def draw(hist, mode=1, log=False):
c = rt.TCanvas(hist.GetName(), hist.GetName())
if mode == 2:
hist.Draw('colz')
if log == True: c.SetLogz()
if mode == 1:
hist.Draw('ep')
if log == True: c.SetLogy()
if mode == 'eff':
eff_framer.Draw()
hist.Draw('same')
pf.showlogoprelimsim('CMS')
# pf.showTitle('iso_cut = 0.%s'%iso_str)
pf.showTitle(hist.GetName())
c.Modified; c.Update()
return c
dsmunfl1.Add(dsmunfl2)
dsmucfl1.Add(dsmucfl2)
dsmusum.Add(dsmucfl1)
dsmusum.Add(dsmunfl1)
dsmucf.Divide(dsmucfl1, dsmusum)
dsmucf.Draw('same')
dsmucf.SetMarkerColor(2)
smucf.GetXaxis().SetTitle('p_{T}[GeV]')
smucf.GetYaxis().SetTitle('Entries (normalized)')
smucf.GetXaxis().SetTitleOffset(1.2)
smucf.GetYaxis().SetTitleOffset(1.4)
pf.showlumi('%.2f M entries' % (ntries / 1000000.))
pf.showlogoprelimsim('CMS')
leg = ROOT.TLegend(.18, .76, .4, .9)
leg.SetBorderSize(0)
leg.SetFillColor(ROOT.kWhite)
leg.SetFillStyle(0)
leg.SetTextFont(42)
leg.SetTextSize(0.03)
leg.AddEntry(dsmucf, 'dSA#mu', 'EP')
leg.AddEntry(smucf, 'S#mu', 'EP')
leg.Draw('apez same')
t.Update()
print('Updating pads')
for tt in [t]:
def checkAcc(mode='mu'):
cut_denom = ''
cut_num = 'l1_matched_dsmuon_pt > 5 & l2_matched_dsmuon_pt > 5' # CHECK this should work for e os and m os
# cut_num += ' & is_in_acc == 1'
if mode == 'e':
cut_num += ' & l0_matched_electron_pt > 30 & l0_matched_electron_reliso05 < 0.15'
Mlist = Mlist_e
if mode == 'mu':
cut_num += ' & l0_matched_muon_pt > 25 & l0_matched_muon_reliso05 < 0.15'
# Mlist = Mlist_mu
Mlist = [['2',M2_mu],['5',M5_mu],['8',M8_mu]]
for m, mass in Mlist:
t = rt.TChain('tree')
for f in mass:
t.Add(f)
b_2disp = np.arange(0.,350,5)
b_eff = np.arange(0.,1,0.1)
if m=='all': m=0
if float(m) == 1:
b_2disp = np.arange(0.,450,50)
if float(m) == 4:
b_2disp = np.concatenate( (np.arange(0.,200,5),np.arange(200.,300,10), np.arange(300.,350,25)), axis=None )
if float(m) > 4:
b_2disp = np.concatenate( (np.arange(0.,150,25), np.arange(150.,200,50), np.arange(200.,350,150)), axis=None)
if float(m) == 7:
b_2disp = np.concatenate( (np.arange(0.,25,1), np.arange(25.,100,25)), axis=None)
if float(m) == 8:
b_2disp = np.concatenate( (np.arange(0.,10,1), np.arange(10.,20,5), np.arange(20.,30,10)), axis=None)
if float(m) == 9:
b_2disp = np.concatenate( (np.arange(0.,5,1), np.arange(5,15,2.5)), axis=None)
if float(m) == 10:
b_2disp = np.concatenate( (np.arange(0.,2.5,0.5), np.arange(2.5,10,2.5)), axis=None)
if m==0: m='all'
framer = rt.TH2F('framer','framer',len(b_2disp)-1,b_2disp,len(b_eff)-1,b_eff)
framer.SetTitle('; 2D displacement [cm]; Signal acceptance')
framer.SetAxisRange(0.,350,"X")
framer.SetAxisRange(0.,1,"Y")
if m=='all': m=0
if float(m) == 1:
framer.SetAxisRange(0.,450,"X")
if float(m) == 7:
framer.SetAxisRange(0.,100,"X")
if float(m) == 8:
framer.SetAxisRange(0.,30,"X")
if float(m) == 9:
framer.SetAxisRange(0.,15,"X")
if float(m) == 10:
framer.SetAxisRange(0.,10,"X")
if m==0: m='1-10'
if mode =='mu': mode = '#mu'
num = rt.TH1F('num' , 'num' , len(b_2disp)-1, b_2disp)
denom = rt.TH1F('denom','denom', len(b_2disp)-1, b_2disp)
print '\t mass:', m, 'entries:', t.GetEntries()
print '\t denom entries: %i,'%t.GetEntries(cut_denom), 'drawing denom ...'
t.Draw('hnl_2d_disp >> denom', cut_denom)
print '\t denom done\n\tnum entries: %i,'%t.GetEntries(cut_num), 'drawing num ...'
t.Draw('hnl_2d_disp >> num', cut_num)
eff = rt.TEfficiency(num, denom)
c_eff = rt.TCanvas('eff_M_%s_%s'%(m,mode),'eff_M_%s_%s'%(m,mode))
framer.Draw()
eff.Draw('same')
pf.showlogoprelimsim('CMS')
pf.showlumi('m(N) = %s GeV'%m)
pf.showTitle('%s#mu#mu'%mode)
c_eff.Modified(); c_eff.Update()
c_eff.SaveAs(plotDir + c_eff.GetTitle() + '.root')
c_eff.SaveAs(plotDir + c_eff.GetTitle() + '.pdf')
c_eff.SaveAs(plotDir + c_eff.GetTitle() + '.png')
def checkAcc(mode='e'):
cut_denom = ''
cut = 'l1_pt > 0 & l2_pt > 0'
if mode == 'e':
# cut_mll += ' & l0_matched_electron_pt > 30 & l0_matched_electron_reliso05 < 0.15'
Mlist = Mlist_e
if mode == 'mu':
# cut_mll += ' & l0_matched_muon_pt > 25 & l0_matched_muon_reliso05 < 0.15'
Mlist = Mlist_mu
if mode == 'cmbd':
Mlist = Mlist_em
for m, mass in Mlist:
t = rt.TChain('tree')
for f in mass:
t.Add(f)
b_m = np.arange(0., 10, 0.1)
b_eff = np.arange(0., 1, 0.1)
# if m=='all': m=0
# if m=='cmbd':m=11
# if float(m) == 1:
# b_m = np.arange(0.,450,50)
# if float(m) == 4:
# b_m = np.concatenate( (np.arange(0.,200,5),np.arange(200.,300,10), np.arange(300.,350,25)), axis=None )
# if float(m) > 4:
# b_m = np.concatenate( (np.arange(0.,150,25), np.arange(150.,200,50), np.arange(200.,350,150)), axis=None)
# if float(m) == 7:
# b_m = np.concatenate( (np.arange(0.,25,1), np.arange(25.,100,25)), axis=None)
# if float(m) == 8:
# b_m = np.concatenate( (np.arange(0.,10,1), np.arange(10.,20,5), np.arange(20.,30,10)), axis=None)
# if float(m) == 9:
# b_m = np.concatenate( (np.arange(0.,5,1), np.arange(5,15,2.5)), axis=None)
# if float(m) == 10:
# b_m = np.concatenate( (np.arange(0.,2.5,0.5), np.arange(2.5,10,2.5)), axis=None)
# if m==0: m='all'
# if m==11: m='cmbd'
framer = rt.TH2F('framer', 'framer',
len(b_m) - 1, b_m,
len(b_eff) - 1, b_eff)
framer.SetTitle('; 2D displacement [cm]; Signal acceptance')
framer.SetAxisRange(0., 350, "X")
framer.SetAxisRange(0., 1, "Y")
# if m=='all': m=0
# if float(m) == 1:
# framer.SetAxisRange(0.,450,"X")
# if float(m) == 7:
# framer.SetAxisRange(0.,100,"X")
# if float(m) == 8:
# framer.SetAxisRange(0.,30,"X")
# if float(m) == 9:
# framer.SetAxisRange(0.,15,"X")
# if float(m) == 10:
# framer.SetAxisRange(0.,10,"X")
# if m==0: m='1-10'
if mode == 'mu': mode = '#mu'
if mode == 'cmbd': mode = '(e+#mu)'
mll = rt.TH1F('mll', 'mll', len(b_m) - 1, b_m)
mll.SetTitle('; di-muon mass [GeV]; a.u.')
print '\t mass:', m, 'entries:', t.GetEntries()
print '\t done\n\thist entries: %i,' % t.GetEntries(
cut), 'drawing mll ...'
t.Draw('hnl_m_12 >> mll', cut)
c_mll = rt.TCanvas('mll_M_%s_%s' % (m, mode),
'mll_M_%s_%s' % (m, mode))
mll.DrawNormalized()
pf.showlogoprelimsim('CMS')
pf.showlumi('m(N) = %s GeV' % m)
pf.showTitle('%s#mu#mu' % mode)
c_mll.Modified()
c_mll.Update()
c_mll.SaveAs(plotDir + c_mll.GetTitle() + '.root')
c_mll.SaveAs(plotDir + c_mll.GetTitle() + '.pdf')
c_mll.SaveAs(plotDir + c_mll.GetTitle() + '.png')
