#!/usr/bin/env python # -*- coding: utf-8 -*- # @Author: Elena Graverini # @Date: 2015-10-27 18:26:49 # @Last Modified by: Elena Graverini # @Last Modified time: 2017-05-03 15:30:58 import ROOT as r import os location = {'TT': "/disk/data1/hep/elena/data/ST/Aging_Tuples/TT/TTaU/", 'IT': "/disk/data1/hep/elena/data/ST/Aging_Tuples/IT/T3X2/"} out_location = os.getcwd() + '/trackSel' os.system('mkdir -p %s' % out_location) # Load fill numbers macros = os.path.expandvars('$CCEHOME/macros/CCEScan/') with open(macros + 'Fills.dat', 'rb') as f: fills = f.read().splitlines() # fills = [2797, 3108, 3478, 4518, 4643, 4856, 5162, 5448] dets = ['TT', 'IT'] val = {'TT': 5, 'IT': 7} layer = {'TT': 'TTaU', 'IT': 'T3X2'} cut = {'TT': 12, 'IT': 20} stat = 10000000 r.gROOT.SetBatch(True) r.gROOT.ProcessLine('.X %s/../include/lhcbstyle.C' % os.getcwd()) # r.gStyle.SetPadRightMargin(0.16) # r.gStyle.SetPadLeftMargin(r.gStyle.GetPadLeftMargin() * 0.7) r.gStyle.SetPadLeftMargin(0.20) r.gStyle.SetPadRightMargin(0.25) r.gStyle.SetPadBottomMargin(0.15) r.gStyle.SetPadTopMargin(0.05) def printSelection(f, t_sig, det, fill, stat): r.gStyle.SetPadLeftMargin(0.20) r.gStyle.SetPadRightMargin(0.25) r.gStyle.SetPadBottomMargin(0.15) r.gStyle.SetPadTopMargin(0.05) print t_sig.Draw("GhostP : TrChi2/TrNDoF>>hsig(100,0., 5,100, 0.,1.)", "val%s>%s" % (val[det], cut[det]), "goff", stat, 0) h_sig = r.gDirectory.Get('hsig') print t_sig.Draw("GhostP : TrChi2/TrNDoF>>hnoise(100,0., 5,100, 0.,1.)", "val%s<%s" % (val[det], cut[det]), "goff", stat, 0) h_noise = r.gDirectory.Get('hnoise') c = r.TCanvas() h_sig.Divide(h_noise) h_sig.Draw("colz") h_sig.GetZaxis().SetRangeUser(0, 10) h_sig.SetTitle('TTaU S/B ratio for fill %s' % fill) h_sig.GetXaxis().SetTitle(r'#chi^{2}_{track}/ndf') h_sig.GetYaxis().SetTitle(r'Ghost Prob.') h_sig.GetZaxis().SetTitle(r'S/B ratio') h_sig.Draw("colz") c, line = putLine(c, det) label = r.TPaveText( 0.74 - r.gStyle.GetPadRightMargin(), 0.87 - r.gStyle.GetPadTopMargin(), 0.95 - r.gStyle.GetPadRightMargin(), 0.95 - r.gStyle.GetPadTopMargin(), "BRNDC") label.SetFillColor(0) label.SetTextAlign(12) label.SetBorderSize(0) label.SetTextFont(132) label.SetTextSize(0.06) label.SetTextAlign(22) label.AddText('Fill %s' % fill) label.Draw('same') c.Modified() c.Update() c.SaveAs('%s/%s_fill%s.pdf' % (out_location, det, fill)) h_sig.Delete() h_noise.Delete() def printADC(f, t_sig, det, fill, stat, step): if step > 30: print t_sig.Draw("val%s>>hsig%s(210,-35, 175)" % (val[det], step), "odinStep==%s" % step, "goff") # , stat, 0) else: print t_sig.Draw("val%s>>hsig%s(210,-35, 175)" % (val[det], step), "odinStep==%s" % step, "goff", stat, 0) h_sig = r.gDirectory.Get('hsig%s' % step) r.gROOT.ProcessLine('.X %s/../include/lhcbstyle.C' % os.getcwd()) c = r.TCanvas() h_sig.DrawNormalized() c.Update() h_sig.GetXaxis().SetTitle('Signal height [ADC value]') h_sig.GetYaxis().SetTitle('Fraction of hits / ADC value') label = r.TPaveText( 0.74 - r.gStyle.GetPadRightMargin(), 0.80 - r.gStyle.GetPadTopMargin(), 0.95 - r.gStyle.GetPadRightMargin(), 0.95 - r.gStyle.GetPadTopMargin(), "BRNDC") label.SetFillColor(0) label.SetTextAlign(12) label.SetBorderSize(0) label.SetTextFont(132) label.SetTextSize(0.06) label.SetTextAlign(22) label.AddText('Fill %s\n' % fill) from checkPulseData import get_vmap v_bias = get_vmap(det)[int(step) / 6] label.AddText('V_{bias} = %s V' % v_bias) label.Draw('same') line = r.TLine() line.SetLineWidth(3) line.SetLineColor(r.kRed) line.SetLineStyle(7) line.DrawLine(float(cut[det]), 0.0, float(cut[det]), r.gPad.GetUymax()) c.Modified() c.Update() c.SaveAs('%s/%s_odinStep%s_fill%s.pdf' % (out_location, det, step, fill)) h_sig.Delete() def putLine(c, det): line = r.TLine() line.SetLineWidth(4) line.SetLineColor(r.kWhite) c.cd() if 'TT' in det: line.DrawLine(0.0, 0.01, 1.6, 0.16) line.DrawLine(3.0, 0.07, 1.6, 0.16) line.DrawLine(3.0, 0.07, 3.0, 0.0) else: line.DrawLine(0.0, 0.0, 3.5, 0.35) line.DrawLine(3.5, 0.35, 5.0, 0.20) return c, line def printByStep(fill, stat): f = r.TFile(location_tt + '%s.root' % fill, 'read') t_sig = f.Get('STADCTrackMonitor/HitInfo/TTaU') # Look at Landau distribution for step in range(67): c = r.TCanvas() t_sig.Draw('val5>>hnew(70,-30,90)', 'odinStep==%s' % step) c.SaveAs() draw_sig = "GhostP : TrChi2/TrNDoF>>hsig(100, 0., 10., 100, 0., 1.)" draw_bg = "GhostP : TrChi2/TrNDoF>>hnoise(100, 0., 10., 100, 0., 1.)" f.Close() if __name__ == '__main__': for det in dets: for fill in fills: f = r.TFile(location[det] + '%s.root' % fill, 'read') t_sig = f.Get('STADCTrackMonitor/HitInfo/%s' % layer[det]) printSelection(f, t_sig, det, fill, stat) for step in [0, 12, 48, 54, 60]: printADC(f, t_sig, det, fill, stat, step) f.Close()