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STPerformancePaper / config.py
@Andrea Mauri Andrea Mauri on 25 Oct 2017 5 KB Number_Of_Events = -1
"""
Here you may configure behaviour of the package.
"""
#########
#General#
#########
from binnings.NoBinning_2017 import binning  #Choose a time binning
from binnings.NoBinning_2017 import bin_name  #Choose a time binning
from binnings.NoBinning_2017 import bin_vector  #Choose a time binning
#from binnings.NoBinning_2016 import binning  #Choose a time binning
#from binnings.NoBinning_2016 import bin_name  #Choose a time binning
#from binnings.NoBinning_2016 import bin_vector  #Choose a time binning
#from binnings.NoBinning_2015 import binning  #Choose a time binning
#from binnings.NoBinning_2015 import bin_name  #Choose a time binning
#from binnings.NoBinning_2015 import bin_vector  #Choose a time binning
#from binnings.NoBinning_2012 import binning  #Choose a time binning
#from binnings.NoBinning_2012 import bin_name  #Choose a time binning
#from binnings.NoBinning_2012 import bin_vector  #Choose a time binning

#from binnings.BinByMonth_2012 import binning  #Choose a time binning
#from binnings.BinByMonth_2012 import bin_name  #Choose a time binning
#from binnings.BinByMonth_2012 import bin_vector  #Choose a time binning
#from binnings.BinByMonth_2015 import binning  #Choose a time binning
#from binnings.BinByMonth_2015 import bin_name  #Choose a time binning
#from binnings.BinByMonth_2015 import bin_vector  #Choose a time binning

#from binnings.BinByPt_2012 import binning  #Choose a pT binning
#from binnings.BinByPt_2012 import bin_name  #Choose a pT binning
#from binnings.BinByPt_2012 import bin_vector  #Choose a pT binning
#from binnings.BinByPt_2015 import binning  #Choose a pT binning
#from binnings.BinByPt_2015 import bin_name  #Choose a pT binning
#from binnings.BinByPt_2015 import bin_vector  #Choose a pT binning

#from binnings.BinByStrip_2017 import binning  #Choose a Strip binning
#from binnings.BinByStrip_2017 import bin_name  #Choose a Strip binning
#from binnings.BinByStrip_2017 import bin_vector  #Choose a Strip binning

#from binnings.BinByY_2017 import binning  #Choose a Y binning
#from binnings.BinByY_2017 import bin_name  #Choose a Y binning
#from binnings.BinByY_2017 import bin_vector  #Choose a Y binning
#from binnings.BinByY_2015 import binning  #Choose a Y binning
#from binnings.BinByY_2015 import bin_name  #Choose a Y binning
#from binnings.BinByY_2015 import bin_vector  #Choose a Y binning
#from binnings.BinByY_2012 import binning  #Choose a Y binning
#from binnings.BinByY_2012 import bin_name  #Choose a Y binning
#from binnings.BinByY_2012 import bin_vector  #Choose a Y binning

#from binnings.BinByRunNumber import binning  #Choose a pT binning
#from binnings.BinByRunNumber import bin_name  #Choose a pT binning
#from binnings.BinByRunNumber import bin_vector  #Choose a pT binning

#from binnings.BinByAlignmentVersions_2015 import binning  #Choose a time binning
#from binnings.BinByAlignmentVersions_2015 import bin_name  #Choose a time binning


Number_Of_Events = -1       #Choose a number of tracks to proceed from Tuple. Negative values == all tracks
pkl_address ="Pkls/"             #Address of dumping .pkl with dictionaries
histogram_address = "Histos/"    #Address for storing histograms
plot_address = "Plots/"          #Adress for storing plots
residual_limit = 0.5 #limit of residual histograms, in mm.
residual_nBins = 100 #number of bins in residual histograms
SNratio_limit = 250  #limit of S/N ratio histograms
SNratio_nBins = 250  #number of bins in S/N ratio histograms
dead_sectors = ['IT1BottomX2Sector7', 'IT3TopX1Sector7']

##################
#Histogram ranges#
##################
UsePredefinedRanges  = True
ITMeanRange          = [-0.06, 0.06]
ITWidthRange         = [0.044, 0.058]
#ITEffRange          = [0.995, 1.0]
ITEffRange           = [0.95, 1.0]

#TTMeanRange         = [-0.06, 0.06]
TTMeanRange          = [-0.14, 0.14]
#TTMeanRange          = [-0.04, 0.04]
#TTWidthRange        = [0.02, 0.12]
TTWidthRange         = [0.03, 0.10]
#TTEffRange          = [0.98, 1.0]
TTEffRange           = [0.97, 1.0]

TTclusterSizeRange   = [1., 2.]
TTSNratioRange       = [5.,20.]
TTnoiseFractionRange = [0.,0.004] # [0.,0.02]
#TTnoiseFractionRange = [0.,0.005]
TToccupancyRange     = [0.,250000.]


##################
#Histogram Titles#
##################
UsePredefinedTitles = True
IncudeMissingSectorsToSummary = False
nBins_in_summary = 30

ITMeanTitle = "Residual bias distribution [mm], 2017"
ITWidthTitle = "Residual width distribution [mm], 2017"
ITEffTitle = "Hit detection efficiency distribution, 2017"

TTMeanTitle =  "Residual bias distribution [mm], 2017"
TTWidthTitle =  "Residual width distribution [mm], 2017"
TTEffTitle =  "Hit detection efficiency distribution, 2017"

TTclusterSizeTitle = "Cluster size, 2017"
TTSNratioTitle =  "S/N ratio, 2017"
TTnoiseFractionTitle = "noise fraction, 2017"
TToccupancyTitle = "Occupancy, 2017"


###################################################
#Dependence of efficiency from search window study#
###################################################
perform_window_eff_study = True
#efficiency_windows = [0.01, 0.025, 0.05, 0.075, 0.1, 0.2, 0.3, 0.4]
efficiency_windows = [0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4 ]

final_eff_window = 0.24 #  # this window is used to calculat the efficiency for the final 2D plots od the detector

extra_name = "_194066" #"_166903"(2015) #"_180318"(2016) #"_194066"(2017) # _197925 #_194248