import cafana
# Environment variables and wildcards work. Most commonly you want a SAM
# dataset. Pass -ss --limit 1 on the cafe command line to make this take a
# reasonable amount of time for demo purposes.
fname = 'prod_sumdecaf_R17-03-01-prod3reco.k_fd_genie_nonswap_fhc_nova_v08_full_nue_or_numu_or_nus_contain_v1'
loader = cafana.SpectrumLoader(fname)
bins = cafana.Binning.Simple(100, 0, 1000)
# Arbitrary code to extract value from StandardRecord. Must be in C++ like this
kTrackLen = cafana.CVar('''
if(sr.trk.kalman.ntracks == 0) return 0.0f;
return float(sr.trk.kalman.tracks[0].len);
''')
# Spectrum to be filled from the loader
length = cafana.Spectrum("Track length (cm)", bins, loader, kTrackLen,
cafana.kIsNumuCC)
# Do it!
loader.Go()
# How to scale histograms
pot = 18e20
# We have histograms
length.ToTH1(pot).Draw('hist')
#!/usr/bin/env python
import cafana
fname = '/pnfs/icarus/persistent/users/dmendez/SBNAnaFiles/test/icarus/gen-prodcorsika_genie_nooverburden__nuetest.caf.root'
loader = cafana.SpectrumLoader(fname)
kTruthEnergy = cafana.CSliceVar(
'if(sr.truth.index > 0) return sr.truth.E; else return -1.;')
binsEnergy = cafana.Binning.Simple(50, 0, 5)
axEnergy = cafana.HistAxis('True energy (GeV)', binsEnergy, kTruthEnergy)
sEnergy = cafana.Spectrum(loader, axEnergy, cafana.kNoCut)
loader.Go()
sEnergy.ToTH1(sEnergy.POT()).Draw('hist')
MC_Truth = cafana.CVar('''
return float(sr.mc.nu[0].x);
''')
MC_mode = cafana.CVar('''
return float(sr.mc.nu[0].mode);
''')
kCrudeMuonSel = cafana.CCut('''
if(sr.trk.kalman.ntracks == 0) return false;
return bool(sr.trk.kalman.tracks[0].len > 200);
''')
# Spectrum to be filled from the loader
length = cafana.Spectrum("{}".format(MC_mode), bins, loader, MC_Truth,
cafana.kIsNumuCC)
# Do it!
loader.Go()
# How to scale histograms
pot = 18e20
# We have histograms
hist_plot = length.ToTH1(pot)
hist_plot.Draw('hist')
# Output mode
print('Mode value is', MC_mode)
# Arbitrary code to extract value from StandardRecord. Must be in C++ like this
MC_Truth = cafana.CVar('''
return float(sr.mc.nu[0].x);
''')
kNumuCutND2018 = cafana.CCut('''
return (sr->energy.numu.trkccE > 0 && // nothing is terribly wrong
sr->sel.remid.pid > 0 && // ensures at least 1 3D Kalman track with a remid value
sr->slc.nhit > 20 && // low hits stuff is junk
sr->slc.ncontplanes > 4 && // remove really vertical stuff
sr->trk.cosmic.ntracks > 0 ); // need a cosmic track
''')
# Spectrum to be filled from the loader
length = cafana.Spectrum("{}".format(MC_mode), bins, loader, MC_Truth,
kNumuCutND2018)
# Do it!
loader.Go()
# How to scale histograms
pot = 18e20
# We have histograms
hist_plot = length.ToTH1(pot)
h = hist_plot.Draw('hist')
h.savefig("MC_Plot_{}_of_10.pdf".format(i), bbox_inches='tight')
# Output mode
print('Mode value is', MC_mode)
# Arbitrary code to extract value from StandardRecord. Must be in C++ like this
kTrackLen = cafana.CVar('''
if(sr.trk.kalman.ntracks == 0) return 0.0f;
return float(sr.trk.kalman.tracks[0].len);
''')
MC_Truth = cafana.CVar('''
return float(sr.mc.nu[0].x);
''')
MC_mode = cafana.CVar('''
return float(sr.mc.nu[0].mode);
''')
# Spectrum to be filled from the loader
length = cafana.Spectrum("{}".format(MC_mode), bins, loader, MC_Truth, cafana.kIsNumuCC, cafana.kNoShift, cafana.kGibuuWeight);
# Do it!
loader.Go()
# How to scale histograms
pot = 18e20
# We have histograms
hist_plot = length.ToTH1(pot).Draw('hist')
hist_plot
# Output mode
print('Mode value is', MC_mode)
}
return ( sr->trk.kalman.ntracks > sr->trk.kalman.idxremid
&& sr->slc.firstplane > 1 // skip 0 and 1
&& sr->slc.lastplane < 212 // skip 212 and 213
&& sr->trk.kalman.tracks[0].start.Z() < 1100
// vertex definitely outside mC
&& ( sr->trk.kalman.tracks[0].stop.Z() < 1275
|| sr->sel.contain.kalyposattrans < 55 ) // air gap
&& sr->sel.contain.kalfwdcellnd > 5
&& sr->sel.contain.kalbakcellnd > 10 );
}
);''')
# Spectrum to be filled from the loader
length = cafana.Spectrum(bins, loader, MC_Truth, cafana.kIsNumuCC)
# Do it!
loader.Go()
# How to scale histograms
pot = 18e20
# We have histograms
hist_plot = length.ToTH1(pot).Draw('hist')
def histogram_plot(hist, outFile):
# initialisation
# gROOT.SetStyle("Plain") ;
# gStyle.SetOptStat(0)