395 0.085 0.030 0.057 -0.243 0.496 -0.018 0.510 0.550 -0.117 -0.502 |\n",
"| p3770_p | 0.246 0.840 -0.705 0.070 0.723 -0.007 -0.004 0.029 -0.088 0.395 1.000 0.013 0.047 0.147 -0.611 0.823 -0.037 0.789 0.796 -0.131 -0.842 |\n",
"| p4040_s | 0.054 0.059 -0.039 0.000 0.100 -0.000 0.008 -0.002 -0.007 0.085 0.013 1.000 0.000 -0.023 0.009 0.104 0.003 -0.022 0.169 -0.159 -0.097 |\n",
"| p4160_s | 0.015 0.053 -0.042 0.005 0.046 -0.000 -0.002 0.002 -0.006 0.030 0.047 0.000 1.000 0.011 -0.034 0.053 -0.003 0.045 0.049 -0.003 -0.052 |\n",
"| rho_p | 0.060 0.151 -0.105 0.111 0.214 0.020 -0.001 0.171 0.147 0.057 0.147 -0.023 0.011 1.000 -0.055 0.172 0.127 0.175 0.139 -0.007 -0.163 |\n",
"| DDstar_p | -0.237 -0.646 0.533 -0.042 -0.731 0.005 0.000 -0.017 0.065 -0.243 -0.611 0.009 -0.034 -0.055 1.000 -0.628 0.016 -0.536 -0.705 0.202 0.743 |\n",
"| jpsi_p | 0.292 0.937 -0.776 0.079 0.872 -0.008 -0.004 0.032 -0.104 0.496 0.823 0.104 0.053 0.172 -0.628 1.000 -0.048 0.876 0.954 -0.184 -0.974 |\n",
"| phi_s | -0.014 -0.039 0.025 0.497 -0.050 -0.003 0.000 0.027 0.020 -0.018 -0.037 0.003 -0.003 0.127 0.016 -0.048 1.000 -0.045 -0.034 0.001 0.040 |\n",
"| p4040_p | 0.260 0.864 -0.657 0.077 0.822 -0.007 -0.005 0.033 -0.096 0.510 0.789 -0.022 0.045 0.175 -0.536 0.876 -0.045 1.000 0.856 -0.151 -0.881 |\n",
"| Ctt | 0.285 0.918 -0.786 0.075 0.897 -0.007 -0.004 0.029 -0.095 0.550 0.796 0.169 0.049 0.139 -0.705 0.954 -0.034 0.856 1.000 -0.205 -0.982 |\n",
"| p4415_p | -0.062 -0.174 0.174 -0.011 -0.117 0.001 0.002 -0.003 0.015 -0.117 -0.131 -0.159 -0.003 -0.007 0.202 -0.184 0.001 -0.151 -0.205 1.000 0.197 |\n",
"| Dbar_s | -0.300 -0.952 0.781 -0.081 -0.901 0.008 0.004 -0.033 0.102 -0.502 -0.842 -0.097 -0.052 -0.163 0.743 -0.974 0.040 -0.881 -0.982 0.197 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.026438535718194017}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.10588983666642804}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.36086317466917783}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.19079655937529916}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.41574684528752126}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.1355520007630746}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.00974483767324763}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 0.8613276945009707}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.28158617876977865}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.1915630526465161}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.2235655443212885}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.15287528678279771}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.01199094350809532}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.2488236198489755}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.5201072657958499}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.11857038746341875}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 0.8693077060488239}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.18924469739929783}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.6358539317359582}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.40875048069118236}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.5430910159955151})])\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\sa_li\\.conda\\envs\\rmd\\lib\\site-packages\\ipykernel_launcher.py:196: UserWarning: Creating legend with loc=\"best\" can be slow with large amounts of data.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 1/15\n",
"Time taken: 2 min, 3 s\n",
"Projected time left: 28 min, 42 s\n",
"Toy 1: Generating data...\n",
"Toy 1: Data generation finished\n",
"Toy 1: Loading data...\n",
"Toy 1: Loading data finished\n",
"Toy 1: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.977E+05 | Ncalls=1118 (1118 total) |\n",
"| EDM = 0.000159 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297712.9015097967\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | 0.300 | 0.022 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.06 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 1.97 | 0.23 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | 6.20 | 0.26 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | -5.07 | 0.30 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | -6.0 | 0.6 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | 4.12 | 0.09 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 5.1 | 3.0 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.5 | 0.3 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.53 | 0.18 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -2.00 | 0.13 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 1.06 | 0.17 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.55 | 0.16 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | 6.16 | 0.22 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | 4.89 | 0.22 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | 4.527 | 0.026 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 16.5 | 1.1 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.34 | 0.17 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.30 | 0.16 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | 3.95 | 0.14 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.300 | 0.014 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.026 -0.011 -0.000 -0.010 -0.001 0.034 -0.001 -0.000 0.004 0.009 0.007 0.003 -0.003 0.028 0.062 0.001 0.010 0.024 0.026 -0.001 |\n",
"| psi2s_p | 0.026 1.000 0.250 -0.004 0.142 -0.005 0.286 -0.005 0.000 -0.186 0.259 -0.202 -0.111 -0.003 0.165 -0.073 -0.005 0.224 -0.461 0.117 0.028 |\n",
"| p3770_s | -0.011 0.250 1.000 0.003 -0.122 0.012 -0.003 0.013 -0.006 0.060 -0.148 0.183 0.093 0.031 -0.064 -0.083 -0.009 0.016 -0.056 0.035 -0.016 |\n",
"| phi_p | -0.000 -0.004 0.003 1.000 -0.003 0.025 0.001 0.010 0.032 -0.003 0.000 -0.002 -0.002 0.084 -0.009 -0.027 0.664 0.002 -0.011 0.000 0.000 |\n",
"| Dbar_p | -0.010 0.142 -0.122 -0.003 1.000 -0.005 -0.211 -0.004 -0.010 -0.036 -0.019 -0.069 -0.090 -0.025 -0.634 -0.206 0.006 -0.173 -0.521 -0.174 0.005 |\n",
"| omega_p | -0.001 -0.005 0.012 0.025 -0.005 1.000 0.006 0.872 -0.232 -0.004 0.002 -0.001 0.001 0.118 -0.025 -0.064 0.082 0.010 -0.035 0.005 -0.000 |\n",
"| p4160_p | 0.034 0.286 -0.003 0.001 -0.211 0.006 1.000 0.006 0.004 -0.017 0.247 -0.494 -0.160 0.029 0.286 -0.036 -0.010 0.226 -0.302 0.309 0.004 |\n",
"| omega_s | -0.001 -0.005 0.013 0.010 -0.004 0.872 0.006 1.000 -0.399 -0.003 0.002 -0.001 0.001 0.245 -0.024 -0.067 0.082 0.009 -0.035 0.004 -0.000 |\n",
"| rho_s | -0.000 0.000 -0.006 0.032 -0.010 -0.232 0.004 -0.399 1.000 -0.008 0.000 -0.005 -0.010 0.149 -0.021 0.009 0.020 -0.000 -0.010 0.001 -0.001 |\n",
"| p4415_s | 0.004 -0.186 0.060 -0.003 -0.036 -0.004 -0.017 -0.003 -0.008 1.000 -0.113 0.160 0.317 -0.014 -0.260 0.010 -0.000 0.064 0.281 -0.134 0.006 |\n",
"| p3770_p | 0.009 0.259 -0.148 0.000 -0.019 0.002 0.247 0.002 0.000 -0.113 1.000 -0.116 -0.030 0.008 0.184 -0.033 -0.003 0.244 -0.289 0.122 0.006 |\n",
"| p4040_s | 0.007 -0.202 0.183 -0.002 -0.069 -0.001 -0.494 -0.001 -0.005 0.160 -0.116 1.000 0.060 -0.003 -0.248 0.001 -0.003 -0.186 0.326 -0.193 0.006 |\n",
"| p4160_s | 0.003 -0.111 0.093 -0.002 -0.090 0.001 -0.160 0.001 -0.010 0.317 -0.030 0.060 1.000 -0.002 -0.244 -0.019 -0.004 0.361 0.212 -0.150 0.000 |\n",
"| rho_p | -0.003 -0.003 0.031 0.084 -0.025 0.118 0.029 0.245 0.149 -0.014 0.008 -0.003 -0.002 1.000 -0.107 -0.145 0.137 0.034 -0.118 0.021 -0.002 |\n",
"| DDstar_p | 0.028 0.165 -0.064 -0.009 -0.634 -0.025 0.286 -0.024 -0.021 -0.260 0.184 -0.248 -0.244 -0.107 1.000 0.408 0.027 0.092 0.227 0.042 -0.031 |\n",
"| jpsi_p | 0.062 -0.073 -0.083 -0.027 -0.206 -0.064 -0.036 -0.067 0.009 0.010 -0.033 0.001 -0.019 -0.145 0.408 1.000 0.016 -0.080 0.452 -0.026 0.035 |\n",
"| phi_s | 0.001 -0.005 -0.009 0.664 0.006 0.082 -0.010 0.082 0.020 -0.000 -0.003 -0.003 -0.004 0.137 0.027 0.016 1.000 -0.011 0.028 -0.008 0.001 |\n",
"| p4040_p | 0.010 0.224 0.016 0.002 -0.173 0.010 0.226 0.009 -0.000 0.064 0.244 -0.186 0.361 0.034 0.092 -0.080 -0.011 1.000 -0.225 0.173 -0.004 |\n",
"| Ctt | 0.024 -0.461 -0.056 -0.011 -0.521 -0.035 -0.302 -0.035 -0.010 0.281 -0.289 0.326 0.212 -0.118 0.227 0.452 0.028 -0.225 1.000 -0.089 0.004 |\n",
"| p4415_p | 0.026 0.117 0.035 0.000 -0.174 0.005 0.309 0.004 0.001 -0.134 0.122 -0.193 -0.150 0.021 0.042 -0.026 -0.008 0.173 -0.089 1.000 0.002 |\n",
"| Dbar_s | -0.001 0.028 -0.016 0.000 0.005 -0.000 0.004 -0.000 -0.001 0.006 0.006 0.006 0.000 -0.002 -0.031 0.035 0.001 -0.004 0.004 0.002 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.02215974098551443}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.0321947897928192}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.22720056394069743}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.26154840400711254}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.30060561154625143}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.5931485753481085}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.08739229819390726}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 3.0061071278032503}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3259333401663742}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.1802244607762047}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.13140700738119193}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.16797069161014594}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.1626269650701777}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.2218389047264795}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.21726966084368993}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.025613247486178103}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 1.0532597652043885}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.17297013054059907}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.15724705228223068}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.1366323222455872}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.014237440675381602})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 2/15\n",
"Time taken: 3 min, 44 s\n",
"Projected time left: 24 min, 16 s\n",
"Toy 2: Generating data...\n",
"Toy 2: Data generation finished\n",
"Toy 2: Loading data...\n",
"Toy 2: Loading data finished\n",
"Toy 2: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.977E+05 | Ncalls=1017 (1017 total) |\n",
"| EDM = 1.43E-05 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297696.73191606125\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | -0.30 | 0.06 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.12 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 0.919 | 0.016 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -6 | 8 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | -1.5 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 0.6 | 0.3 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | 4.15 | 0.10 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 8.5 | 1.4 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 0.8 | 0.3 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.23 | 0.18 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -6.283 | 0.023 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.96 | 0.17 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.13 | 0.16 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -0.18 | 0.45 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -4.4 | 0.3 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -1.709 | 0.025 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 17 | 5 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.61 | 0.18 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.40 | 0.16 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -2.39 | 0.17 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | 0.30 | 0.05 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.057 0.001 0.015 -0.078 0.006 0.106 -0.000 0.000 -0.003 -0.000 0.011 0.010 -0.008 0.142 0.160 0.015 0.056 0.078 0.076 -0.013 |\n",
"| psi2s_p | 0.057 1.000 0.005 -0.034 0.355 -0.012 0.174 0.001 -0.005 -0.150 -0.009 -0.189 -0.127 -0.008 -0.115 -0.002 -0.033 0.064 -0.529 0.039 0.099 |\n",
"| p3770_s | 0.001 0.005 1.000 0.000 -0.001 0.000 0.006 0.000 -0.000 -0.003 -0.001 -0.005 -0.001 -0.000 0.004 0.001 0.000 0.006 -0.006 0.003 0.000 |\n",
"| phi_p | 0.015 -0.034 0.000 1.000 0.033 0.302 -0.036 -0.108 0.027 -0.003 0.001 -0.006 -0.015 -0.161 0.059 -0.121 0.997 -0.047 0.060 -0.033 0.011 |\n",
"| Dbar_p | -0.078 0.355 -0.001 0.033 1.000 0.010 -0.314 -0.000 -0.014 0.123 0.010 0.153 -0.004 -0.016 -0.851 -0.108 0.033 -0.254 -0.600 -0.197 0.035 |\n",
"| omega_p | 0.006 -0.012 0.000 0.302 0.010 1.000 -0.013 0.674 0.320 -0.003 0.001 -0.003 -0.008 -0.143 0.025 -0.037 0.303 -0.019 0.027 -0.013 0.004 |\n",
"| p4160_p | 0.106 0.174 0.006 -0.036 -0.314 -0.013 1.000 -0.000 0.006 -0.064 -0.006 -0.515 -0.160 0.024 0.370 0.010 -0.037 0.095 -0.150 0.303 0.019 |\n",
"| omega_s | -0.000 0.001 0.000 -0.108 -0.000 0.674 -0.000 1.000 -0.019 0.000 0.000 0.000 0.000 0.070 0.001 0.006 -0.103 -0.000 0.002 -0.000 -0.000 |\n",
"| rho_s | 0.000 -0.005 -0.000 0.027 -0.014 0.320 0.006 -0.019 1.000 -0.010 -0.000 -0.008 -0.008 0.216 -0.023 -0.033 0.028 0.006 -0.030 0.003 -0.000 |\n",
"| p4415_s | -0.003 -0.150 -0.003 -0.003 0.123 -0.003 -0.064 0.000 -0.010 1.000 0.001 0.132 0.326 -0.010 -0.291 -0.035 -0.003 0.076 0.175 -0.156 0.026 |\n",
"| p3770_p | -0.000 -0.009 -0.001 0.001 0.010 0.001 -0.006 0.000 -0.000 0.001 1.000 -0.001 -0.003 -0.002 -0.007 0.004 0.001 -0.008 0.004 -0.004 0.001 |\n",
"| p4040_s | 0.011 -0.189 -0.005 -0.006 0.153 -0.003 -0.515 0.000 -0.008 0.132 -0.001 1.000 -0.083 -0.013 -0.281 -0.003 -0.006 -0.232 0.229 -0.234 0.037 |\n",
"| p4160_s | 0.010 -0.127 -0.001 -0.015 -0.004 -0.008 -0.160 0.000 -0.008 0.326 -0.003 -0.083 1.000 0.007 -0.204 -0.063 -0.016 0.366 0.162 -0.155 0.014 |\n",
"| rho_p | -0.008 -0.008 -0.000 -0.161 -0.016 -0.143 0.024 0.070 0.216 -0.010 -0.002 -0.013 0.007 1.000 -0.099 -0.146 -0.152 0.041 -0.138 0.022 -0.001 |\n",
"| DDstar_p | 0.142 -0.115 0.004 0.059 -0.851 0.025 0.370 0.001 -0.023 -0.291 -0.007 -0.281 -0.204 -0.099 1.000 0.296 0.061 0.147 0.456 0.115 -0.058 |\n",
"| jpsi_p | 0.160 -0.002 0.001 -0.121 -0.108 -0.037 0.010 0.006 -0.033 -0.035 0.004 -0.003 -0.063 -0.146 0.296 1.000 -0.117 -0.074 0.354 -0.020 0.107 |\n",
"| phi_s | 0.015 -0.033 0.000 0.997 0.033 0.303 -0.037 -0.103 0.028 -0.003 0.001 -0.006 -0.016 -0.152 0.061 -0.117 1.000 -0.048 0.063 -0.033 0.011 |\n",
"| p4040_p | 0.056 0.064 0.006 -0.047 -0.254 -0.019 0.095 -0.000 0.006 0.076 -0.008 -0.232 0.366 0.041 0.147 -0.074 -0.048 1.000 -0.042 0.120 0.011 |\n",
"| Ctt | 0.078 -0.529 -0.006 0.060 -0.600 0.027 -0.150 0.002 -0.030 0.175 0.004 0.229 0.162 -0.138 0.456 0.354 0.063 -0.042 1.000 -0.016 0.020 |\n",
"| p4415_p | 0.076 0.039 0.003 -0.033 -0.197 -0.013 0.303 -0.000 0.003 -0.156 -0.004 -0.234 -0.155 0.022 0.115 -0.020 -0.033 0.120 -0.016 1.000 0.016 |\n",
"| Dbar_s | -0.013 0.099 0.000 0.011 0.035 0.004 0.019 -0.000 -0.000 0.026 0.001 0.037 0.014 -0.001 -0.058 0.107 0.011 0.011 0.020 0.016 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.058875377015676786}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.033521499395147814}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.016184203328837576}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 8.37432462843211}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.42560897291060407}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.34790325392731125}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.10193439480943578}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 1.3772448323544637}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.33342944119029977}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.18280504617565851}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.022860061316435143}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.16920777712131063}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.164649848922645}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.45380181319300217}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.3425344799465915}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.02521702369783352}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 5.467375909610385}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.184064395689175}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.1556835475337608}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.16856690415841125}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.049215801838525364})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 3/15\n",
"Time taken: 5 min, 21 s\n",
"Projected time left: 21 min, 24 s\n",
"Toy 3: Generating data...\n",
"Toy 3: Data generation finished\n",
"Toy 3: Loading data...\n",
"Toy 3: Loading data finished\n",
"Toy 3: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.976E+05 | Ncalls=1133 (1133 total) |\n",
"| EDM = 0.00433 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| False | True | True | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297609.29390604334\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | -0.30 | 0.04 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.11 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 2.32 | 0.23 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -6.0 | 2.3 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | -5.2 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 0.6 | 1.9 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | -2.06 | 0.09 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 7.4 | 3.1 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 0.78 | 0.31 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.35 | 0.18 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | 4.07 | 0.11 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 1.32 | 0.17 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.57 | 0.16 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | 5.6 | 0.6 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -4.51 | 0.26 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -1.745 | 0.027 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 19 | 6 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.76 | 0.14 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.68 | 0.17 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -2.68 | 0.16 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.300 | 0.021 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.057 -0.020 0.018 -0.024 -0.012 0.084 -0.012 0.009 0.004 0.026 0.015 0.003 -0.017 0.076 0.134 0.018 0.041 0.050 0.056 -0.005 |\n",
"| psi2s_p | 0.057 1.000 0.218 -0.014 0.086 -0.010 0.280 -0.009 -0.001 -0.182 0.291 -0.226 -0.092 -0.000 0.159 -0.052 -0.015 0.163 -0.403 0.058 0.040 |\n",
"| p3770_s | -0.020 0.218 1.000 -0.034 -0.125 0.038 -0.032 0.040 -0.030 0.065 -0.180 0.172 0.084 0.047 -0.060 -0.060 -0.034 0.049 0.007 0.042 -0.022 |\n",
"| phi_p | 0.018 -0.014 -0.034 1.000 0.021 -0.534 -0.038 -0.575 0.295 0.011 -0.018 0.008 -0.009 -0.580 0.193 0.100 0.993 -0.059 0.167 -0.037 0.006 |\n",
"| Dbar_p | -0.024 0.086 -0.125 0.021 1.000 -0.017 -0.321 -0.017 0.005 0.020 -0.109 0.006 -0.073 -0.029 -0.704 -0.335 0.021 -0.278 -0.591 -0.218 0.018 |\n",
"| omega_p | -0.012 -0.010 0.038 -0.534 -0.017 1.000 0.023 0.993 -0.177 -0.013 0.011 -0.014 0.008 0.519 -0.146 -0.195 -0.499 0.042 -0.148 0.023 -0.003 |\n",
"| p4160_p | 0.084 0.280 -0.032 -0.038 -0.321 0.023 1.000 0.024 -0.017 -0.116 0.273 -0.458 -0.145 0.040 0.374 0.060 -0.039 0.083 -0.176 0.310 -0.001 |\n",
"| omega_s | -0.012 -0.009 0.040 -0.575 -0.017 0.993 0.024 1.000 -0.245 -0.013 0.011 -0.014 0.008 0.536 -0.153 -0.197 -0.541 0.044 -0.154 0.024 -0.003 |\n",
"| rho_s | 0.009 -0.001 -0.030 0.295 0.005 -0.177 -0.017 -0.245 1.000 0.003 -0.010 0.005 -0.014 -0.132 0.095 0.109 0.284 -0.034 0.099 -0.021 0.002 |\n",
"| p4415_s | 0.004 -0.182 0.065 0.011 0.020 -0.013 -0.116 -0.013 0.003 1.000 -0.127 0.140 0.347 -0.018 -0.211 -0.003 0.010 0.079 0.232 -0.157 0.012 |\n",
"| p3770_p | 0.026 0.291 -0.180 -0.018 -0.109 0.011 0.273 0.011 -0.010 -0.127 1.000 -0.162 -0.012 0.018 0.217 -0.003 -0.019 0.237 -0.234 0.104 0.007 |\n",
"| p4040_s | 0.015 -0.226 0.172 0.008 0.006 -0.014 -0.458 -0.014 0.005 0.140 -0.162 1.000 -0.138 -0.016 -0.195 0.021 0.007 -0.208 0.310 -0.185 0.014 |\n",
"| p4160_s | 0.003 -0.092 0.084 -0.009 -0.073 0.008 -0.145 0.008 -0.014 0.347 -0.012 -0.138 1.000 0.009 -0.219 -0.032 -0.010 0.352 0.176 -0.031 -0.000 |\n",
"| rho_p | -0.017 -0.000 0.047 -0.580 -0.029 0.519 0.040 0.536 -0.132 -0.018 0.018 -0.016 0.009 1.000 -0.215 -0.205 -0.560 0.063 -0.203 0.037 -0.006 |\n",
"| DDstar_p | 0.076 0.159 -0.060 0.193 -0.704 -0.146 0.374 -0.153 0.095 -0.211 0.217 -0.195 -0.219 -0.215 1.000 0.511 0.195 0.092 0.377 0.009 -0.056 |\n",
"| jpsi_p | 0.134 -0.052 -0.060 0.100 -0.335 -0.195 0.060 -0.197 0.109 -0.003 -0.003 0.021 -0.032 -0.205 0.511 1.000 0.098 -0.024 0.517 0.011 0.038 |\n",
"| phi_s | 0.018 -0.015 -0.034 0.993 0.021 -0.499 -0.039 -0.541 0.284 0.010 -0.019 0.007 -0.010 -0.560 0.195 0.098 1.000 -0.060 0.168 -0.038 0.006 |\n",
"| p4040_p | 0.041 0.163 0.049 -0.059 -0.278 0.042 0.083 0.044 -0.034 0.079 0.237 -0.208 0.352 0.063 0.092 -0.024 -0.060 1.000 -0.046 0.156 -0.004 |\n",
"| Ctt | 0.050 -0.403 0.007 0.167 -0.591 -0.148 -0.176 -0.154 0.099 0.232 -0.234 0.310 0.176 -0.203 0.377 0.517 0.168 -0.046 1.000 0.041 -0.008 |\n",
"| p4415_p | 0.056 0.058 0.042 -0.037 -0.218 0.023 0.310 0.024 -0.021 -0.157 0.104 -0.185 -0.031 0.037 0.009 0.011 -0.038 0.156 0.041 1.000 0.002 |\n",
"| Dbar_s | -0.005 0.040 -0.022 0.006 0.018 -0.003 -0.001 -0.003 0.002 0.012 0.007 0.014 -0.000 -0.006 -0.056 0.038 0.006 -0.004 -0.008 0.002 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.03524416571678421}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.03192586753092641}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.23078604668528513}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 2.3034720157616433}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.38400607179445245}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 1.9476455591121122}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.08929096342456022}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 3.0827282684748614}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3083021366687284}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.18482338032297452}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.11321675656139174}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.16824203498940749}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.1610182945570724}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.5790348685907372}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.260347443531447}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.027273035239154808}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 6.2273177854787285}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.1391734951545407}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.16546627766698574}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.15748540864362015}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.021117800010118787})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 4/15\n",
"Time taken: 7 min, 10 s\n",
"Projected time left: 19 min, 37 s\n",
"Toy 4: Generating data...\n",
"Toy 4: Data generation finished\n",
"Toy 4: Loading data...\n",
"Toy 4: Loading data finished\n",
"Toy 4: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.979E+05 | Ncalls=982 (982 total) |\n",
"| EDM = 6.3E-05 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297861.7701022822\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | -0.30 | 0.07 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.19 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 0.919 | 0.021 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -5.58 | 0.21 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | 1.3 | 0.5 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 0.20 | 0.40 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | -2.00 | 0.12 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 6.9 | 1.3 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.3 | 0.3 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.38 | 0.18 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -6.283 | 0.016 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.90 | 0.18 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.07 | 0.17 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -6.28 | 0.09 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | 5.1 | 0.3 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | 1.568 | 0.026 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 17.7 | 1.1 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.72 | 0.20 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.33 | 0.19 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | 4.08 | 0.16 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | 0.30 | 0.05 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 -0.093 -0.002 -0.002 -0.093 -0.003 -0.125 0.000 0.002 0.004 -0.000 -0.012 -0.013 -0.002 0.119 -0.204 0.004 -0.071 -0.105 -0.106 -0.024 |\n",
"| psi2s_p | -0.093 1.000 0.009 -0.001 -0.160 -0.006 0.230 -0.002 -0.002 -0.201 -0.008 -0.252 -0.149 -0.003 -0.057 -0.047 0.003 0.068 -0.394 0.076 -0.107 |\n",
"| p3770_s | -0.002 0.009 1.000 -0.000 0.005 0.000 0.010 -0.000 -0.000 -0.005 -0.002 -0.008 -0.001 0.000 -0.009 0.004 -0.000 0.008 -0.005 0.006 -0.001 |\n",
"| phi_p | -0.002 -0.001 -0.000 1.000 -0.004 -0.059 -0.006 -0.068 0.017 0.003 0.000 0.004 0.000 -0.037 -0.015 -0.021 0.665 -0.006 0.016 -0.005 -0.001 |\n",
"| Dbar_p | -0.093 -0.160 0.005 -0.004 1.000 0.004 0.435 -0.007 0.008 -0.098 -0.006 -0.155 0.027 0.007 -0.866 0.484 -0.023 0.316 0.726 0.315 0.024 |\n",
"| omega_p | -0.003 -0.006 0.000 -0.059 0.004 1.000 0.004 0.790 -0.115 -0.004 -0.000 -0.005 -0.001 0.029 0.002 -0.011 0.004 0.004 -0.010 0.003 -0.002 |\n",
"| p4160_p | -0.125 0.230 0.010 -0.006 0.435 0.004 1.000 -0.007 0.006 -0.072 -0.005 -0.489 -0.146 0.007 -0.463 0.273 -0.024 0.100 0.019 0.378 0.010 |\n",
"| omega_s | 0.000 -0.002 -0.000 -0.068 -0.007 0.790 -0.007 1.000 -0.364 0.003 0.000 0.002 0.001 0.068 -0.005 -0.023 -0.000 -0.005 0.006 -0.005 -0.000 |\n",
"| rho_s | 0.002 -0.002 -0.000 0.017 0.008 -0.115 0.006 -0.364 1.000 -0.009 -0.000 -0.005 -0.008 -0.010 0.012 -0.009 -0.030 0.001 -0.009 0.002 0.002 |\n",
"| p4415_s | 0.004 -0.201 -0.005 0.003 -0.098 -0.004 -0.072 0.003 -0.009 1.000 0.001 0.090 0.325 -0.004 0.265 -0.160 0.010 0.086 0.149 -0.156 -0.028 |\n",
"| p3770_p | -0.000 -0.008 -0.002 0.000 -0.006 -0.000 -0.005 0.000 -0.000 0.001 1.000 0.000 -0.002 -0.000 0.004 -0.001 0.001 -0.007 0.002 -0.004 -0.001 |\n",
"| p4040_s | -0.012 -0.252 -0.008 0.004 -0.155 -0.005 -0.489 0.002 -0.005 0.090 0.000 1.000 -0.171 -0.006 0.245 -0.116 0.014 -0.280 0.192 -0.261 -0.040 |\n",
"| p4160_s | -0.013 -0.149 -0.001 0.000 0.027 -0.001 -0.146 0.001 -0.008 0.325 -0.002 -0.171 1.000 -0.001 0.174 -0.102 -0.000 0.360 0.152 -0.140 -0.007 |\n",
"| rho_p | -0.002 -0.003 0.000 -0.037 0.007 0.029 0.007 0.068 -0.010 -0.004 -0.000 -0.006 -0.001 1.000 0.007 0.007 -0.015 0.007 -0.013 0.005 -0.001 |\n",
"| DDstar_p | 0.119 -0.057 -0.009 -0.015 -0.866 0.002 -0.463 -0.005 0.012 0.265 0.004 0.245 0.174 0.007 1.000 -0.375 -0.022 -0.187 -0.583 -0.226 -0.125 |\n",
"| jpsi_p | -0.204 -0.047 0.004 -0.021 0.484 -0.011 0.273 -0.023 -0.009 -0.160 -0.001 -0.116 -0.102 0.007 -0.375 1.000 -0.051 0.101 0.157 0.155 -0.072 |\n",
"| phi_s | 0.004 0.003 -0.000 0.665 -0.023 0.004 -0.024 -0.000 -0.030 0.010 0.001 0.014 -0.000 -0.015 -0.022 -0.051 1.000 -0.023 0.038 -0.018 0.003 |\n",
"| p4040_p | -0.071 0.068 0.008 -0.006 0.316 0.004 0.100 -0.005 0.001 0.086 -0.007 -0.280 0.360 0.007 -0.187 0.101 -0.023 1.000 0.085 0.151 0.006 |\n",
"| Ctt | -0.105 -0.394 -0.005 0.016 0.726 -0.010 0.019 0.006 -0.009 0.149 0.002 0.192 0.152 -0.013 -0.583 0.157 0.038 0.085 1.000 0.099 0.012 |\n",
"| p4415_p | -0.106 0.076 0.006 -0.005 0.315 0.003 0.378 -0.005 0.002 -0.156 -0.004 -0.261 -0.140 0.005 -0.226 0.155 -0.018 0.151 0.099 1.000 0.004 |\n",
"| Dbar_s | -0.024 -0.107 -0.001 -0.001 0.024 -0.002 0.010 -0.000 0.002 -0.028 -0.001 -0.040 -0.007 -0.001 -0.125 -0.072 0.003 0.006 0.012 0.004 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.07250574713180283}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.03279041312803477}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.020719833031209278}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.21175256962140443}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.5390515014418154}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.40002243029553286}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.1151446388573687}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 1.3429633705852222}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3253633071849332}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.18278371576538566}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.01612767486210931}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.17727931046353868}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.16648879605894396}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.09259387220435267}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.32315355867066486}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.026430330865767182}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 1.0669074106060332}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.20395627218059165}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.1888635165891296}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.15778078698680265}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.0485814882950763})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 5/15\n",
"Time taken: 8 min, 54 s\n",
"Projected time left: 17 min, 40 s\n",
"Toy 5: Generating data...\n",
"Toy 5: Data generation finished\n",
"Toy 5: Loading data...\n",
"Toy 5: Loading data finished\n",
"Toy 5: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.978E+05 | Ncalls=1105 (1105 total) |\n",
"| EDM = 0.000113 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297792.7390274959\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | 0.30 | 0.04 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.10 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 0.919 | 0.016 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -0.07 | 0.43 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | -5.1 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 6.14 | 0.25 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | 4.26 | 0.14 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 6.0 | 1.0 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.06 | 0.30 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 0.126 | 0.019 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -6.283 | 0.015 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.92 | 0.17 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 1.46 | 0.16 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | 5.8 | 0.3 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -0.19 | 0.40 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -1.68 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 15.9 | 1.6 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -3.06 | 0.20 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.43 | 0.16 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -6.28 | 0.10 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.30 | 0.06 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.039 -0.000 0.001 0.184 0.001 -0.030 0.001 -0.001 -0.001 0.001 0.032 0.007 0.004 0.020 -0.017 0.000 -0.012 -0.094 -0.000 0.009 |\n",
"| psi2s_p | 0.039 1.000 0.008 -0.008 0.100 -0.003 0.298 -0.006 0.005 0.010 -0.008 -0.209 -0.077 -0.016 0.268 0.134 -0.007 0.076 -0.280 0.001 0.097 |\n",
"| p3770_s | -0.000 0.008 1.000 0.000 -0.000 0.000 0.006 0.000 -0.000 0.000 -0.002 -0.005 0.001 0.000 0.005 0.002 -0.000 0.005 -0.005 -0.000 0.001 |\n",
"| phi_p | 0.001 -0.008 0.000 1.000 -0.040 0.062 0.013 0.025 0.025 0.000 -0.000 -0.010 0.002 0.202 0.005 -0.034 0.884 0.011 -0.003 -0.000 -0.001 |\n",
"| Dbar_p | 0.184 0.100 -0.000 -0.040 1.000 -0.024 -0.241 -0.033 0.002 -0.014 0.005 -0.047 -0.365 -0.171 -0.594 -0.370 -0.011 -0.521 -0.699 0.015 -0.077 |\n",
"| omega_p | 0.001 -0.003 0.000 0.062 -0.024 1.000 0.009 0.435 -0.082 0.000 -0.000 -0.006 0.003 -0.008 0.002 -0.015 0.069 0.009 -0.003 -0.000 -0.001 |\n",
"| p4160_p | -0.030 0.298 0.006 0.013 -0.241 0.009 1.000 0.011 -0.003 0.014 -0.002 -0.237 -0.049 0.057 0.384 0.193 0.002 -0.052 -0.056 -0.010 -0.005 |\n",
"| omega_s | 0.001 -0.006 0.000 0.025 -0.033 0.435 0.011 1.000 -0.436 0.000 -0.000 -0.011 0.004 0.244 -0.003 -0.031 0.053 0.011 -0.011 -0.000 -0.001 |\n",
"| rho_s | -0.001 0.005 -0.000 0.025 0.002 -0.082 -0.003 -0.436 1.000 -0.000 0.000 0.007 -0.006 0.130 0.006 0.037 0.011 -0.007 0.020 0.000 -0.001 |\n",
"| p4415_s | -0.001 0.010 0.000 0.000 -0.014 0.000 0.014 0.000 -0.000 1.000 -0.000 -0.004 -0.006 0.002 0.017 0.010 0.000 0.005 0.004 -0.011 -0.001 |\n",
"| p3770_p | 0.001 -0.008 -0.002 -0.000 0.005 -0.000 -0.002 -0.000 0.000 -0.000 1.000 -0.000 -0.004 -0.002 -0.000 0.002 -0.000 -0.006 0.003 0.000 0.001 |\n",
"| p4040_s | 0.032 -0.209 -0.005 -0.010 -0.047 -0.006 -0.237 -0.011 0.007 -0.004 -0.000 1.000 -0.355 -0.046 0.040 0.112 -0.003 -0.194 0.316 0.004 0.029 |\n",
"| p4160_s | 0.007 -0.077 0.001 0.002 -0.365 0.003 -0.049 0.004 -0.006 -0.006 -0.004 -0.355 1.000 0.017 0.091 0.092 -0.003 0.366 0.307 -0.006 -0.016 |\n",
"| rho_p | 0.004 -0.016 0.000 0.202 -0.171 -0.008 0.057 0.244 0.130 0.002 -0.002 -0.046 0.017 1.000 -0.008 -0.081 0.229 0.058 -0.030 -0.001 -0.009 |\n",
"| DDstar_p | 0.020 0.268 0.005 0.005 -0.594 0.002 0.384 -0.003 0.006 0.017 -0.000 0.040 0.091 -0.008 1.000 0.712 0.004 0.331 0.541 -0.008 -0.097 |\n",
"| jpsi_p | -0.017 0.134 0.002 -0.034 -0.370 -0.015 0.193 -0.031 0.037 0.010 0.002 0.112 0.092 -0.081 0.712 1.000 -0.021 0.207 0.565 -0.007 0.075 |\n",
"| phi_s | 0.000 -0.007 -0.000 0.884 -0.011 0.069 0.002 0.053 0.011 0.000 -0.000 -0.003 -0.003 0.229 0.004 -0.021 1.000 -0.001 0.002 0.000 0.000 |\n",
"| p4040_p | -0.012 0.076 0.005 0.011 -0.521 0.009 -0.052 0.011 -0.007 0.005 -0.006 -0.194 0.366 0.058 0.331 0.207 -0.001 1.000 0.311 -0.008 -0.003 |\n",
"| Ctt | -0.094 -0.280 -0.005 -0.003 -0.699 -0.003 -0.056 -0.011 0.020 0.004 0.003 0.316 0.307 -0.030 0.541 0.565 0.002 0.311 1.000 -0.012 0.019 |\n",
"| p4415_p | -0.000 0.001 -0.000 -0.000 0.015 -0.000 -0.010 -0.000 0.000 -0.011 0.000 0.004 -0.006 -0.001 -0.008 -0.007 0.000 -0.008 -0.012 1.000 -0.000 |\n",
"| Dbar_s | 0.009 0.097 0.001 -0.001 -0.077 -0.001 -0.005 -0.001 -0.001 -0.001 0.001 0.029 -0.016 -0.009 -0.097 0.075 0.000 -0.003 0.019 -0.000 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.03611647284244096}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.03361463855214586}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.016189965772745674}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.43060182206921915}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.37411696369559655}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.25300874115736693}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.1375721295162542}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 1.0455409341279083}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3044715720220663}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.019118551309253037}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.014952751370907347}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.1711715112588067}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.16401303752038732}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.3275399678824087}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.4048736766079224}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.031929473072436654}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 1.6281233502938468}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.19778506090355275}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.16399723635012453}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.10329236710642187}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.05637441538376442})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 6/15\n",
"Time taken: 10 min, 50 s\n",
"Projected time left: 16 min, 12 s\n",
"Toy 6: Generating data...\n",
"Toy 6: Data generation finished\n",
"Toy 6: Loading data...\n",
"Toy 6: Loading data finished\n",
"Toy 6: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.978E+05 | Ncalls=1624 (1624 total) |\n",
"| EDM = 9.17E-06 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297821.96716519614\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | 0.11 | 0.44 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.21 | 0.04 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 2.14 | 0.24 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | 6.28 | 0.27 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | 2.7 | 1.9 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 6.28 | 0.05 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | -1.98 | 0.23 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 6.3 | 0.8 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.07 | 0.30 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.4 | 0.4 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -1.89 | 0.15 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.88 | 0.31 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.16 | 0.25 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -0.3 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | 6 | 12 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | 1.49 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 17.8 | 0.8 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.79 | 0.20 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.22 | 0.17 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -2.26 | 0.17 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | 0.23 | 0.14 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.305 0.350 0.044 0.969 0.001 0.896 -0.044 -0.094 -0.904 0.607 -0.866 -0.809 -0.612 -0.973 -0.426 0.227 0.215 0.222 0.529 0.679 |\n",
"| psi2s_p | 0.305 1.000 0.180 0.013 0.187 0.000 0.421 -0.015 -0.033 -0.319 0.421 -0.314 -0.287 -0.194 -0.322 0.154 0.068 0.220 0.053 0.306 0.427 |\n",
"| p3770_s | 0.350 0.180 1.000 0.015 0.393 0.000 0.309 -0.012 -0.038 -0.309 0.083 -0.266 -0.225 -0.191 -0.343 -0.307 0.069 0.181 -0.169 0.214 0.168 |\n",
"| phi_p | 0.044 0.013 0.015 1.000 0.044 0.001 0.038 0.013 -0.016 -0.038 0.025 -0.037 -0.034 -0.053 -0.043 -0.016 -0.386 0.007 0.014 0.022 0.023 |\n",
"| Dbar_p | 0.969 0.187 0.393 0.044 1.000 0.001 0.859 -0.044 -0.090 -0.882 0.538 -0.850 -0.774 -0.598 -0.973 -0.517 0.222 0.208 0.137 0.514 0.544 |\n",
"| omega_p | 0.001 0.000 0.000 0.001 0.001 1.000 0.001 -0.054 0.010 -0.001 0.000 -0.001 -0.001 0.007 -0.001 -0.000 -0.002 0.000 0.000 0.000 0.000 |\n",
"| p4160_p | 0.896 0.421 0.309 0.038 0.859 0.001 1.000 -0.038 -0.082 -0.814 0.638 -0.856 -0.749 -0.531 -0.906 -0.268 0.196 0.217 0.125 0.611 0.688 |\n",
"| omega_s | -0.044 -0.015 -0.012 0.013 -0.044 -0.054 -0.038 1.000 -0.390 0.039 -0.026 0.037 0.036 0.207 0.044 0.016 0.024 -0.007 -0.017 -0.022 -0.026 |\n",
"| rho_s | -0.094 -0.033 -0.038 -0.016 -0.090 0.010 -0.082 -0.390 1.000 0.080 -0.055 0.077 0.069 0.210 0.092 0.028 -0.022 -0.024 -0.027 -0.051 -0.057 |\n",
"| p4415_s | -0.904 -0.319 -0.309 -0.038 -0.882 -0.001 -0.814 0.039 0.080 1.000 -0.571 0.790 0.796 0.539 0.898 0.351 -0.201 -0.160 -0.088 -0.532 -0.574 |\n",
"| p3770_p | 0.607 0.421 0.083 0.025 0.538 0.000 0.638 -0.026 -0.055 -0.571 1.000 -0.571 -0.491 -0.360 -0.609 -0.091 0.133 0.284 0.088 0.426 0.531 |\n",
"| p4040_s | -0.866 -0.314 -0.266 -0.037 -0.850 -0.001 -0.856 0.037 0.077 0.790 -0.571 1.000 0.623 0.516 0.858 0.371 -0.193 -0.294 -0.023 -0.550 -0.539 |\n",
"| p4160_s | -0.809 -0.287 -0.225 -0.034 -0.774 -0.001 -0.749 0.036 0.069 0.796 -0.491 0.623 1.000 0.485 0.799 0.278 -0.182 0.017 -0.125 -0.495 -0.511 |\n",
"| rho_p | -0.612 -0.194 -0.191 -0.053 -0.598 0.007 -0.531 0.207 0.210 0.539 -0.360 0.516 0.485 1.000 0.606 0.278 -0.060 -0.105 -0.212 -0.311 -0.360 |\n",
"| DDstar_p | -0.973 -0.322 -0.343 -0.043 -0.973 -0.001 -0.906 0.044 0.092 0.898 -0.609 0.858 0.799 0.606 1.000 0.386 -0.224 -0.231 -0.225 -0.555 -0.658 |\n",
"| jpsi_p | -0.426 0.154 -0.307 -0.016 -0.517 -0.000 -0.268 0.016 0.028 0.351 -0.091 0.371 0.278 0.278 0.386 1.000 -0.123 -0.049 0.129 -0.124 0.151 |\n",
"| phi_s | 0.227 0.068 0.069 -0.386 0.222 -0.002 0.196 0.024 -0.022 -0.201 0.133 -0.193 -0.182 -0.060 -0.224 -0.123 1.000 0.035 0.079 0.113 0.133 |\n",
"| p4040_p | 0.215 0.220 0.181 0.007 0.208 0.000 0.217 -0.007 -0.024 -0.160 0.284 -0.294 0.017 -0.105 -0.231 -0.049 0.035 1.000 -0.064 0.218 0.284 |\n",
"| Ctt | 0.222 0.053 -0.169 0.014 0.137 0.000 0.125 -0.017 -0.027 -0.088 0.088 -0.023 -0.125 -0.212 -0.225 0.129 0.079 -0.064 1.000 0.082 0.578 |\n",
"| p4415_p | 0.529 0.306 0.214 0.022 0.514 0.000 0.611 -0.022 -0.051 -0.532 0.426 -0.550 -0.495 -0.311 -0.555 -0.124 0.113 0.218 0.082 1.000 0.486 |\n",
"| Dbar_s | 0.679 0.427 0.168 0.023 0.544 0.000 0.688 -0.026 -0.057 -0.574 0.531 -0.539 -0.511 -0.360 -0.658 0.151 0.133 0.284 0.578 0.486 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.44432734035601773}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.036878739372118385}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.24163170716043492}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.26685061243518327}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 1.8938003749931651}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.054040277888346644}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.22973618802672702}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 0.829485303113572}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.2989728525092007}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.38666282968402443}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.15417732883821156}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.31470454090350336}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.25436916099940765}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.3612520088186706}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 12.198321041217582}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.0341789794736318}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 0.8446426355961574}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.20400260325872943}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.1702500087999711}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.17438998662216543}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.14016386934785113})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 7/15\n",
"Time taken: 13 min, 21 s\n",
"Projected time left: 15 min, 12 s\n",
"Toy 7: Generating data...\n",
"Toy 7: Data generation finished\n",
"Toy 7: Loading data...\n",
"Toy 7: Loading data finished\n",
"Toy 7: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.978E+05 | Ncalls=639 (639 total) |\n",
"| EDM = 0.000874 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297772.108219668\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | -0.300 | 0.021 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.06 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 2.59 | 0.22 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | 6.3 | 0.6 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | -5.21 | 0.29 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 0.8 | 0.5 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | -2.13 | 0.10 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 8.4 | 1.6 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.2 | 0.3 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.34 | 0.18 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | 4.19 | 0.10 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 1.33 | 0.17 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.14 | 0.17 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -6.28 | 0.28 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -4.80 | 0.21 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | 4.483 | 0.025 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 17.0 | 0.9 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.48 | 0.14 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.31 | 0.16 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -2.26 | 0.16 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.300 | 0.012 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.028 -0.013 -0.000 -0.013 0.001 0.031 0.002 -0.001 -0.001 0.015 0.004 -0.002 -0.003 0.003 0.066 0.002 0.014 0.024 0.021 -0.002 |\n",
"| psi2s_p | 0.028 1.000 0.259 0.002 0.088 -0.006 0.280 -0.007 -0.003 -0.180 0.290 -0.217 -0.104 0.000 0.202 -0.097 -0.005 0.225 -0.450 0.125 0.026 |\n",
"| p3770_s | -0.013 0.259 1.000 -0.001 -0.084 -0.001 -0.030 -0.003 -0.005 0.066 -0.186 0.182 0.088 0.012 -0.099 -0.063 -0.013 0.013 -0.044 0.015 -0.015 |\n",
"| phi_p | -0.000 0.002 -0.001 1.000 0.001 -0.007 0.000 0.007 -0.007 0.001 0.000 0.001 0.001 -0.019 0.001 0.011 -0.457 0.000 0.003 0.000 -0.000 |\n",
"| Dbar_p | -0.013 0.088 -0.084 0.001 1.000 -0.001 -0.171 0.002 -0.006 -0.024 -0.061 -0.035 -0.058 -0.005 -0.593 -0.244 0.005 -0.171 -0.496 -0.127 0.006 |\n",
"| omega_p | 0.001 -0.006 -0.001 -0.007 -0.001 1.000 -0.004 0.860 0.456 -0.002 -0.003 -0.003 -0.003 -0.018 0.010 -0.018 0.060 -0.005 0.006 -0.004 0.001 |\n",
"| p4160_p | 0.031 0.280 -0.030 0.000 -0.171 -0.004 1.000 -0.009 0.004 0.013 0.253 -0.497 -0.150 0.015 0.225 -0.060 -0.016 0.158 -0.322 0.289 0.001 |\n",
"| omega_s | 0.002 -0.007 -0.003 0.007 0.002 0.860 -0.009 1.000 0.183 -0.001 -0.005 -0.002 -0.003 0.027 0.030 -0.004 0.059 -0.010 0.022 -0.008 0.001 |\n",
"| rho_s | -0.001 -0.003 -0.005 -0.007 -0.006 0.456 0.004 0.183 1.000 -0.007 0.000 -0.004 -0.008 0.112 -0.028 -0.015 0.036 0.000 -0.017 0.002 -0.000 |\n",
"| p4415_s | -0.001 -0.180 0.066 0.001 -0.024 -0.002 0.013 -0.001 -0.007 1.000 -0.124 0.144 0.324 -0.003 -0.314 0.025 -0.000 0.082 0.290 -0.106 0.006 |\n",
"| p3770_p | 0.015 0.290 -0.186 0.000 -0.061 -0.003 0.253 -0.005 0.000 -0.124 1.000 -0.152 -0.042 0.006 0.220 -0.052 -0.007 0.249 -0.312 0.126 0.007 |\n",
"| p4040_s | 0.004 -0.217 0.182 0.001 -0.035 -0.003 -0.497 -0.002 -0.004 0.144 -0.152 1.000 0.015 -0.001 -0.284 0.033 -0.002 -0.213 0.355 -0.195 0.007 |\n",
"| p4160_s | -0.002 -0.104 0.088 0.001 -0.058 -0.003 -0.150 -0.003 -0.008 0.324 -0.042 0.015 1.000 0.002 -0.306 -0.005 -0.006 0.356 0.213 -0.154 0.001 |\n",
"| rho_p | -0.003 0.000 0.012 -0.019 -0.005 -0.018 0.015 0.027 0.112 -0.003 0.006 -0.001 0.002 1.000 -0.060 -0.068 0.053 0.017 -0.058 0.012 -0.001 |\n",
"| DDstar_p | 0.003 0.202 -0.099 0.001 -0.593 0.010 0.225 0.030 -0.028 -0.314 0.220 -0.284 -0.306 -0.060 1.000 0.364 0.056 0.041 0.137 -0.017 -0.034 |\n",
"| jpsi_p | 0.066 -0.097 -0.063 0.011 -0.244 -0.018 -0.060 -0.004 -0.015 0.025 -0.052 0.033 -0.005 -0.068 0.364 1.000 0.046 -0.083 0.467 -0.033 0.031 |\n",
"| phi_s | 0.002 -0.005 -0.013 -0.457 0.005 0.060 -0.016 0.059 0.036 -0.000 -0.007 -0.002 -0.006 0.053 0.056 0.046 1.000 -0.020 0.053 -0.014 0.001 |\n",
"| p4040_p | 0.014 0.225 0.013 0.000 -0.171 -0.005 0.158 -0.010 0.000 0.082 0.249 -0.213 0.356 0.017 0.041 -0.083 -0.020 1.000 -0.212 0.140 -0.002 |\n",
"| Ctt | 0.024 -0.450 -0.044 0.003 -0.496 0.006 -0.322 0.022 -0.017 0.290 -0.312 0.355 0.213 -0.058 0.137 0.467 0.053 -0.212 1.000 -0.113 0.000 |\n",
"| p4415_p | 0.021 0.125 0.015 0.000 -0.127 -0.004 0.289 -0.008 0.002 -0.106 0.126 -0.195 -0.154 0.012 -0.017 -0.033 -0.014 0.140 -0.113 1.000 0.001 |\n",
"| Dbar_s | -0.002 0.026 -0.015 -0.000 0.006 0.001 0.001 0.001 -0.000 0.006 0.007 0.007 0.001 -0.001 -0.034 0.031 0.001 -0.002 0.000 0.001 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.02099265254406224}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.031985686677148184}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.22422202104896494}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.629860846787544}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.2897974450867711}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.4533501907734814}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.0995713895967607}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 1.617330652551181}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.344499363289316}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.18359678355700648}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.10372422017612504}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.16911810203173783}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.16635223490472117}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.27793624202621325}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.21326674855152516}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.02491082064701633}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 0.8710227308396323}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.13813721431423853}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.15508536610717105}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.156953300068557}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.012042467227299236})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 8/15\n",
"Time taken: 15 min, 6 s\n",
"Projected time left: 13 min, 11 s\n",
"Toy 8: Generating data...\n",
"Toy 8: Data generation finished\n",
"Toy 8: Loading data...\n",
"Toy 8: Loading data finished\n",
"Toy 8: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.976E+05 | Ncalls=1062 (1062 total) |\n",
"| EDM = 6.61E-05 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297565.8770833331\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | 0.300 | 0.020 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.05 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 1.97 | 0.23 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | 6.3 | 0.7 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | -1.87 | 0.28 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | -5.57 | 0.31 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | 4.19 | 0.10 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 9 | 4 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 0.7 | 0.4 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.24 | 0.18 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -2.19 | 0.13 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 1.29 | 0.17 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.15 | 0.16 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -6.28 | 0.14 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -1.04 | 0.22 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -1.729 | 0.026 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 17.1 | 1.1 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.92 | 0.14 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.44 | 0.15 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -2.54 | 0.16 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | 0.300 | 0.014 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.019 -0.007 -0.000 0.004 0.000 0.022 -0.000 0.000 0.008 0.003 0.012 0.007 -0.000 0.047 0.048 0.000 0.017 0.018 0.021 -0.001 |\n",
"| psi2s_p | 0.019 1.000 0.209 0.004 0.140 -0.004 0.277 0.003 -0.004 -0.187 0.298 -0.228 -0.103 -0.000 0.182 -0.032 -0.003 0.132 -0.446 0.076 0.024 |\n",
"| p3770_s | -0.007 0.209 1.000 -0.001 -0.127 0.005 -0.046 0.001 0.001 0.067 -0.151 0.153 0.088 0.004 -0.081 -0.084 -0.012 0.071 -0.017 0.024 -0.013 |\n",
"| phi_p | -0.000 0.004 -0.001 1.000 0.002 -0.051 0.000 0.000 -0.032 0.002 0.000 0.002 0.002 -0.006 0.002 0.020 -0.716 0.002 0.005 0.001 -0.000 |\n",
"| Dbar_p | 0.004 0.140 -0.127 0.002 1.000 -0.014 -0.203 0.000 -0.020 -0.041 -0.031 -0.017 -0.118 -0.003 -0.622 -0.228 0.010 -0.245 -0.540 -0.194 0.003 |\n",
"| omega_p | 0.000 -0.004 0.005 -0.051 -0.014 1.000 0.006 -0.641 0.634 -0.009 0.003 -0.008 -0.006 -0.070 -0.031 -0.043 0.059 0.004 -0.033 0.001 -0.000 |\n",
"| p4160_p | 0.022 0.277 -0.046 0.000 -0.203 0.006 1.000 0.001 0.006 -0.060 0.232 -0.423 -0.152 0.002 0.313 0.024 -0.009 -0.037 -0.264 0.296 0.002 |\n",
"| omega_s | -0.000 0.003 0.001 0.000 0.000 -0.641 0.001 1.000 -0.194 0.001 0.001 0.001 0.002 0.013 -0.003 0.008 -0.025 0.003 -0.002 0.002 -0.000 |\n",
"| rho_s | 0.000 -0.004 0.001 -0.032 -0.020 0.634 0.006 -0.194 1.000 -0.013 0.002 -0.010 -0.012 -0.060 -0.041 -0.031 0.038 0.001 -0.035 -0.001 -0.001 |\n",
"| p4415_s | 0.008 -0.187 0.067 0.002 -0.041 -0.009 -0.060 0.001 -0.013 1.000 -0.104 0.065 0.330 -0.001 -0.215 -0.011 0.002 0.111 0.268 -0.131 0.006 |\n",
"| p3770_p | 0.003 0.298 -0.151 0.000 -0.031 0.003 0.232 0.001 0.002 -0.104 1.000 -0.162 0.001 0.002 0.166 -0.025 -0.006 0.213 -0.294 0.107 0.004 |\n",
"| p4040_s | 0.012 -0.228 0.153 0.002 -0.017 -0.008 -0.423 0.001 -0.010 0.065 -0.162 1.000 -0.220 -0.002 -0.140 0.039 0.006 -0.232 0.337 -0.211 0.009 |\n",
"| p4160_s | 0.007 -0.103 0.088 0.002 -0.118 -0.006 -0.152 0.002 -0.012 0.330 0.001 -0.220 1.000 0.001 -0.220 -0.050 -0.004 0.342 0.190 -0.098 -0.001 |\n",
"| rho_p | -0.000 -0.000 0.004 -0.006 -0.003 -0.070 0.002 0.013 -0.060 -0.001 0.002 -0.002 0.001 1.000 -0.011 -0.017 0.012 0.004 -0.013 0.002 -0.000 |\n",
"| DDstar_p | 0.047 0.182 -0.081 0.002 -0.622 -0.031 0.313 -0.003 -0.041 -0.215 0.166 -0.140 -0.220 -0.011 1.000 0.482 0.035 0.034 0.266 0.025 -0.029 |\n",
"| jpsi_p | 0.048 -0.032 -0.084 0.020 -0.228 -0.043 0.024 0.008 -0.031 -0.011 -0.025 0.039 -0.050 -0.017 0.482 1.000 0.030 -0.059 0.441 -0.007 0.030 |\n",
"| phi_s | 0.000 -0.003 -0.012 -0.716 0.010 0.059 -0.009 -0.025 0.038 0.002 -0.006 0.006 -0.004 0.012 0.035 0.030 1.000 -0.014 0.039 -0.007 0.001 |\n",
"| p4040_p | 0.017 0.132 0.071 0.002 -0.245 0.004 -0.037 0.003 0.001 0.111 0.213 -0.232 0.342 0.004 0.034 -0.059 -0.014 1.000 -0.057 0.084 0.001 |\n",
"| Ctt | 0.018 -0.446 -0.017 0.005 -0.540 -0.033 -0.264 -0.002 -0.035 0.268 -0.294 0.337 0.190 -0.013 0.266 0.441 0.039 -0.057 1.000 -0.020 0.004 |\n",
"| p4415_p | 0.021 0.076 0.024 0.001 -0.194 0.001 0.296 0.002 -0.001 -0.131 0.107 -0.211 -0.098 0.002 0.025 -0.007 -0.007 0.084 -0.020 1.000 0.001 |\n",
"| Dbar_s | -0.001 0.024 -0.013 -0.000 0.003 -0.000 0.002 -0.000 -0.001 0.006 0.004 0.009 -0.001 -0.000 -0.029 0.030 0.001 0.001 0.004 0.001 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.0196453830464568}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.03230487708659302}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.23404874264246}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.7067191467603697}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.28341234260322423}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.3088682394090321}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.09801873202794731}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 3.910501005534545}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3960136927170923}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.180877756504227}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.13009166875793632}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.16996293376167626}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.16444745642292513}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.14323434555829495}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.2246140163504724}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.02588339558115038}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 1.1110094800179695}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.13729111230658964}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.15034744218220908}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.1643743026523572}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.01437065786054098})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 9/15\n",
"Time taken: 17 min, 18 s\n",
"Projected time left: 11 min, 30 s\n",
"Toy 9: Generating data...\n",
"Toy 9: Data generation finished\n",
"Toy 9: Loading data...\n",
"Toy 9: Loading data finished\n",
"Toy 9: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.977E+05 | Ncalls=1118 (1118 total) |\n",
"| EDM = 0.00108 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| False | True | True | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | False | False | True |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297715.0895674021\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | -0.30 | 0.58 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.21 | 0.04 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 2.66 | 0.22 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -6.02 | 0.28 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | -3.4 | 1.4 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 0.62 | 0.31 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | 4.09 | 0.24 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 6.9 | 1.5 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.24 | 0.26 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.14 | 0.25 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -2.44 | 0.12 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.96 | 0.18 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.24 | 0.19 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -0.84 | 0.31 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -5.21 | 0.31 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -4.84 | 0.05 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 17.8 | 1.2 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | 3.19 | 0.19 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | -0.19 | 0.25 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -2.86 | 0.19 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.30 | 0.47 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.700 -0.182 0.051 -0.977 -0.042 0.936 -0.047 0.275 -0.743 0.640 -0.562 -0.652 -0.494 0.717 0.817 0.158 0.479 0.803 0.473 0.946 |\n",
"| psi2s_p | 0.700 1.000 -0.055 0.036 -0.613 -0.032 0.709 -0.036 0.202 -0.545 0.591 -0.425 -0.476 -0.364 0.492 0.643 0.113 0.401 0.529 0.370 0.647 |\n",
"| p3770_s | -0.182 -0.055 1.000 -0.009 0.148 0.011 -0.176 0.013 -0.069 0.139 -0.235 0.171 0.166 0.110 -0.105 -0.206 -0.035 -0.032 -0.225 -0.063 -0.138 |\n",
"| phi_p | 0.051 0.036 -0.009 1.000 -0.047 -0.001 0.048 -0.053 0.068 -0.037 0.033 -0.028 -0.033 -0.034 0.036 0.034 0.805 0.024 0.043 0.024 0.048 |\n",
"| Dbar_p | -0.977 -0.613 0.148 -0.047 1.000 0.042 -0.897 0.048 -0.270 0.732 -0.586 0.563 0.634 0.488 -0.708 -0.728 -0.153 -0.446 -0.742 -0.443 -0.900 |\n",
"| omega_p | -0.042 -0.032 0.011 -0.001 0.042 1.000 -0.037 0.777 0.130 0.030 -0.026 0.023 0.027 0.040 -0.037 -0.035 0.016 -0.016 -0.039 -0.017 -0.037 |\n",
"| p4160_p | 0.936 0.709 -0.176 0.048 -0.897 -0.037 1.000 -0.043 0.251 -0.706 0.654 -0.619 -0.629 -0.450 0.703 0.791 0.145 0.435 0.704 0.517 0.904 |\n",
"| omega_s | -0.047 -0.036 0.013 -0.053 0.048 0.777 -0.043 1.000 -0.182 0.034 -0.030 0.026 0.032 0.014 -0.041 -0.042 -0.015 -0.019 -0.045 -0.020 -0.043 |\n",
"| rho_s | 0.275 0.202 -0.069 0.068 -0.270 0.130 0.251 -0.182 1.000 -0.201 0.173 -0.153 -0.185 -0.074 0.222 0.208 0.052 0.113 0.250 0.118 0.253 |\n",
"| p4415_s | -0.743 -0.545 0.139 -0.037 0.732 0.030 -0.706 0.034 -0.201 1.000 -0.513 0.477 0.628 0.357 -0.635 -0.596 -0.116 -0.303 -0.501 -0.431 -0.708 |\n",
"| p3770_p | 0.640 0.591 -0.235 0.033 -0.586 -0.026 0.654 -0.030 0.173 -0.513 1.000 -0.412 -0.409 -0.311 0.522 0.557 0.099 0.427 0.442 0.353 0.627 |\n",
"| p4040_s | -0.562 -0.425 0.171 -0.028 0.563 0.023 -0.619 0.026 -0.153 0.477 -0.412 1.000 0.233 0.272 -0.543 -0.414 -0.088 -0.371 -0.305 -0.355 -0.537 |\n",
"| p4160_s | -0.652 -0.476 0.166 -0.033 0.634 0.027 -0.629 0.032 -0.185 0.628 -0.409 0.233 1.000 0.322 -0.577 -0.542 -0.105 -0.122 -0.471 -0.317 -0.603 |\n",
"| rho_p | -0.494 -0.364 0.110 -0.034 0.488 0.040 -0.450 0.014 -0.074 0.357 -0.311 0.272 0.322 1.000 -0.413 -0.384 -0.054 -0.210 -0.446 -0.217 -0.452 |\n",
"| DDstar_p | 0.717 0.492 -0.105 0.036 -0.708 -0.037 0.703 -0.041 0.222 -0.635 0.522 -0.543 -0.577 -0.413 1.000 0.508 0.125 0.313 0.624 0.250 0.813 |\n",
"| jpsi_p | 0.817 0.643 -0.206 0.034 -0.728 -0.035 0.791 -0.042 0.208 -0.596 0.557 -0.414 -0.542 -0.384 0.508 1.000 0.111 0.413 0.700 0.419 0.820 |\n",
"| phi_s | 0.158 0.113 -0.035 0.805 -0.153 0.016 0.145 -0.015 0.052 -0.116 0.099 -0.088 -0.105 -0.054 0.125 0.111 1.000 0.067 0.140 0.069 0.146 |\n",
"| p4040_p | 0.479 0.401 -0.032 0.024 -0.446 -0.016 0.435 -0.019 0.113 -0.303 0.427 -0.371 -0.122 -0.210 0.313 0.413 0.067 1.000 0.342 0.303 0.501 |\n",
"| Ctt | 0.803 0.529 -0.225 0.043 -0.742 -0.039 0.704 -0.045 0.250 -0.501 0.442 -0.305 -0.471 -0.446 0.624 0.700 0.140 0.342 1.000 0.385 0.855 |\n",
"| p4415_p | 0.473 0.370 -0.063 0.024 -0.443 -0.017 0.517 -0.020 0.118 -0.431 0.353 -0.355 -0.317 -0.217 0.250 0.419 0.069 0.303 0.385 1.000 0.476 |\n",
"| Dbar_s | 0.946 0.647 -0.138 0.048 -0.900 -0.037 0.904 -0.043 0.253 -0.708 0.627 -0.537 -0.603 -0.452 0.813 0.820 0.146 0.501 0.855 0.476 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.5821715334008924}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.04131640537273462}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.21984161750024045}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.28365082285628107}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 1.3684345206099042}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.31132304587782933}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.23649579119102704}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 1.46496914321241}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.26326614530101033}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.2529375597528801}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.11866854842053187}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.17949338688015137}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.1854967201844855}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.310067244364181}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.3064972492246345}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.04636879091167945}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 1.238688047530701}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.18812051585423983}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.24667793938365867}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.1850483940597778}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.4686880034091037})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 10/15\n",
"Time taken: 19 min, 40 s\n",
"Projected time left: 9 min, 50 s\n",
"Toy 10: Generating data...\n",
"Toy 10: Data generation finished\n",
"Toy 10: Loading data...\n",
"Toy 10: Loading data finished\n",
"Toy 10: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.979E+05 | Ncalls=1418 (1418 total) |\n",
"| EDM = 4.91E-05 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297904.0635656783\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | -0.300 | 0.015 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.01 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 0.919 | 0.022 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -6.28 | 0.28 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | 4.93 | 0.20 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 6.28 | 0.27 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | -6.283 | 0.009 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 5.8 | 0.9 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.0 | 0.3 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 0.52 | 0.17 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -6.283 | 0.018 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 1.32 | 0.16 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 0.717 | 0.017 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | 6.21 | 0.28 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | 3.3 | 0.3 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -1.663 | 0.028 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 16.8 | 0.9 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | 2.99 | 0.12 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | -0.05 | 0.12 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -1.7 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | 0.30 | 0.06 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.018 -0.000 0.000 0.112 -0.000 -0.000 -0.000 0.002 0.021 0.000 0.018 -0.001 0.004 -0.006 -0.009 -0.002 0.003 -0.040 -0.007 0.003 |\n",
"| psi2s_p | 0.018 1.000 0.010 -0.002 0.420 0.001 0.001 -0.000 -0.006 -0.152 -0.007 -0.187 0.013 -0.016 0.239 0.177 0.003 0.071 -0.409 0.080 0.083 |\n",
"| p3770_s | -0.000 0.010 1.000 -0.000 0.006 -0.000 -0.000 -0.000 -0.000 -0.002 -0.002 -0.007 0.000 0.000 0.002 0.000 -0.000 0.006 -0.012 0.003 0.001 |\n",
"| phi_p | 0.000 -0.002 -0.000 1.000 -0.004 -0.007 0.000 -0.008 0.018 -0.002 -0.000 -0.002 0.000 0.038 0.000 -0.010 0.424 -0.001 -0.003 0.001 -0.000 |\n",
"| Dbar_p | 0.112 0.420 0.006 -0.004 1.000 0.006 0.006 0.022 -0.079 -0.290 0.008 0.015 -0.001 -0.141 -0.107 0.289 0.070 -0.354 -0.357 -0.127 -0.068 |\n",
"| omega_p | -0.000 0.001 -0.000 -0.007 0.006 1.000 0.000 -0.238 0.054 0.001 0.000 0.002 -0.000 0.005 -0.002 0.007 -0.016 -0.001 0.004 -0.001 -0.000 |\n",
"| p4160_p | -0.000 0.001 -0.000 0.000 0.006 0.000 1.000 0.000 -0.000 -0.005 0.000 0.008 -0.002 -0.000 -0.002 0.000 0.000 -0.002 -0.003 0.003 -0.000 |\n",
"| omega_s | -0.000 -0.000 -0.000 -0.008 0.022 -0.238 0.000 1.000 -0.355 0.002 0.000 0.004 -0.000 0.272 -0.004 -0.004 0.029 -0.005 0.004 -0.003 0.001 |\n",
"| rho_s | 0.002 -0.006 -0.000 0.018 -0.079 0.054 -0.000 -0.355 1.000 -0.013 -0.000 -0.017 0.001 0.137 0.008 -0.009 0.017 0.009 -0.013 0.009 -0.003 |\n",
"| p4415_s | 0.021 -0.152 -0.002 -0.002 -0.290 0.001 -0.005 0.002 -0.013 1.000 -0.001 -0.053 0.008 -0.022 0.148 0.097 0.008 0.180 0.388 -0.005 0.021 |\n",
"| p3770_p | 0.000 -0.007 -0.002 -0.000 0.008 0.000 0.000 0.000 -0.000 -0.001 1.000 0.000 -0.000 -0.002 0.002 0.006 0.001 -0.007 0.006 -0.002 0.001 |\n",
"| p4040_s | 0.018 -0.187 -0.007 -0.002 0.015 0.002 0.008 0.004 -0.017 -0.053 0.000 1.000 -0.007 -0.040 0.030 0.117 0.020 -0.208 0.367 -0.151 0.015 |\n",
"| p4160_s | -0.001 0.013 0.000 0.000 -0.001 -0.000 -0.002 -0.000 0.001 0.008 -0.000 -0.007 1.000 0.002 0.016 0.004 -0.001 -0.005 -0.012 0.009 0.002 |\n",
"| rho_p | 0.004 -0.016 0.000 0.038 -0.141 0.005 -0.000 0.272 0.137 -0.022 -0.002 -0.040 0.002 1.000 0.020 -0.084 0.088 0.028 -0.066 0.023 -0.003 |\n",
"| DDstar_p | -0.006 0.239 0.002 0.000 -0.107 -0.002 -0.002 -0.004 0.008 0.148 0.002 0.030 0.016 0.020 1.000 0.493 -0.014 0.361 0.263 0.077 -0.018 |\n",
"| jpsi_p | -0.009 0.177 0.000 -0.010 0.289 0.007 0.000 -0.004 -0.009 0.097 0.006 0.117 0.004 -0.084 0.493 1.000 0.030 0.089 0.331 -0.014 0.124 |\n",
"| phi_s | -0.002 0.003 -0.000 0.424 0.070 -0.016 0.000 0.029 0.017 0.008 0.001 0.020 -0.001 0.088 -0.014 0.030 1.000 -0.020 0.034 -0.012 0.000 |\n",
"| p4040_p | 0.003 0.071 0.006 -0.001 -0.354 -0.001 -0.002 -0.005 0.009 0.180 -0.007 -0.208 -0.005 0.028 0.361 0.089 -0.020 1.000 0.135 -0.017 0.050 |\n",
"| Ctt | -0.040 -0.409 -0.012 -0.003 -0.357 0.004 -0.003 0.004 -0.013 0.388 0.006 0.367 -0.012 -0.066 0.263 0.331 0.034 0.135 1.000 -0.099 0.100 |\n",
"| p4415_p | -0.007 0.080 0.003 0.001 -0.127 -0.001 0.003 -0.003 0.009 -0.005 -0.002 -0.151 0.009 0.023 0.077 -0.014 -0.012 -0.017 -0.099 1.000 -0.006 |\n",
"| Dbar_s | 0.003 0.083 0.001 -0.000 -0.068 -0.000 -0.000 0.001 -0.003 0.021 0.001 0.015 0.002 -0.003 -0.018 0.124 0.000 0.050 0.100 -0.006 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.015469631748245116}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.034695428084363655}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.022194210202051645}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.2780672627857754}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.19976666949371236}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.2671937212382529}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.008580998223017389}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 0.9308826751044559}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3211034332540267}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.1749638492204419}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.018367254946825007}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.15837229358404126}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.016571663411109938}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.2805341149071232}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.3200735521877265}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.027568144333935507}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 0.8688869085260684}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.11813129607659967}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.12382067380795514}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.3551574054217759}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.05842372924645711})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 11/15\n",
"Time taken: 22 min, 21 s\n",
"Projected time left: 8 min, 4 s\n",
"Toy 11: Generating data...\n",
"Toy 11: Data generation finished\n",
"Toy 11: Loading data...\n",
"Toy 11: Loading data finished\n",
"Toy 11: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.979E+05 | Ncalls=982 (982 total) |\n",
"| EDM = 3.91E-05 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297919.27944936405\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | -0.30 | 0.04 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.10 | 0.03 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 0.919 | 0.020 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | 0.73 | 0.16 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | 1.4 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 0.05 | 0.33 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | -2.08 | 0.12 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 6.5 | 1.1 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 0.9 | 0.4 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 0.95 | 0.19 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -6.283 | 0.016 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.88 | 0.17 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 1.93 | 0.16 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -6.28 | 0.07 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | 2.3 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | 4.566 | 0.028 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 20.8 | 0.9 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | 3.63 | 0.20 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.34 | 0.17 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -2.71 | 0.21 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.30 | 0.04 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.062 0.000 0.002 0.021 0.001 0.044 -0.000 0.002 0.021 0.001 0.035 0.025 0.000 0.093 0.098 -0.000 0.030 0.020 0.047 -0.005 |\n",
"| psi2s_p | 0.062 1.000 0.009 -0.000 0.195 -0.005 0.241 -0.000 -0.002 -0.196 -0.008 -0.257 -0.158 -0.001 0.083 0.018 0.005 0.081 -0.432 0.002 0.088 |\n",
"| p3770_s | 0.000 0.009 1.000 0.000 -0.002 -0.000 0.009 -0.000 -0.000 -0.004 -0.002 -0.006 -0.001 -0.000 0.007 0.002 0.000 0.007 -0.007 0.003 0.001 |\n",
"| phi_p | 0.002 -0.000 0.000 1.000 0.002 -0.060 -0.001 -0.048 0.014 0.002 0.000 0.002 0.000 -0.020 0.018 0.006 0.539 -0.004 0.015 -0.001 0.002 |\n",
"| Dbar_p | 0.021 0.195 -0.002 0.002 1.000 -0.007 -0.364 0.011 -0.028 0.038 0.005 0.018 -0.126 -0.001 -0.816 -0.349 0.021 -0.327 -0.678 -0.279 0.025 |\n",
"| omega_p | 0.001 -0.005 -0.000 -0.060 -0.007 1.000 0.004 0.640 -0.054 -0.005 -0.000 -0.006 -0.001 0.009 -0.009 -0.032 0.001 0.005 -0.018 0.001 0.000 |\n",
"| p4160_p | 0.044 0.241 0.009 -0.001 -0.364 0.004 1.000 -0.006 0.011 -0.112 -0.003 -0.458 -0.131 0.001 0.436 0.144 -0.014 0.082 -0.054 0.324 -0.004 |\n",
"| omega_s | -0.000 -0.000 -0.000 -0.048 0.011 0.640 -0.006 1.000 -0.344 0.004 0.000 0.004 0.001 0.052 0.009 0.007 0.010 -0.006 0.013 -0.003 0.001 |\n",
"| rho_s | 0.002 -0.002 -0.000 0.014 -0.028 -0.054 0.011 -0.344 1.000 -0.012 -0.000 -0.010 -0.009 -0.055 -0.010 -0.008 -0.038 0.006 -0.014 0.001 -0.002 |\n",
"| p4415_s | 0.021 -0.196 -0.004 0.002 0.038 -0.005 -0.112 0.004 -0.012 1.000 0.000 0.133 0.325 -0.001 -0.163 -0.030 0.011 0.072 0.196 -0.184 0.023 |\n",
"| p3770_p | 0.001 -0.008 -0.002 0.000 0.005 -0.000 -0.003 0.000 -0.000 0.000 1.000 -0.002 -0.003 -0.000 -0.002 0.002 0.001 -0.005 0.003 -0.003 0.001 |\n",
"| p4040_s | 0.035 -0.257 -0.006 0.002 0.018 -0.006 -0.458 0.004 -0.010 0.133 -0.002 1.000 -0.151 -0.002 -0.140 0.005 0.012 -0.216 0.287 -0.205 0.031 |\n",
"| p4160_s | 0.025 -0.158 -0.001 0.000 -0.126 -0.001 -0.131 0.001 -0.009 0.325 -0.003 -0.151 1.000 0.000 -0.098 -0.039 -0.002 0.383 0.212 -0.057 0.006 |\n",
"| rho_p | 0.000 -0.001 -0.000 -0.020 -0.001 0.009 0.001 0.052 -0.055 -0.001 -0.000 -0.002 0.000 1.000 -0.004 -0.011 -0.004 0.002 -0.007 0.001 -0.000 |\n",
"| DDstar_p | 0.093 0.083 0.007 0.018 -0.816 -0.009 0.436 0.009 -0.010 -0.163 -0.002 -0.140 -0.098 -0.004 1.000 0.560 0.038 0.205 0.518 0.146 -0.081 |\n",
"| jpsi_p | 0.098 0.018 0.002 0.006 -0.349 -0.032 0.144 0.007 -0.008 -0.030 0.002 0.005 -0.039 -0.011 0.560 1.000 0.058 0.023 0.489 0.053 0.068 |\n",
"| phi_s | -0.000 0.005 0.000 0.539 0.021 0.001 -0.014 0.010 -0.038 0.011 0.001 0.012 -0.002 -0.004 0.038 0.058 1.000 -0.020 0.055 -0.008 0.002 |\n",
"| p4040_p | 0.030 0.081 0.007 -0.004 -0.327 0.005 0.082 -0.006 0.006 0.072 -0.005 -0.216 0.383 0.002 0.205 0.023 -0.020 1.000 0.058 0.153 -0.004 |\n",
"| Ctt | 0.020 -0.432 -0.007 0.015 -0.678 -0.018 -0.054 0.013 -0.014 0.196 0.003 0.287 0.212 -0.007 0.518 0.489 0.055 0.058 1.000 0.125 -0.000 |\n",
"| p4415_p | 0.047 0.002 0.003 -0.001 -0.279 0.001 0.324 -0.003 0.001 -0.184 -0.003 -0.205 -0.057 0.001 0.146 0.053 -0.008 0.153 0.125 1.000 0.002 |\n",
"| Dbar_s | -0.005 0.088 0.001 0.002 0.025 0.000 -0.004 0.001 -0.002 0.023 0.001 0.031 0.006 -0.000 -0.081 0.068 0.002 -0.004 -0.000 0.002 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.04269675798502981}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.03295027318935739}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.019589913888333033}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.15776014718292242}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.41003776802528913}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.32998494255338917}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.1152429073373713}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 1.11942191194206}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3522002172587729}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.18623974523802644}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.015596842409330236}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.16661550354684507}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.16454055772411424}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.06541999076036031}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.35128954875854923}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.02793445015393825}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 0.9393211426628945}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.20192246953664483}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.16512026872995733}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.21350743532878758}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.04423388950774243})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 12/15\n",
"Time taken: 24 min, 48 s\n",
"Projected time left: 6 min, 12 s\n",
"Toy 12: Generating data...\n",
"Toy 12: Data generation finished\n",
"Toy 12: Loading data...\n",
"Toy 12: Loading data finished\n",
"Toy 12: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.974E+05 | Ncalls=1032 (1032 total) |\n",
"| EDM = 1.69E-05 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297448.96448540484\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | 0.015 | 0.457 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.09 | 0.04 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 1.93 | 0.24 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -6.1 | 0.3 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | 4.3 | 1.3 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 0.58 | 0.29 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | -1.95 | 0.13 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 9.3 | 1.1 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 0.5 | 0.4 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.7 | 0.4 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | 4.44 | 0.21 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.9 | 0.4 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.8 | 0.4 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -6 | 7 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -6 | 8 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | 4.56 | 0.06 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 19.0 | 1.6 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.37 | 0.19 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | 0.55 | 0.22 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -2.24 | 0.15 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | 0.300 | 0.018 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 0.694 -0.377 0.198 -0.982 0.361 0.820 0.020 -0.425 -0.908 0.797 -0.906 -0.906 -0.785 -0.989 0.922 0.292 -0.034 0.778 -0.556 -0.301 |\n",
"| psi2s_p | 0.694 1.000 -0.069 0.129 -0.652 0.244 0.668 0.012 -0.288 -0.666 0.635 -0.674 -0.637 -0.532 -0.683 0.600 0.192 0.115 0.324 -0.321 -0.182 |\n",
"| p3770_s | -0.377 -0.069 1.000 -0.075 0.335 -0.148 -0.294 -0.007 0.157 0.356 -0.363 0.405 0.367 0.314 0.370 -0.362 -0.113 0.051 -0.325 0.243 0.091 |\n",
"| phi_p | 0.198 0.129 -0.075 1.000 -0.190 0.167 0.153 -0.017 -0.101 -0.177 0.154 -0.178 -0.177 -0.227 -0.196 0.174 0.866 -0.014 0.162 -0.115 -0.057 |\n",
"| Dbar_p | -0.982 -0.652 0.335 -0.190 1.000 -0.345 -0.819 -0.019 0.406 0.875 -0.774 0.873 0.867 0.750 0.970 -0.901 -0.280 -0.007 -0.818 0.508 0.291 |\n",
"| omega_p | 0.361 0.244 -0.148 0.167 -0.345 1.000 0.280 0.364 0.186 -0.322 0.281 -0.323 -0.324 -0.585 -0.357 0.350 0.161 -0.030 0.307 -0.210 -0.105 |\n",
"| p4160_p | 0.820 0.668 -0.294 0.153 -0.819 0.280 1.000 0.015 -0.332 -0.731 0.718 -0.844 -0.758 -0.611 -0.806 0.726 0.226 0.047 0.512 -0.302 -0.238 |\n",
"| omega_s | 0.020 0.012 -0.007 -0.017 -0.019 0.364 0.015 1.000 0.011 -0.018 0.015 -0.018 -0.018 -0.005 -0.020 0.015 -0.000 -0.001 0.015 -0.012 -0.006 |\n",
"| rho_s | -0.425 -0.288 0.157 -0.101 0.406 0.186 -0.332 0.011 1.000 0.375 -0.332 0.378 0.374 0.356 0.420 -0.395 -0.128 0.023 -0.349 0.241 0.124 |\n",
"| p4415_s | -0.908 -0.666 0.356 -0.177 0.875 -0.322 -0.731 -0.018 0.375 1.000 -0.737 0.833 0.868 0.698 0.898 -0.817 -0.261 0.074 -0.619 0.459 0.271 |\n",
"| p3770_p | 0.797 0.635 -0.363 0.154 -0.774 0.281 0.718 0.015 -0.332 -0.737 1.000 -0.743 -0.712 -0.612 -0.787 0.713 0.227 0.099 0.506 -0.389 -0.230 |\n",
"| p4040_s | -0.906 -0.674 0.405 -0.178 0.873 -0.323 -0.844 -0.018 0.378 0.833 -0.743 1.000 0.798 0.701 0.896 -0.818 -0.262 -0.039 -0.604 0.438 0.271 |\n",
"| p4160_s | -0.906 -0.637 0.367 -0.177 0.867 -0.324 -0.758 -0.018 0.374 0.868 -0.712 0.798 1.000 0.701 0.896 -0.819 -0.261 0.200 -0.639 0.465 0.266 |\n",
"| rho_p | -0.785 -0.532 0.314 -0.227 0.750 -0.585 -0.611 -0.005 0.356 0.698 -0.612 0.701 0.701 1.000 0.776 -0.757 -0.243 0.060 -0.663 0.453 0.229 |\n",
"| DDstar_p | -0.989 -0.683 0.370 -0.196 0.970 -0.357 -0.806 -0.020 0.420 0.898 -0.787 0.896 0.896 0.776 1.000 -0.906 -0.289 0.036 -0.765 0.554 0.297 |\n",
"| jpsi_p | 0.922 0.600 -0.362 0.174 -0.901 0.350 0.726 0.015 -0.395 -0.817 0.713 -0.818 -0.819 -0.757 -0.906 1.000 0.264 -0.059 0.809 -0.514 -0.253 |\n",
"| phi_s | 0.292 0.192 -0.113 0.866 -0.280 0.161 0.226 -0.000 -0.128 -0.261 0.227 -0.262 -0.261 -0.243 -0.289 0.264 1.000 -0.022 0.241 -0.170 -0.085 |\n",
"| p4040_p | -0.034 0.115 0.051 -0.014 -0.007 -0.030 0.047 -0.001 0.023 0.074 0.099 -0.039 0.200 0.060 0.036 -0.059 -0.022 1.000 -0.137 0.145 0.004 |\n",
"| Ctt | 0.778 0.324 -0.325 0.162 -0.818 0.307 0.512 0.015 -0.349 -0.619 0.506 -0.604 -0.639 -0.663 -0.765 0.809 0.241 -0.137 1.000 -0.459 -0.226 |\n",
"| p4415_p | -0.556 -0.321 0.243 -0.115 0.508 -0.210 -0.302 -0.012 0.241 0.459 -0.389 0.438 0.465 0.453 0.554 -0.514 -0.170 0.145 -0.459 1.000 0.167 |\n",
"| Dbar_s | -0.301 -0.182 0.091 -0.057 0.291 -0.105 -0.238 -0.006 0.124 0.271 -0.230 0.271 0.266 0.229 0.297 -0.253 -0.085 0.004 -0.226 0.167 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.4570813567467453}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.04276468242962217}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.23535527190975092}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.33903875113051374}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 1.2553712896283908}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.28903345127045776}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.13344387479478304}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 1.0671033307425422}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.36959565819129037}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.39399942891736994}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.21066787774312523}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.3676230434786605}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.3504468146871518}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 7.372019677146743}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 7.600345377502435}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.057372644196525435}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 1.5675168407012787}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.1868822492484279}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.218952990206583}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.1520251297285382}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.01769015278674363})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 13/15\n",
"Time taken: 27 min, 25 s\n",
"Projected time left: 4 min, 12 s\n",
"Toy 13: Generating data...\n",
"Toy 13: Data generation finished\n",
"Toy 13: Loading data...\n",
"Toy 13: Loading data finished\n",
"Toy 13: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.978E+05 | Ncalls=1177 (1177 total) |\n",
"| EDM = 4.07E-05 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297823.64034128044\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | 0.30 | 0.44 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.20 | 0.04 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 2.53 | 0.24 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | 0.56 | 0.23 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | -3.8 | 0.5 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | 1.27 | 0.23 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | 4.32 | 0.10 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 9.4 | 0.7 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.6 | 0.4 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 1.36 | 0.18 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | -2.24 | 0.11 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.005 | 0.019 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.28 | 0.15 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | -6.28 | 0.13 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | -1.5 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -4.93 | 0.04 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 19.6 | 1.1 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -6 | 10 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | -0.71 | 0.21 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | 3.87 | 0.16 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.30 | 0.58 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 -0.032 0.036 0.008 -0.480 -0.000 0.228 -0.003 0.001 -0.083 -0.003 0.005 -0.023 -0.008 0.443 0.079 0.019 -0.005 0.080 0.163 -0.071 |\n",
"| psi2s_p | -0.032 1.000 0.002 0.007 0.599 0.004 0.307 -0.000 0.002 -0.001 0.400 0.006 -0.033 -0.001 -0.151 0.438 0.003 -0.010 0.045 0.151 0.287 |\n",
"| p3770_s | 0.036 0.002 1.000 -0.005 -0.272 -0.005 0.061 0.002 -0.009 -0.082 -0.183 0.002 0.033 0.006 0.141 -0.239 -0.014 -0.008 -0.278 0.051 -0.107 |\n",
"| phi_p | 0.008 0.007 -0.005 1.000 -0.002 0.075 -0.004 0.000 0.007 0.004 0.002 -0.000 0.001 -0.050 0.022 -0.010 0.711 0.000 0.026 -0.003 0.007 |\n",
"| Dbar_p | -0.480 0.599 -0.272 -0.002 1.000 0.013 0.045 0.005 0.010 0.198 0.298 -0.007 0.086 0.020 -0.705 0.517 -0.030 -0.002 0.007 0.025 0.218 |\n",
"| omega_p | -0.000 0.004 -0.005 0.075 0.013 1.000 0.006 -0.183 0.715 -0.001 0.004 0.000 -0.003 -0.035 -0.011 0.002 0.041 -0.000 -0.001 0.003 0.011 |\n",
"| p4160_p | 0.228 0.307 0.061 -0.004 0.045 0.006 1.000 0.003 0.003 -0.051 0.311 0.019 -0.121 0.010 0.251 0.260 -0.020 -0.001 -0.107 0.344 0.289 |\n",
"| omega_s | -0.003 -0.000 0.002 0.000 0.005 -0.183 0.003 1.000 -0.048 -0.001 0.001 0.000 0.001 0.003 -0.010 0.007 -0.006 -0.000 -0.010 0.002 0.000 |\n",
"| rho_s | 0.001 0.002 -0.009 0.007 0.010 0.715 0.003 -0.048 1.000 -0.004 0.003 -0.000 -0.008 0.039 -0.010 -0.010 -0.018 0.000 0.003 0.000 0.011 |\n",
"| p4415_s | -0.083 -0.001 -0.082 0.004 0.198 -0.001 -0.051 -0.001 -0.004 1.000 -0.076 -0.006 0.373 -0.002 -0.313 0.081 0.004 -0.007 0.283 -0.102 0.080 |\n",
"| p3770_p | -0.003 0.400 -0.183 0.002 0.298 0.004 0.311 0.001 0.003 -0.076 1.000 0.010 -0.047 0.003 0.038 0.272 -0.004 -0.015 -0.039 0.154 0.233 |\n",
"| p4040_s | 0.005 0.006 0.002 -0.000 -0.007 0.000 0.019 0.000 -0.000 -0.006 0.010 1.000 0.015 0.000 0.013 -0.002 -0.001 -0.158 -0.015 0.012 0.001 |\n",
"| p4160_s | -0.023 -0.033 0.033 0.001 0.086 -0.003 -0.121 0.001 -0.008 0.373 -0.047 0.015 1.000 0.001 -0.242 0.026 -0.003 -0.021 0.201 -0.152 0.069 |\n",
"| rho_p | -0.008 -0.001 0.006 -0.050 0.020 -0.035 0.010 0.003 0.039 -0.002 0.003 0.000 0.001 1.000 -0.030 0.011 -0.023 -0.001 -0.028 0.007 0.005 |\n",
"| DDstar_p | 0.443 -0.151 0.141 0.022 -0.705 -0.011 0.251 -0.010 -0.010 -0.313 0.038 0.013 -0.242 -0.030 1.000 -0.115 0.063 -0.001 0.298 0.057 0.359 |\n",
"| jpsi_p | 0.079 0.438 -0.239 -0.010 0.517 0.002 0.260 0.007 -0.010 0.081 0.272 -0.002 0.026 0.011 -0.115 1.000 -0.040 -0.005 0.297 0.155 0.595 |\n",
"| phi_s | 0.019 0.003 -0.014 0.711 -0.030 0.041 -0.020 -0.006 -0.018 0.004 -0.004 -0.001 -0.003 -0.023 0.063 -0.040 1.000 0.002 0.063 -0.015 -0.002 |\n",
"| p4040_p | -0.005 -0.010 -0.008 0.000 -0.002 -0.000 -0.001 -0.000 0.000 -0.007 -0.015 -0.158 -0.021 -0.001 -0.001 -0.005 0.002 1.000 0.006 -0.008 -0.012 |\n",
"| Ctt | 0.080 0.045 -0.278 0.026 0.007 -0.001 -0.107 -0.010 0.003 0.283 -0.039 -0.015 0.201 -0.028 0.298 0.297 0.063 0.006 1.000 -0.005 0.699 |\n",
"| p4415_p | 0.163 0.151 0.051 -0.003 0.025 0.003 0.344 0.002 0.000 -0.102 0.154 0.012 -0.152 0.007 0.057 0.155 -0.015 -0.008 -0.005 1.000 0.181 |\n",
"| Dbar_s | -0.071 0.287 -0.107 0.007 0.218 0.011 0.289 0.000 0.011 0.080 0.233 0.001 0.069 0.005 0.359 0.595 -0.002 -0.012 0.699 0.181 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.4351676537588786}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.04090041910625741}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.24208435639383685}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.22941688567627283}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.49040939423149}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.22580633660172378}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.09702051595701366}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 0.6741268669711005}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3625062390111441}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.1836061867717459}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.11416570357170674}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.01883356472198352}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.14777467234880293}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.128121692024874}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.35043613437600696}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.03797613150837309}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 1.1098995970140706}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 10.022366753195268}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.2133309989282856}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.15649631119914353}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.5783453513291319})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 14/15\n",
"Time taken: 30 min, 20 s\n",
"Projected time left: 2 min, 10 s\n",
"Toy 14: Generating data...\n",
"Toy 14: Data generation finished\n",
"Toy 14: Loading data...\n",
"Toy 14: Loading data finished\n",
"Toy 14: Fitting pdf...\n",
"------------------------------------------------------------------\n",
"| FCN = 2.978E+05 | Ncalls=1079 (1079 total) |\n",
"| EDM = 0.0142 (Goal: 5E-06) | up = 0.5 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| False | True | True | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | False | False | True |\n",
"------------------------------------------------------------------\n",
"Function minimum: 297806.12169336\n",
"----------------------------------------------------------------------------------------------\n",
"| | Name | Value | Hesse Err | Minos Err- | Minos Err+ | Limit- | Limit+ | Fixed |\n",
"----------------------------------------------------------------------------------------------\n",
"| 0 | DDstar_s | 0.29 | 0.07 | | | -0.3 | 0.3 | |\n",
"| 1 | psi2s_p | -2.21 | 0.04 | | |-6.28319 | 6.28319 | |\n",
"| 2 | p3770_s | 2.55 | 0.26 | | |0.918861 | 4.08114 | |\n",
"| 3 | phi_p | -5.55 | 0.19 | | |-6.28319 | 6.28319 | |\n",
"| 4 | Dbar_p | 6.28 | 0.19 | | |-6.28319 | 6.28319 | |\n",
"| 5 | omega_p | -6.28 | 0.10 | | |-6.28319 | 6.28319 | |\n",
"| 6 | p4160_p | 4.28 | 0.11 | | |-6.28319 | 6.28319 | |\n",
"| 7 | omega_s | 4.7 | 0.9 | | | 4.19232 | 9.40768 | |\n",
"| 8 | rho_s | 1.59 | 0.31 | | |0.0253049| 2.0747 | |\n",
"| 9 | p4415_s | 0.126 | 0.016 | | |0.126447 | 2.35355 | |\n",
"| 10| p3770_p | 4.41 | 0.11 | | |-6.28319 | 6.28319 | |\n",
"| 11| p4040_s | 0.82 | 0.17 | | |0.00501244| 2.01499 | |\n",
"| 12| p4160_s | 2.04 | 0.16 | | | 0.71676 | 3.68324 | |\n",
"| 13| rho_p | 6.3 | 0.4 | | |-6.28319 | 6.28319 | |\n",
"| 14| DDstar_p | 6.3 | 0.6 | | |-6.28319 | 6.28319 | |\n",
"| 15| jpsi_p | -4.830 | 0.026 | | |-6.28319 | 6.28319 | |\n",
"| 16| phi_s | 20.1 | 1.0 | | | 14.8182 | 23.5818 | |\n",
"| 17| p4040_p | -2.50 | 0.24 | | |-6.28319 | 6.28319 | |\n",
"| 18| Ctt | -0.12 | 0.16 | | | -1.5 | 1.5 | |\n",
"| 19| p4415_p | -6.28 | 0.15 | | |-6.28319 | 6.28319 | |\n",
"| 20| Dbar_s | -0.30 | 0.43 | | | -0.3 | 0.3 | |\n",
"----------------------------------------------------------------------------------------------\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| | DDstar_s psi2s_p p3770_s phi_p Dbar_p omega_p p4160_p omega_s rho_s p4415_s p3770_p p4040_s p4160_s rho_p DDstar_p jpsi_p phi_s p4040_p Ctt p4415_p Dbar_s |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"| DDstar_s | 1.000 -0.403 0.325 -0.019 -0.737 0.000 0.132 -0.011 0.014 0.006 -0.170 -0.109 0.138 -0.012 -0.290 -0.353 -0.026 0.233 0.009 0.000 -0.699 |\n",
"| psi2s_p | -0.403 1.000 -0.102 0.031 0.663 -0.001 0.209 0.028 -0.029 0.001 0.387 -0.173 -0.208 0.034 0.157 0.216 0.057 -0.027 -0.268 0.005 0.593 |\n",
"| p3770_s | 0.325 -0.102 1.000 -0.027 -0.459 0.001 0.079 -0.028 0.014 0.004 -0.208 0.130 0.234 -0.033 -0.140 -0.237 -0.060 0.254 -0.273 -0.006 -0.386 |\n",
"| phi_p | -0.019 0.031 -0.027 1.000 0.049 -0.004 -0.016 -0.024 0.019 -0.001 0.012 0.005 -0.013 0.075 0.015 0.000 0.646 -0.025 0.032 0.000 0.044 |\n",
"| Dbar_p | -0.737 0.663 -0.459 0.049 1.000 -0.001 -0.015 0.043 -0.039 -0.005 0.361 -0.089 -0.347 0.047 0.454 0.339 0.090 -0.296 -0.029 0.009 0.741 |\n",
"| omega_p | 0.000 -0.001 0.001 -0.004 -0.001 1.000 0.001 0.070 -0.019 0.000 -0.000 -0.000 0.000 -0.003 -0.001 -0.001 0.001 0.001 -0.002 -0.000 -0.001 |\n",
"| p4160_p | 0.132 0.209 0.079 -0.016 -0.015 0.001 1.000 -0.021 0.013 0.010 0.219 -0.462 -0.037 -0.023 -0.151 0.103 -0.041 0.156 -0.501 -0.009 -0.001 |\n",
"| omega_s | -0.011 0.028 -0.028 -0.024 0.043 0.070 -0.021 1.000 -0.406 -0.001 0.009 0.008 -0.012 -0.154 0.019 0.003 0.002 -0.027 0.044 0.000 0.040 |\n",
"| rho_s | 0.014 -0.029 0.014 0.019 -0.039 -0.019 0.013 -0.406 1.000 0.000 -0.010 -0.009 0.003 -0.073 -0.016 -0.034 -0.027 0.014 -0.019 0.000 -0.035 |\n",
"| p4415_s | 0.006 0.001 0.004 -0.001 -0.005 0.000 0.010 -0.001 0.000 1.000 0.003 -0.007 -0.005 -0.001 -0.005 0.001 -0.001 0.005 -0.011 -0.010 -0.004 |\n",
"| p3770_p | -0.170 0.387 -0.208 0.012 0.361 -0.000 0.219 0.009 -0.010 0.003 1.000 -0.160 -0.074 0.011 0.074 0.152 0.020 0.115 -0.280 0.002 0.321 |\n",
"| p4040_s | -0.109 -0.173 0.130 0.005 -0.089 -0.000 -0.462 0.008 -0.009 -0.007 -0.160 1.000 -0.167 0.010 -0.052 -0.094 0.013 -0.217 0.359 0.003 -0.130 |\n",
"| p4160_s | 0.138 -0.208 0.234 -0.013 -0.347 0.000 -0.037 -0.012 0.003 -0.005 -0.074 -0.167 1.000 -0.013 -0.143 -0.208 -0.028 0.469 0.005 -0.009 -0.323 |\n",
"| rho_p | -0.012 0.034 -0.033 0.075 0.047 -0.003 -0.023 -0.154 -0.073 -0.001 0.011 0.010 -0.013 1.000 0.019 0.015 0.036 -0.031 0.054 0.000 0.043 |\n",
"| DDstar_p | -0.290 0.157 -0.140 0.015 0.454 -0.001 -0.151 0.019 -0.016 -0.005 0.074 -0.052 -0.143 0.019 1.000 -0.119 0.035 -0.162 -0.129 0.007 0.393 |\n",
"| jpsi_p | -0.353 0.216 -0.237 0.000 0.339 -0.001 0.103 0.003 -0.034 0.001 0.152 -0.094 -0.208 0.015 -0.119 1.000 -0.007 -0.128 -0.141 0.006 0.193 |\n",
"| phi_s | -0.026 0.057 -0.060 0.646 0.090 0.001 -0.041 0.002 -0.027 -0.001 0.020 0.013 -0.028 0.036 0.035 -0.007 1.000 -0.056 0.089 0.001 0.082 |\n",
"| p4040_p | 0.233 -0.027 0.254 -0.025 -0.296 0.001 0.156 -0.027 0.014 0.005 0.115 -0.217 0.469 -0.031 -0.162 -0.128 -0.056 1.000 -0.399 -0.009 -0.251 |\n",
"| Ctt | 0.009 -0.268 -0.273 0.032 -0.029 -0.002 -0.501 0.044 -0.019 -0.011 -0.280 0.359 0.005 0.054 -0.129 -0.141 0.089 -0.399 1.000 -0.003 -0.199 |\n",
"| p4415_p | 0.000 0.005 -0.006 0.000 0.009 -0.000 -0.009 0.000 0.000 -0.010 0.002 0.003 -0.009 0.000 0.007 0.006 0.001 -0.009 -0.003 1.000 0.010 |\n",
"| Dbar_s | -0.699 0.593 -0.386 0.044 0.741 -0.001 -0.001 0.040 -0.035 -0.004 0.321 -0.130 -0.323 0.043 0.393 0.193 0.082 -0.251 -0.199 0.010 1.000 |\n",
"-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
"Hesse errors: OrderedDict([(<zfit.Parameter 'DDstar_s' floating=True>, {'error': 0.06688722453938811}), (<zfit.Parameter 'psi2s_p' floating=True>, {'error': 0.04149382929381229}), (<zfit.Parameter 'p3770_s' floating=True>, {'error': 0.2550664889635734}), (<zfit.Parameter 'phi_p' floating=True>, {'error': 0.19013215462474609}), (<zfit.Parameter 'Dbar_p' floating=True>, {'error': 0.1885248342997956}), (<zfit.Parameter 'omega_p' floating=True>, {'error': 0.10232506987486989}), (<zfit.Parameter 'p4160_p' floating=True>, {'error': 0.10563918790834137}), (<zfit.Parameter 'omega_s' floating=True>, {'error': 0.9152925069710411}), (<zfit.Parameter 'rho_s' floating=True>, {'error': 0.3127593208064462}), (<zfit.Parameter 'p4415_s' floating=True>, {'error': 0.015928954497738665}), (<zfit.Parameter 'p3770_p' floating=True>, {'error': 0.11425790661196267}), (<zfit.Parameter 'p4040_s' floating=True>, {'error': 0.16621689464617262}), (<zfit.Parameter 'p4160_s' floating=True>, {'error': 0.1612227852060888}), (<zfit.Parameter 'rho_p' floating=True>, {'error': 0.446496431419928}), (<zfit.Parameter 'DDstar_p' floating=True>, {'error': 0.6144703705613441}), (<zfit.Parameter 'jpsi_p' floating=True>, {'error': 0.025977194618548083}), (<zfit.Parameter 'phi_s' floating=True>, {'error': 1.005919398835962}), (<zfit.Parameter 'p4040_p' floating=True>, {'error': 0.24279549889988083}), (<zfit.Parameter 'Ctt' floating=True>, {'error': 0.15727258201923489}), (<zfit.Parameter 'p4415_p' floating=True>, {'error': 0.15182849144352994}), (<zfit.Parameter 'Dbar_s' floating=True>, {'error': 0.4291193487086542})])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Toy 15/15\n",
"Time taken: 33 min, 14 s\n",
"Projected time left: \n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# zfit.run.numeric_checks = False \n",
"\n",
"fitting_range = 'cut'\n",
"total_BR = 1.7e-10 + 4.9e-10 + 2.5e-9 + 6.02e-5 + 4.97e-6 + 1.38e-9 + 4.2e-10 + 2.6e-9 + 6.1e-10 + 4.37e-7\n",
"cut_BR = 1.0 - (6.02e-5 + 4.97e-6)/total_BR\n",
"\n",
"Ctt_list = []\n",
"Ctt_error_list = []\n",
"\n",
"nr_of_toys = 15\n",
"if fitting_range == 'cut':\n",
" nevents = int(pdg[\"number_of_decays\"]*cut_BR)\n",
"else:\n",
" nevents = int(pdg[\"number_of_decays\"])\n",
"# nevents = pdg[\"number_of_decays\"]\n",
"event_stack = 1000000\n",
"# nevents *= 41\n",
"# zfit.settings.set_verbosity(10)\n",
"calls = int(nevents/event_stack + 1)\n",
"\n",
"total_samp = []\n",
"\n",
"start = time.time()\n",
"\n",
"sampler = total_f.create_sampler(n=event_stack)\n",
"\n",
"for toy in range(nr_of_toys):\n",
" \n",
" ### Generate data\n",
" \n",
"# clear_output(wait=True)\n",
" \n",
" print(\"Toy {}: Generating data...\".format(toy))\n",
" \n",
" dirName = 'data/zfit_toys/toy_{0}'.format(toy)\n",
" \n",
" if not os.path.exists(dirName):\n",
" os.mkdir(dirName)\n",
" print(\"Directory \" , dirName , \" Created \")\n",
" \n",
" reset_param_values()\n",
" \n",
" if fitting_range == 'cut':\n",
" \n",
" sampler.resample(n=nevents)\n",
" s = sampler.unstack_x()\n",
" sam = zfit.run(s)\n",
" calls = 0\n",
" c = 1\n",
" \n",
" else: \n",
" for call in range(calls):\n",
"\n",
" sampler.resample(n=event_stack)\n",
" s = sampler.unstack_x()\n",
" sam = zfit.run(s)\n",
"\n",
" c = call + 1\n",
"\n",
" with open(\"data/zfit_toys/toy_{0}/{1}.pkl\".format(toy, call), \"wb\") as f:\n",
" pkl.dump(sam, f, pkl.HIGHEST_PROTOCOL)\n",
" \n",
" print(\"Toy {}: Data generation finished\".format(toy))\n",
" \n",
" ### Load data\n",
" \n",
" print(\"Toy {}: Loading data...\".format(toy))\n",
" \n",
" if fitting_range == 'cut':\n",
" \n",
" total_samp = sam\n",
" \n",
" else:\n",
" \n",
" for call in range(calls):\n",
" with open(r\"data/zfit_toys/toy_0/{}.pkl\".format(call), \"rb\") as input_file:\n",
" sam = pkl.load(input_file)\n",
" total_samp = np.append(total_samp, sam)\n",
"\n",
" total_samp = total_samp.astype('float64')\n",
" \n",
" if fitting_range == 'full':\n",
"\n",
" data = zfit.data.Data.from_numpy(array=total_samp[:int(nevents)], obs=obs)\n",
" \n",
" print(\"Toy {}: Loading data finished\".format(toy))\n",
"\n",
" ### Fit data\n",
"\n",
" print(\"Toy {}: Fitting pdf...\".format(toy))\n",
"\n",
" for param in total_f.get_dependents():\n",
" param.randomize()\n",
"\n",
" nll = zfit.loss.UnbinnedNLL(model=total_f, data=data, fit_range = (x_min, x_max), constraints = constraints)\n",
"\n",
" minimizer = zfit.minimize.MinuitMinimizer(verbosity = 5)\n",
" # minimizer._use_tfgrad = False\n",
" result = minimizer.minimize(nll)\n",
"\n",
" print(\"Toy {}: Fitting finished\".format(toy))\n",
"\n",
" print(\"Function minimum:\", result.fmin)\n",
" print(\"Hesse errors:\", result.hesse())\n",
"\n",
" params = result.params\n",
" Ctt_list.append(params[Ctt]['value'])\n",
" Ctt_error_list.append(params[Ctt]['minuit_hesse']['error'])\n",
"\n",
" #plotting the result\n",
"\n",
" plotdirName = 'data/plots'.format(toy)\n",
"\n",
" if not os.path.exists(plotdirName):\n",
" os.mkdir(plotdirName)\n",
"# print(\"Directory \" , dirName , \" Created \")\n",
" \n",
" probs = total_f.pdf(test_q, norm_range=False)\n",
" calcs_test = zfit.run(probs)\n",
" plt.clf()\n",
" plt.plot(test_q, calcs_test, label = 'pdf')\n",
" plt.legend()\n",
" plt.ylim(0.0, 6e-6)\n",
" plt.savefig(plotdirName + '/toy_fit_full_range{}.png'.format(toy))\n",
"\n",
" print(\"Toy {0}/{1}\".format(toy+1, nr_of_toys))\n",
" print(\"Time taken: {}\".format(display_time(int(time.time() - start))))\n",
" print(\"Projected time left: {}\".format(display_time(int((time.time() - start)/(c+calls*(toy))*((nr_of_toys-toy)*calls-c)))))\n",
" \n",
" if fitting_range == 'cut':\n",
" \n",
" _1 = np.where((total_samp >= x_min) & (total_samp <= (jpsi_mass - 60.)))\n",
" \n",
" tot_sam_1 = total_samp[_1]\n",
" \n",
" _2 = np.where((total_samp >= (jpsi_mass + 70.)) & (total_samp <= (psi2s_mass - 50.)))\n",
" \n",
" tot_sam_2 = total_samp[_2]\n",
"\n",
" _3 = np.where((total_samp >= (psi2s_mass + 50.)) & (total_samp <= x_max))\n",
" \n",
" tot_sam_3 = total_samp[_3]\n",
"\n",
" tot_sam = np.append(tot_sam_1, tot_sam_2)\n",
" tot_sam = np.append(tot_sam, tot_sam_3)\n",
" \n",
" data = zfit.data.Data.from_numpy(array=tot_sam[:int(nevents)], obs=obs_fit)\n",
" \n",
" print(\"Toy {}: Loading data finished\".format(toy))\n",
" \n",
" ### Fit data\n",
"\n",
" print(\"Toy {}: Fitting pdf...\".format(toy))\n",
"\n",
" for param in total_f_fit.get_dependents():\n",
" param.randomize()\n",
"\n",
" nll = zfit.loss.UnbinnedNLL(model=total_f_fit, data=data, constraints = constraints)\n",
"\n",
" minimizer = zfit.minimize.MinuitMinimizer(verbosity = 5)\n",
" # minimizer._use_tfgrad = False\n",
" result = minimizer.minimize(nll)\n",
"\n",
" print(\"Function minimum:\", result.fmin)\n",
" print(\"Hesse errors:\", result.hesse())\n",
"\n",
" params = result.params\n",
" \n",
" if result.converged:\n",
" Ctt_list.append(params[Ctt]['value'])\n",
" Ctt_error_list.append(params[Ctt]['minuit_hesse']['error'])\n",
"\n",
" #plotting the result\n",
"\n",
" plotdirName = 'data/plots'.format(toy)\n",
"\n",
" if not os.path.exists(plotdirName):\n",
" os.mkdir(plotdirName)\n",
" # print(\"Directory \" , dirName , \" Created \")\n",
" \n",
" plt.clf()\n",
" plt.hist(tot_sam, bins = int((x_max-x_min)/7.), label = 'toy data')\n",
" plt.savefig(plotdirName + '/toy_histo_cut_region{}.png'.format(toy))\n",
"\n",
" \n",
" probs = total_f_fit.pdf(test_q, norm_range=False)\n",
" calcs_test = zfit.run(probs)\n",
" plt.clf()\n",
" plt.plot(test_q, calcs_test, label = 'pdf')\n",
" plt.axvline(x=jpsi_mass-60.,color='red', linewidth=0.7, linestyle = 'dotted')\n",
" plt.axvline(x=jpsi_mass+70.,color='red', linewidth=0.7, linestyle = 'dotted')\n",
" plt.axvline(x=psi2s_mass-50.,color='red', linewidth=0.7, linestyle = 'dotted')\n",
" plt.axvline(x=psi2s_mass+50.,color='red', linewidth=0.7, linestyle = 'dotted')\n",
" plt.legend()\n",
" plt.ylim(0.0, 1.5e-6)\n",
" plt.savefig(plotdirName + '/toy_fit_cut_region{}.png'.format(toy))\n",
" \n",
" print(\"Toy {0}/{1}\".format(toy+1, nr_of_toys))\n",
" print(\"Time taken: {}\".format(display_time(int(time.time() - start))))\n",
" print(\"Projected time left: {}\".format(display_time(int((time.time() - start)/(toy+1))*((nr_of_toys-toy-1)))))\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"with open(\"data/results/Ctt_list.pkl\", \"wb\") as f:\n",
" pkl.dump(Ctt_list, f, pkl.HIGHEST_PROTOCOL)\n",
"with open(\"data/results/Ctt_error_list.pkl\", \"wb\") as f:\n",
" pkl.dump(Ctt_error_list, f, pkl.HIGHEST_PROTOCOL)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"11/15 fits converged\n",
"Mean Ctt value = 0.23121554511336265\n",
"Mean Ctt error = 0.16933628195612527\n",
"95 Sensitivy = 0.00048173624329696924\n"
]
}
],
"source": [
"print('{0}/{1} fits converged'.format(len(Ctt_list), nr_of_toys))\n",
"print('Mean Ctt value = {}'.format(np.mean(Ctt_list)))\n",
"print('Mean Ctt error = {}'.format(np.mean(Ctt_error_list)))\n",
"print('95 Sensitivy = {}'.format(((2*np.mean(Ctt_error_list))**2)*4.2/1000))"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"(36668,)"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plt.hist(tot_sam, bins = int((x_max-x_min)/7.))\n",
"\n",
"plt.show()\n",
"\n",
"# _ = np.where((total_samp >= x_min) & (total_samp <= (jpsi_mass - 50.)))\n",
"\n",
"tot_sam.shape"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"# sample from original values"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
