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histos.py
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histos.py
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import math
import os
import sys
import time
from array import array
if sys.version[:3] > '2.3':
Set = set
else:
from sets import Set
import ROOT
import minimc
import analysis
import mcasym
simu = False
year = 2006
ptBins = minimc.MiniMcHistos.ptBins
etaBins = minimc.MiniMcHistos.etaBins
phiBins = minimc.MiniMcHistos.phiBins
nFitBins = minimc.MiniMcHistos.nFitBins
pBins = minimc.MiniMcHistos.pBins
dEdxBins = minimc.MiniMcHistos.dEdxBins
dcaGBins = minimc.MiniMcHistos.dcaGBins
vzBins = minimc.MiniMcHistos.vzBins
zbins = [0.0, 0.075, 0.125, 0.2, 0.3, 0.45, 0.65, 1.0]
zar = array('d', zbins)
asymKeys = ['STD', 'MAX', 'MIN', 'ZERO', 'GS_NLOC', 'DSSV', 'LSS1', 'LSS2',
'LSS3', 'AAC1', 'DNS1', 'DNS2', 'M015', 'M030', 'M045', 'denom']
pidCalibration = {
6988 : ( 0.066608, 0.889596),
6990 : ( 0.028513, 0.872612),
6992 : ( 0.016085, 0.856032),
6994 : ( 0.076727, 0.867838),
6995 : ( 0.167452, 0.855377),
6997 : ( 0.206903, 0.882462),
6998 : (-0.018938, 0.844754),
7001 : (-0.006526, 0.863949),
7002 : ( 0.014921, 0.865907),
7032 : (-0.059741, 0.856267),
7034 : (-0.064317, 0.870471),
7035 : (-0.090822, 0.871124),
7048 : (-0.387454, 0.866186),
7049 : (-0.393791, 0.865776),
7051 : (-0.137894, 0.792171),
7055 : (-0.420703, 0.858151),
7064 : (-0.283141, 0.878024),
7067 : (-0.087372, 0.873845),
7068 : (-0.077816, 0.840146),
7069 : ( 0.010756, 0.861486),
7070 : (-0.054644, 0.879342),
7072 : (-0.022931, 0.863193),
7075 : (-0.065000, 0.814292),
7079 : (-0.261988, 0.896589),
7085 : (-0.207958, 0.879845),
7087 : (-0.062486, 0.818310),
7088 : (-0.184964, 0.869739),
7092 : (-0.095016, 0.879631),
7102 : (-0.161471, 0.899666),
7103 : (-0.180760, 0.900305),
7110 : (-0.194342, 0.894236),
7112 : (-0.116899, 0.878893),
7114 : (-0.140619, 0.871448),
7118 : (-0.206615, 0.883038),
7120 : (-0.096027, 0.884061),
7122 : (-0.187495, 0.903031),
7123 : (-0.172261, 0.885190),
7124 : (-0.175057, 0.906155),
7125 : (-0.134531, 0.887071),
#7127 : (-0.149092, 0.897838), ## RunLog_onl problem
7128 : (-0.149092, 0.897838),
7131 : (-0.197370, 0.889249),
7133 : (-0.207133, 0.888365),
#7134 : (-0.130486, 0.893232), ## RunLog_onl problem
7134 : (-0.119566, 0.901472),
7136 : (-0.026902, 0.621362),
7138 : (-0.150951, 0.892991),
7151 : ( 0.033011, 0.851425),
7153 : (-0.094305, 0.892003),
7154 : ( 0.010605, 0.824362),
7161 : (-0.167815, 0.894401),
7162 : (-0.152793, 0.906894),
7164 : (-0.125891, 0.894419),
7165 : (-0.162527, 0.870979),
7166 : (-0.133315, 0.884772),
7172 : (-0.207923, 0.894637),
7232 : (-0.110842, 0.864740),
7237 : (-0.269559, 0.916554),
7238 : (-0.259372, 0.891293),
7249 : (-0.247810, 0.894708),
7250 : (-0.316081, 0.909442),
7253 : (-0.271044, 0.845922),
7255 : (-0.249242, 0.857201),
7265 : (-0.190056, 0.865755),
7266 : (-0.243196, 0.869884),
7269 : (-0.242802, 0.892759),
7270 : (-0.314700, 0.886310),
7271 : (-0.389984, 0.910892),
7272 : (-0.194932, 0.883244),
7274 : (-0.344731, 0.903323),
7276 : (-0.198418, 0.897573),
7278 : (-0.273830, 0.875383),
7279 : (-0.219441, 0.895625),
7293 : (-0.346773, 0.803589), ## transverse
7295 : (-0.268542, 0.859643), ## transverse
7296 : (-0.328538, 0.901968), ## transverse
7300 : (-0.283700, 0.876021),
7301 : (-0.325708, 0.891317),
7302 : (-0.333164, 0.890520),
7303 : (-0.274641, 0.894173),
7304 : (-0.306279, 0.890682),
7305 : ( 0.726845, 0.934432),
7308 : (-0.297895, 0.913868),
7311 : (-0.232436, 0.905442),
7317 : (-0.301910, 0.886113),
7320 : (-0.229533, 0.893824),
7325 : (-0.251390, 0.898416),
7327 : (-0.251943, 0.895118),
7718 : (-0.077766, 0.879930), ## transverse
7722 : (-0.019419, 0.848818), ## transverse
7724 : (-0.115915, 0.875705), ## transverse
7725 : (-0.089028, 0.869330), ## transverse
7729 : (-0.149134, 0.896646), ## transverse
7739 : (-0.092455, 0.885406), ## transverse
7740 : (-0.108566, 0.891201), ## transverse
7744 : (-0.051341, 0.894509), ## transverse
7745 : (-0.072091, 0.864465), ## transverse
7753 : (-0.051187, 0.889440), ## transverse
7756 : ( 0.151309, 0.848012), ## transverse
7757 : (-0.108126, 0.880723), ## transverse
7781 : (-0.045714, 0.907452), ## transverse
7785 : ( 0.079990, 0.866071), ## transverse
7786 : (-0.043541, 0.882520), ## transverse
7788 : ( 0.063298, 0.888150), ## transverse
7789 : (-0.115123, 0.894880), ## transverse
7790 : (-0.163721, 0.903411), ## transverse
7791 : (-0.107792, 0.909530), ## transverse
7792 : (-0.058317, 0.892502), ## transverse
7794 : (-0.062679, 0.903440), ## transverse
7795 : (-0.120403, 0.904253), ## transverse
7796 : (-0.208192, 0.927860), ## transverse
7797 : (-0.157988, 0.910834), ## transverse
7800 : (-0.135945, 0.889122), ## transverse
7803 : (-0.024001, 0.873819), ## transverse
7804 : (-0.253835, 0.897332), ## transverse
7805 : (-0.176320, 0.895462), ## transverse
7810 : (-0.084868, 0.877880), ## transverse
7811 : (-0.157192, 0.863181), ## transverse
7815 : (-0.270277, 0.898946), ## transverse
7817 : (-0.196213, 0.880809), ## transverse
7820 : (-0.238482, 0.899890), ## transverse
7823 : (-0.247331, 0.894104), ## transverse
7824 : (-0.278816, 0.909190), ## transverse
7825 : (-0.174100, 0.886618), ## transverse
7826 : (-0.234116, 0.887850), ## transverse
7827 : (-0.171585, 0.863359), ## transverse
7830 : (-0.238725, 0.895052), ## transverse
7831 : (-0.222429, 0.897187), ## transverse
7847 : (-0.027059, 0.874814),
7850 : (-0.123179, 0.900492),
7851 : (-0.036289, 0.889293),
7852 : (-0.045614, 0.891709),
7853 : (-0.119185, 0.898291),
7855 : (-0.134738, 0.908692),
7856 : (-0.089265, 0.895362),
7858 : (-0.102251, 0.897319),
7863 : (-0.083709, 0.911717),
7864 : (-0.113995, 0.904617),
7865 : ( 0.009516, 0.813364),
7871 : (-0.109983, 0.906486),
7872 : (-0.138412, 0.882469),
7883 : (-0.182051, 0.885964),
7886 : (-0.185474, 0.889406),
7887 : (-0.155607, 0.886540),
7889 : (-0.100630, 0.863594),
7890 : (-0.053211, 0.921421),
7891 : (-0.099581, 0.861152),
7892 : (-0.077996, 0.892110),
7893 : (-0.123162, 0.907638),
7896 : (-0.094806, 0.894019),
7898 : (-0.057477, 0.896248),
7901 : (-0.014140, 0.865671),
7908 : (-0.040456, 0.883598),
7909 : (-0.077470, 0.880354),
7911 : (-0.048150, 0.861430),
7913 : (-0.076636, 0.896822),
7916 : (-0.078441, 0.894539),
7918 : ( 0.043434, 0.888361),
7921 : (-0.010669, 0.876733),
7922 : ( 0.022409, 0.907525),
7926 : (-0.033154, 0.886284),
7944 : (-0.068744, 0.905098),
7949 : (-0.039570, 0.876990),
7951 : ( 0.056927, 0.936951),
7952 : ( 0.025446, 0.885525),
7954 : ( 0.205871, 0.864685),
7957 : ( 0.014065, 0.899964)
}
class EventCuts:
def __init__(self, event=None):
if event is None:
self.vertex = False
self.bbc = False
self.all = False
else:
self.set(event)
def set(self, event):
self.vertex = event.nVertices() > 0
timeDiff = event.bbcTimeBin()
#if timeDiff % 32 != 0:
# self.bbc = False
#else:
# bin = timeDiff / 32
# self.bbc = bin in (7,8,9) or (event.runId() > 7000000 and bin == 6)
## dropping the discrete timebin cut -- APK 2008-01-09
bin = timeDiff / 32
self.bbc = bin in (7,8,9) or (event.runId() > 7000000 and bin == 6)
if simu: self.bbc = True
self.all = self.vertex and self.bbc
class TrackCuts:
def __init__(self, fill):
self.eta = False
self.dca = False
self.fit = False
self.pid = False
self.all = False
## need this try..except to bootstrap PID calibration
try:
pidFit = pidCalibration[fill]
except KeyError:
pidFit = (0.0, 1.0)
#pidFit = pidCalibration[fill]
self.pidMin = pidFit[0] - 1.0*pidFit[1]
self.pidMax = pidFit[0] + 2.0*pidFit[1]
## try a "cleaner" bg sample at least 2 sigma from pion mean
self.pid_bg = False
self.pidBgMin = pidFit[0] - 2.0*pidFit[1]
self.pidBgMax = self.pidMax
def set(self, track):
self.eta = math.fabs( track.eta() ) < 1.0
self.dca = math.fabs( track.globalDca().mag() ) < 1.0
self.fit = track.nHitsFit() > 25
self.pid = self.pidMin < track.nSigmaPion() < self.pidMax
self.pid_bg = (track.nSigmaPion() < self.pidBgMin) or \
(track.nSigmaPion() > self.pidBgMax)
if simu:
self.pid = True
self.pid_bg = False
self.all = self.eta and self.dca and self.pid and self.fit
class JetCuts:
triggerThresholds = {
96201:13,
96211:17,
96221:66,
96233:83,
137221:58,
137222:60
}
minPhi2005 = 40
maxPhi2005 = 320
patchPhi2005 = [90.,30.,-30.,-90.,-150.,150.]
minPhi2006 = 36
maxPhi2006 = 324
patchPhi2006 = [150.,90.,30.,-30.,-90.,-150.,150.,90.,30.,-30.,-90.,-150.]
def __init__(self, jet=None, event=None):
if jet is None:
self.eta = False
self.rt = False
self.trig = []
else:
self.set(jet, event)
def set(self, jet, event):
if (not simu and event.runId() < 7000000) or (simu and year == 2005):
self.eta = 0.2 < jet.detectorEta() < 0.8
self.rt = 0.1 < (jet.tpcEtSum() / jet.Et()) < 0.9
self.trig = [96011]
## HT geometric trigger condition
for particle in jet.particles():
if particle.detectorId() == ROOT.kBarrelEmcTowerId:
adc = event.highTowerAdc(particle.index())
if adc > self.triggerThresholds[96211]:
self.trig.append(96201)
self.trig.append(96211)
elif adc > self.triggerThresholds[96201]:
self.trig.append(96201)
## JP geometric trigger condition
for patchId in range(6):
adc = event.jetPatchAdc(patchId)
if adc > self.triggerThresholds[96221]:
dPhi=abs(math.degrees(jet.Phi())-self.patchPhi2005[patchId])
if dPhi < self.minPhi2005 or dPhi > self.maxPhi2005:
self.trig.append(96221)
if adc > self.triggerThresholds[96233]:
self.trig.append(96233)
else:
self.eta = -0.7 < jet.detectorEta() < 0.9
self.rt = (jet.tpcEtSum() / jet.Et()) > 0.08
self.trig = [117001]
## JP geometric trigger condition
for patchId in range(12):
adc = event.jetPatchAdc(patchId)
if adc > self.triggerThresholds[137221]:
dPhi=abs(math.degrees(jet.Phi())-self.patchPhi2006[patchId])
if dPhi < self.minPhi2006 or dPhi > self.maxPhi2006:
self.trig.append(137221)
if adc > self.triggerThresholds[137222]:
self.trig.append(137222)
class Histo(object):
"""
wrapper around a ROOT histogram so I can add a few convenience methods
"""
def __init__(self, hist):
self.h = hist
self.profile = (type(hist) == ROOT.TProfile)
if not self.profile:
self.h.Sumw2()
self.vals = []
def __getattr__(self, name):
"""
fall back to ROOT method if I didn't define a replacement
"""
return getattr(self.h, name)
def Fill(self, x, y=None, z=None):
if self.profile:
self.h.Fill(x,y)
else:
self.vals.append((x,y,z))
def Flush(self):
"""
Ends the event and actually fills the ROOT histogram, taking multi-
particle statistics into account.
"""
if self.profile: return
weight = {}
keep = {}
for x,y,z in self.vals:
bin = self.h.FindBin(x, y or 0, z or 0)
weight[bin] = weight.get(bin,0) + 1
keep[bin] = (x,y,z)
for bin,w in weight.items():
x,y,z = keep[bin]
if z:
self.h.Fill(x,y,z,w)
elif y:
try:
self.h.Fill(x,y,w)
except TypeError:
# assume this is an mcasym histo which has its own weight
self.h.Fill(x,y)
else:
self.h.Fill(x,w)
self.vals = []
class TrackHistogramCollection(dict):
"""histograms filled for each track"""
allKeys = [
'pt', 'eta', 'phi', 'nHitsFit', 'dEdx', 'dcaG', 'nSigmaPion',
'dphi_deta', 'z', 'z_away', 'pt_near', 'pt_away', 'pt_bg', 'z_jet',
'z_away_jet', 'xi', 'xi_away', 'ptMc_ptPr', 'ptMc_ptGl', 'etaMc_etaPr',
'etaMc_etaGl', 'ptMc', 'away_mult', 'near_mult', 'away_lead_pt',
'near_lead_pt', 'lead_matched', 'lead_cutfail', 'lead_nomatch',
'z_away2', 'z_away3', 'z_away4', 'away2_eta', 'away2_nHitsFit',
'away2_dcaG', 'away2_nSigmaPion', 'z_away2_bg', 'vz', 'distortedPt',
'dphi', 'one', 'meanpt', 'meanjetpt', 'z_noshift', 'zf', 'z_away2_low',
'z_away2_high'
]
for key in asymKeys:
allKeys.extend([key, key+'w', key+'f', key+'l', key+'h'])
def __init__(self, name, tfile=None, keys=None):
self.away_mult = 0
self.near_mult = 0
self.away_lead_pt = 0.0
self.near_lead_pt = 0.0
if tfile is not None:
for key in self.allKeys:
if keys is None or key in keys:
self[key] = tfile.Get('%s_%s' % (name,key))
else:
if simu:
self['ptMc_ptPr'] = Histo(ROOT.TH2D('%s_ptMc_ptPr' % name, \
'prim reco p_{T} vs. true p_{T}', \
5*ptBins[0], ptBins[1], ptBins[2], \
5*ptBins[0], ptBins[1], ptBins[2]))
self['ptMc_ptGl'] = Histo(ROOT.TH2D('%s_ptMc_ptGl' % name, \
'glob reco p_{T} vs. true p_{T}', \
ptBins[0], ptBins[1], ptBins[2], \
ptBins[0], ptBins[1], ptBins[2]))
self['etaMc_etaPr'] = Histo(ROOT.TH2D('%s_etaMc_etaPr' % name, \
'prim reco #eta vs. true #eta', \
etaBins[0], etaBins[1], etaBins[2], \
etaBins[0], etaBins[1], etaBins[2]))
self['etaMc_etaGl'] = Histo(ROOT.TH2D('%s_etaMc_etaGl' % name, \
'glob reco #eta vs. true #eta', \
etaBins[0], etaBins[1], etaBins[2], \
etaBins[0], etaBins[1], etaBins[2]))
self['ptMc'] = Histo(ROOT.TH1D('%s_ptMc' % name, \
'true track p_{T}', \
ptBins[0], ptBins[1], ptBins[2]))
if year == 2005:
self['STD'] = Histo(ROOT.TH1D('%s_STD' % name, \
'GRSV-STD', ptBins[0], ptBins[1], ptBins[2]))
self['MAX'] = Histo(ROOT.TH1D('%s_MAX' % name, \
'GRSV-MAX', ptBins[0], ptBins[1], ptBins[2]))
self['MIN'] = Histo(ROOT.TH1D('%s_MIN' % name, \
'GRSV-MIN', ptBins[0], ptBins[1], ptBins[2]))
self['ZERO'] = Histo(ROOT.TH1D('%s_ZERO' % name, \
'GRSV-ZERO', ptBins[0], ptBins[1], ptBins[2]))
self['GS_NLOC'] = Histo(ROOT.TH1D('%s_GS_NLOC' % name, \
'GS Set C', ptBins[0], ptBins[1], ptBins[2]))
self['denom'] = Histo(ROOT.TH1D('%s_denom' % name, \
'Asymmetry denominator', \
ptBins[0], ptBins[1], ptBins[2]))
else:
for key in ('STD', 'MAX', 'MIN', 'ZERO', 'GS_NLOC', 'DSSV',
'LSS1', 'LSS2', 'LSS3', 'AAC1', 'DNS1', 'DNS2', 'M015',
'M030', 'M045'):
self[key] = Histo(ROOT.TH1D('%s_%s' % (name,key),
key, len(zbins)-1, zar))
self[key+'f'] = Histo(ROOT.TH1D('%s_%sf' % (name,key),
key, 20, 0., 1.))
self[key+'w'] = Histo(ROOT.TH1D('%s_%sw' % (name,key),
key, len(zbins)-1, zar))
self[key+'l'] = Histo(ROOT.TH1D('%s_%sl' % (name,key),
key, len(zbins)-1, zar))
self[key+'h'] = Histo(ROOT.TH1D('%s_%sh' % (name,key),
key, len(zbins)-1, zar))
self['denom'] = Histo(ROOT.TH1D('%s_denom' % name, \
'Asymmetry denominator', len(zbins)-1, zar))
self['denomf'] = Histo(ROOT.TH1D('%s_denomf' % name, \
'Asymmetry denominator', 20, 0., 1.))
self['denomw'] = Histo(ROOT.TH1D('%s_denomw' % name, \
'Asymmetry denominator', len(zbins)-1, zar))
self['denoml'] = Histo(ROOT.TH1D('%s_denoml' % name, \
'Asymmetry denominator', len(zbins)-1, zar))
self['denomh'] = Histo(ROOT.TH1D('%s_denomh' % name, \
'Asymmetry denominator', len(zbins)-1, zar))
self['one'] = Histo(ROOT.TH1D('%s_one' % name, '', 1, -0.5, 0.5))
self['pt'] = Histo(ROOT.TH1D('%s_pt' % (name,), 'track p_{T}', \
ptBins[0], ptBins[1], ptBins[2]))
self['eta'] = Histo(ROOT.TH1D('%s_eta' % (name,), 'track #eta', \
etaBins[0], etaBins[1], etaBins[2]))
self['phi'] = Histo(ROOT.TH1D('%s_phi' % (name,), 'track #phi', \
phiBins[0], phiBins[1], phiBins[2]))
self['nHitsFit'] = Histo(ROOT.TH1D('%s_nHitsFit' % (name,), \
'nHitsFit', nFitBins[0], nFitBins[1], nFitBins[2]))
self['dEdx'] = Histo(ROOT.TH1D('%s_dEdx' % (name,), 'dE/dx', \
dEdxBins[0], dEdxBins[1], dEdxBins[2]))
self['dcaG'] = Histo(ROOT.TH1D('%s_dcaG' % (name,), '|dcaGlobal|', \
dcaGBins[0], dcaGBins[1], dcaGBins[2]))
self['vz'] = Histo(ROOT.TH1D('%s_vz' % (name,), \
'vz for good tracks', vzBins[0], vzBins[1], vzBins[2]))
self['nSigmaPion'] = Histo(ROOT.TH1D('%s_nSigmaPion' % (name,), \
'n#sigma(#pi)', 240, -6.0, 6.0))
self['dphi_deta'] = Histo(ROOT.TH2D('%s_dphi_deta' % (name,), \
'track relative to trigger jet', \
50, -1.5*math.pi, 0.5*math.pi, 50, -2.0, 2.0))
self['dphi_deta'].SetXTitle('#delta#phi')
self['dphi_deta'].SetYTitle('#delta#eta')
z_xbins = [2.0, 3.0, 4.0, 5.5, 7.0, 10.0]
ar = array('d',z_xbins)
self['z'] = Histo(ROOT.TH2D('%s_z' % (name,), '<z>', \
len(z_xbins)-1, ar, 50, 0., 1.))
self['z_away'] = Histo(ROOT.TH2D('%s_z_away' % (name,), \
'<z> for away-side jet', len(z_xbins)-1, ar, 50, 0., 1.))
self['pt_away'] = Histo(ROOT.TH1D('%s_pt_away' % (name,), \
'track p_{T} away-side', ptBins[0], ptBins[1], ptBins[2]))
self['pt_near'] = Histo(ROOT.TH1D('%s_pt_near' % (name,), \
'track p_{T} near-side', ptBins[0], ptBins[1], ptBins[2]))
self['pt_bg'] = Histo(ROOT.TH1D('%s_pt_bg' % name, \
'track p_{T} for PID bg', ptBins[0], ptBins[1], ptBins[2]))
# www.star.bnl.gov/protected/spin/rfatemi/Jet_2005/Binning/BIN.html
jet_et_bins = [5.0, 6.15, 7.5645, 9.30434, 11.4443, 14.0765,
17.3141, 21.2964, 26.1945, 32.2193, 39.6297, 48.7446, 59.9558]
ar = array('d', jet_et_bins)
self['z_jet'] = Histo(ROOT.TH2D('%s_z_jet' % name, \
'z vs. jet E_{T}', len(jet_et_bins)-1, ar, 50, 0., 1.))
self['z_away_jet'] = Histo(ROOT.TH2D('%s_z_away_jet' % name, \
'z vs. away jet E_{T}', len(jet_et_bins)-1, ar, 50, 0., 1.))
self['xi'] = Histo(ROOT.TH2D('%s_xi' % name, '#Xi', \
len(jet_et_bins)-1, ar, 50, 0., 4.))
self['xi_away'] = Histo(ROOT.TH2D('%s_xi_away' % name, \
'#Xi for away-side tracks', len(jet_et_bins)-1, ar, 50, 0., 4.))
self['away_mult'] = Histo(ROOT.TH1D('%s_away_mult' % name, \
'# of pions on away-side', 10, -0.5, 9.5))
self['near_mult'] = Histo(ROOT.TH1D('%s_near_mult' % name, \
'# of pions on near-side', 10, -0.5, 9.5))
self['away_lead_pt'] = Histo(ROOT.TH1D('%s_away_lead_pt' % name, \
'p_{T} of leading pion on away-side', \
ptBins[0], ptBins[1], ptBins[2]))
self['near_lead_pt'] = Histo(ROOT.TH1D('%s_near_lead_pt' % name, \
'p_{T} of leading pion on near-side', \
ptBins[0], ptBins[1], ptBins[2]))
self['lead_matched'] = Histo(ROOT.TH1D('%s_lead_matched' % name, \
'p_{T} of leading pion on away-side', \
ptBins[0], ptBins[1], ptBins[2]))
self['lead_cutfail'] = Histo(ROOT.TH1D('%s_lead_cutfail' % name, \
'p_{T} of leading pion on away-side', \
ptBins[0], ptBins[1], ptBins[2]))
self['lead_nomatch'] = Histo(ROOT.TH1D('%s_lead_nomatch' % name, \
'p_{T} of leading pion on away-side', \
ptBins[0], ptBins[1], ptBins[2]))
self['z_noshift'] = Histo(ROOT.TH1D('%s_z_noshift' % name, '', \
len(zbins)-1, zar))
self['z_away2'] = Histo(ROOT.TH1D('%s_z_away2' % name, '', \
len(zbins)-1, zar))
self['z_away2'].SetXTitle('p_{T}(#pi)/p_{T}(trigger jet)')
self['z_away2_low'] = Histo(ROOT.TH1D('%s_z_away2' % name, '', \
len(zbins)-1, zar))
self['z_away2_high'] = Histo(ROOT.TH1D('%s_z_away2' % name, '', \
len(zbins)-1, zar))
self['meanpt'] = Histo(ROOT.TProfile('%s_meanpt' % name, '', \
len(zbins)-1, zar))
self['meanjetpt'] = Histo(ROOT.TProfile('%s_meanjetpt' % name, '', \
len(zbins)-1, zar))
self['z_away3'] = Histo(ROOT.TH1D('%s_z_away3' % name, '', \
len(zbins)-1, zar))
self['z_away3'].SetXTitle(\
'fraction of non-trigger jet p carried by #pi')
self['z_away4'] = Histo(ROOT.TH1D('%s_z_away4' % name, \
'inclusive if separate z-bins', len(zbins)-1, zar))
self['z_away4'].SetXTitle('p_{T}(#pi)/p_{T}(trigger jet)')
self['away2_eta'] = Histo(ROOT.TH1D('%s_away2_eta' % (name,), \
'away-side #eta', etaBins[0], etaBins[1], etaBins[2]))
self['away2_dcaG'] = Histo(ROOT.TH1D('%s_away2_dcaG' % (name,), \
'away-side |dcaG|', dcaGBins[0], dcaGBins[1], dcaGBins[2]))
self['away2_nHitsFit'] = Histo(ROOT.TH1D('%s_away2_nHitsFit'% name,\
'away-side nHitsFit', nFitBins[0], nFitBins[1], nFitBins[2]))
self['away2_nSigmaPion'] = Histo(ROOT.TH1D('%s_away2_nSigmaPion' \
% (name,), 'away-side n#sigma(#pi)', 240, -6.0, 6.0))
self['z_away2_bg'] = Histo(ROOT.TH1D('%s_z_away2_bg' % name, '', \
len(zbins)-1, zar))
self['z_away2_bg'].SetXTitle('p_{T}(#pi)/p_{T}(trigger jet)')
self['distortedPt'] = Histo(ROOT.TH1D('%s_distortedPt' % name, \
'pT corrected for space charge distortion', \
ptBins[0], ptBins[1], ptBins[2]))
self['dphi'] = Histo(ROOT.TH1D('%s_dphi' % name, \
'#Delta#phi relative to trigger jet', \
2*phiBins[0], phiBins[1], phiBins[2]))
self['zf'] = Histo(ROOT.TH1D('%s_zf' % name,
'finely binned for mcasym comparison', 20, 0., 1.))
def fillMcTrack(self, track):
"""docstring for fillMcTrack"""
pass
def fillMatchedPair(self, track):
"""docstring for fillMatchedPair"""
if track.geantId() in (8,9):
self['ptMc'].Fill(track.ptMc())
self['ptMc_ptPr'].Fill(track.ptMc(), track.ptPr())
self['ptMc_ptGl'].Fill(track.ptMc(), track.ptGl())
self['etaMc_etaPr'].Fill(track.etaMc(), track.etaPr())
self['etaMc_etaGl'].Fill(track.etaMc(), track.etaGl())
def fillTrack(self, track, tcuts):
if tcuts.eta and tcuts.dca and tcuts.fit and tcuts.pid:
self['pt'].Fill(track.pt())
self['phi'].Fill(track.phi())
self['dEdx'].Fill(track.dEdx() * 1e7)
self['distortedPt'].Fill(distortedPt(track))
if tcuts.eta and tcuts.dca and tcuts.fit and tcuts.pid_bg:
self['pt_bg'].Fill(track.pt())
if tcuts.dca and tcuts.fit and tcuts.pid:
self['eta'].Fill(track.eta())
if tcuts.eta and tcuts.fit and tcuts.pid:
self['dcaG'].Fill(track.globalDca().mag())
if tcuts.eta and tcuts.dca and tcuts.pid:
self['nHitsFit'].Fill(track.nHitsFit())
if tcuts.eta and tcuts.dca and tcuts.fit:
self['nSigmaPion'].Fill(track.nSigmaPion())
def fillTrackJetPair(self, track, tcuts, jet, awayjet=None):
"""all jet-pion correlation studies go here"""
if tcuts.eta and tcuts.dca and tcuts.fit and tcuts.pid:
deta = track.Eta() - jet.Eta()
dphi = track.Phi() - jet.Phi()
#normalize dphi
if dphi < -1.5*math.pi:
dphi = dphi + 2*math.pi
if dphi > 0.5*math.pi:
dphi = dphi - 2*math.pi
self['dphi_deta'].Fill(dphi, deta)
dR = track.DeltaR(jet)
if dR < 0.4:
self.near_mult += 1
self.near_lead_pt = max(self.near_lead_pt, track.Pt())
z = track.Vect().Dot(jet.Vect()) / jet.P()**2
xi = math.log(jet.E() / track.P())
self['z'].Fill(track.Pt(), z)
self['z_jet'].Fill(jet.Pt(), z)
self['xi'].Fill(jet.Pt(), xi)
self['pt_near'].Fill(track.Pt())
elif dR > 1.5:
self.away_mult += 1
self.away_lead_pt = max(self.away_lead_pt, track.Pt())
if awayjet is not None:
z_away = track.Vect().Dot(awayjet.Vect()) / awayjet.P()**2
xi = math.log(awayjet.E() / track.P())
self['z_away'].Fill(track.Pt(), z_away)
self['z_away_jet'].Fill(awayjet.Pt(), z_away)
self['xi_away'].Fill(awayjet.Pt(), xi)
self['pt_away'].Fill(track.Pt())
def histos(self):
val = self.values()
return [v for v in val if v is not None]
def Clear(self):
self.away_mult = 0
self.near_mult = 0
self.away_lead_pt = 0.0
self.near_lead_pt = 0.0
def Add(self, other):
[ h.Add(other[key].h) for key, h in self.items() ]
def Flush(self):
[ h.Flush() for h in self.values() ]
def Write(self):
"""make it persistent"""
[ h.Write() for h in self.values() ]
class HistogramCollection(dict):
"""
convenience class for dealing with multiple histos all filled the same way
"""
mcVzBins = minimc.MiniMcHistos.vzBins
mcPtBins = minimc.MiniMcHistos.ptBins
allKeys = ['nVertices', 'vx_vy', 'vz', 'vzBBC', 'spinBit', 'bx7', 'bbc',
'jet_pt_balance', 'jet_p_balance', 'jet_eta_balance', 'jet_phi_balance',
'cosTheta', 'hardP', 'x1','x2','x1_x2',
'jet_pt', 'lead_neutral', 'inclusive_jet_mult', 'dijet_mult',
'true_jet_pt', 'jet_ptw']
def __init__(self, name, tfile=None, keys=None):
super(HistogramCollection, self).__init__()
if tfile is not None:
for key in self.allKeys:
if keys is None or key in keys:
self[key] = tfile.Get('%s_%s' % (name,key))
else:
if simu:
self['cosTheta'] = Histo(ROOT.TH1D('%s_cosTheta' % name, \
'cos(#Theta)', 200, -1.0, 1.0))
self['hardP'] = Histo(ROOT.TH1D('%s_hardP' % name, \
'partonic p_{T}', 280, 0.0, 70.0))
self['x1'] = Histo(ROOT.TH1D('%s_x1' % name, 'x1', 200, 0., 1.))
self['x2'] = Histo(ROOT.TH1D('%s_x2' % name, 'x2', 200, 0., 1.))
self['x1_x2'] = Histo(ROOT.TH2D('%s_x1_x2' % name, \
'x1 vs. x2', 200, 0., 1., 200, 0., 1.))
self['nVertices'] = Histo(ROOT.TH1D('%s_nVertices' % (name,),'', \
15,-0.5,14.5))
self['vx_vy'] = Histo(ROOT.TH2D('%s_vx_vy' % (name,),'', \
400,-2.0,2.0, 400,-2.0,2.0))
self['vz'] = Histo(ROOT.TH1D('%s_vz' % (name,),'', \
vzBins[0], vzBins[1], vzBins[2]))
self['vzBBC'] = Histo(ROOT.TH1D('%s_vzBBC' % (name,),'', \
vzBins[0], vzBins[1], vzBins[2]))
self['spinBit'] = Histo(ROOT.TH1D('%s_spinBit' % (name,),'', \
17,0.5,16.5))
self['bx7'] = Histo(ROOT.TH1D('%s_bx7' % (name,),'',128,-0.5,127.5))
self['bbc'] = Histo(ROOT.TH1D('%s_bbc' % (name,),'',400,-0.5,399.5))
self['jet_pt_balance'] = Histo(ROOT.TH2D('%s_jet_pt_balance' \
% name,'',200,0.0,50.0, 200,0.0,50.0))
self['jet_p_balance'] = Histo(ROOT.TH2D('%s_jet_p_balance' \
% name,'',200,0.0,50.0, 200,0.0,50.0))
self['jet_eta_balance'] = Histo(ROOT.TH2D('%s_jet_eta_balance' \
% name,'',100,-2.0,2.0, 100,-2.0,2.0))
self['jet_phi_balance'] = Histo(ROOT.TH2D('%s_jet_phi_balance' \
% name,'',100,-math.pi,math.pi, 100,-math.pi,math.pi))
self['jet_pt'] = Histo(ROOT.TH1D('%s_jet_pt' % name, '', \
200, 0.0, 50.0))
self['lead_neutral'] = Histo(ROOT.TH1D('%s_lead_neutral' % name, \
'pT spectrum for neutral leading particles', \
ptBins[0], ptBins[1], ptBins[2]))
self['inclusive_jet_mult'] = Histo(ROOT.TH1D('%s_inclusive_jet_mult'\
% name, '', 15, -0.5, 14.5))
self['dijet_mult'] = Histo(ROOT.TH1D('%s_dijet_mult' % name, '', \
15, -0.5, 14.5))
self['true_jet_pt'] = Histo(ROOT.TH1D('%s_true_jet_pt' % name, '',
200, 0.0, 50.0))
self['jet_ptw'] = Histo(ROOT.TH1D('%s_jet_ptw' % name, '', \
200, 0.0, 50.0))
self.tracks_plus = TrackHistogramCollection('%s_plus' % (name,), \
tfile, keys)
self.tracks_minus = TrackHistogramCollection('%s_minus' % (name,), \
tfile, keys)
self.tracks_sum = TrackHistogramCollection('%s_sum' % (name,), \
tfile, keys)
def fillEvent(self, event, ecuts):
vertex = event.vertex(0)
self['nVertices'].Fill(event.nVertices())
self['bbc'].Fill(event.bbcTimeBin())
if ecuts.vertex:
self['vz'].Fill(vertex.z())
if ecuts.vertex and ecuts.bbc:
self['vx_vy'].Fill(vertex.x(), vertex.y())
self['vzBBC'].Fill(vertex.z())
if not simu:
self['spinBit'].Fill(event.spinBit())
self['bx7'].Fill(event.bx7())
if simu:
self['cosTheta'].Fill(event.cosTheta())
self['hardP'].Fill(event.hardP())
self['x1'].Fill(event.x1())
self['x2'].Fill(event.x2())
self['x1_x2'].Fill(event.x1(), event.x2())
def fillJets(self, triggerJet, awayJet=None):
pt = triggerJet.Pt()
self['jet_pt'].Fill(pt)
self['true_jet_pt'].Fill(shifted(pt))
self['jet_ptw'].Fill(pt, minbias_jet_weight(pt))
if awayJet is not None:
self['jet_pt_balance'].Fill(pt, awayJet.Pt())
self['jet_p_balance'].Fill(triggerJet.P(), awayJet.P())
self['jet_eta_balance'].Fill(triggerJet.Eta(), awayJet.Eta())
self['jet_phi_balance'].Fill(triggerJet.Phi(), awayJet.Phi())
def trackHistograms(self,charge):
if charge == 1: return self.tracks_plus
if charge == -1: return self.tracks_minus
if charge == 0: return self.tracks_sum
return None
def histos(self):
val = self.values()
return [v for v in val if v is not None] + self.tracks_plus.histos() \
+ self.tracks_minus.histos() + self.tracks_sum.histos()
def Add(self, other):
[ h.Add(other[key].h) for key, h in self.items() ]
self.tracks_plus.Add( other.tracks_plus )
self.tracks_minus.Add( other.tracks_minus )
self.tracks_sum.Add( other.tracks_sum )
def Flush(self):
[ h.Flush() for h in self.values() ]
self.tracks_plus.Flush()
self.tracks_minus.Flush()
self.tracks_sum.Flush()
def Write(self):
"""make it persistent"""
[ h.Write() for h in self.values() ]
self.tracks_plus.Write()
self.tracks_minus.Write()
self.tracks_sum.Write()
class HistogramManager(dict):
"""
generates histograms from StChargedPionEvent trees and reads them back
from disk
"""
spinKeys = {5:'uu', 6:'du', 9:'ud', 10:'dd'}
trigSetups = ('96011','96201','96211','96221','96233','hightower',
'jetpatch', 'alltrigs','117001','137221','137222','137611','137622')
def __init__(self, tfile=None, keys=None, triggers=None):
super(HistogramManager, self).__init__()
self.tfile = tfile
if tfile is not None:
self.name = os.path.basename(tfile.GetName())
self.eventCounter = tfile.Get('eventCounter')
else:
self.eventCounter = ROOT.TH1I('eventCounter','',1,-1,1)
self.fill = 0
self.allHistos = []
self.mytriggers = []
if simu:
#spinlist becomes a list of subprocesses
self.spinlist = ('gg','qg','qq','other','anyspin')
for spin in self.spinlist:
self[spin] = {}
setattr(self, spin, self[spin])
for trig in self.trigSetups:
if triggers is None or trig in triggers:
self.mytriggers.append(trig)
self.allHistos.append( HistogramCollection('_%s_%s' \
% (trig, spin), tfile, keys) )
self[spin][trig] = self.allHistos[-1]
else:
self.spinlist = ('uu','ud','du','dd','other','anyspin')
for spin in self.spinlist:
self[spin] = {}
setattr(self, spin, self[spin])
for trig in self.trigSetups:
if triggers is None or trig in triggers:
self.mytriggers.append(trig)
self.allHistos.append( HistogramCollection('_%s_%s' \
% (trig, spin), tfile, keys) )
self[spin][trig] = self.allHistos[-1]
self.mytriggers = analysis.uniqify(self.mytriggers)
def processEvent(self, ev):
"""fill histograms with info from event"""
self.eventCounter.Fill(0)
if sys.version_info[1] >= 4:
sortedTracks = sorted(ev.tracks(), \
lambda t1,t2: t1.Pt()<t2.Pt() and 1 or -1)
else:
sortedTracks = [track for track in ev.tracks()]
sortedTracks.sort(lambda t1,t2: t1.Pt()<t2.Pt() and 1 or -1)
## spin sorting
spin = 'other'
if not simu and ev.isSpinValid():
try: spin = self.spinKeys[ev.spinBit()]
except KeyError: pass
elif simu:
if ev.processId() == 68:
spin = 'gg'
elif ev.processId() == 28:
spin = 'qg'
elif ev.processId() == 11:
spin = 'qq'
## trigger selection -- convert transverse trigger IDs to longitudinal
triggerOk = {}
t = triggerOk
if simu and year == 2005:
for trigId in (96011, 96201, 96211, 96221, 96233):
triggerOk[str(trigId)] = ev.isSimuTrigger(trigId)
triggerOk['%d_hw' % (trigId,)] = False
t['hightower'] = t['96011'] and t['96201']
t['jetpatch'] = t['96011'] and t['96221']
t['alltrigs'] = t['hightower'] or t['jetpatch']
activeTriggers = ('96011', '96201', '96211', '96221', '96233',
'hightower', 'jetpatch', 'alltrigs')
elif simu and year == 2006:
for trigId in (117001, 137221, 137222, 137611, 137622):
triggerOk[str(trigId)] = ev.isSimuTrigger(trigId)
triggerOk['%d_hw' % (trigId,)] = False
t['jetpatch'] = t['117001'] and t['137222']
t['alltrigs'] = t['jetpatch'] or t['137611'] or t['137622']
activeTriggers = ('117001', '137221', '137222', '137611', '137622',
'jetpatch', 'alltrigs')
elif ev.runId() < 7000000:
if ev.isPolLong():
for trigId in (96011, 96201, 96211, 96221, 96233):
t[str(trigId)] = ev.isTrigger(trigId) and \
ev.isSimuTrigger(trigId)
t['%d_hw' % (trigId,)] = ev.isTrigger(trigId)
elif ev.isPolTrans():
for trigId in (106011, 106201, 106211, 106221, 106233):
t[str(trigId-10000)] = ev.isTrigger(trigId) \
and ev.isSimuTrigger(trigId)
t['%d_hw' % (trigId-10000,)]=ev.isTrigger(trigId)
t['hightower'] = t['96011'] or t['96201'] or t['96211']
t['jetpatch'] = t['96011'] or t['96221'] or t['96233']
t['alltrigs'] = t['hightower'] or t['jetpatch']
activeTriggers = ('96011','96201','96211','96221','96233',
'hightower','jetpatch', 'alltrigs')
else:
t['117001'] = ev.isTrigger(117001) and ev.isSimuTrigger(117001)
if ev.isPolLong():
t['137611'] = ev.isTrigger(137611) and ev.isSimuTrigger(137611)
t['137622'] = ev.isTrigger(137622) and ev.isSimuTrigger(137622)
t['jetpatch'] = \
(ev.isTrigger(137221) and ev.isSimuTrigger(137221)) or \
(ev.isTrigger(137222) and ev.isSimuTrigger(137222))
elif ev.isPolTrans():
t['137611'] = ev.isTrigger(127611) and ev.isSimuTrigger(127611)
t['137622'] = ev.isTrigger(127622) and ev.isSimuTrigger(127622)
t['jetpatch']= ev.isTrigger(127221) and ev.isSimuTrigger(127221)
t['alltrigs'] = t['117001'] or t['jetpatch'] or \
t['137611'] or t['137622']
activeTriggers = ('117001', '137611', '137622', 'jetpatch',
'alltrigs')
## event-wise histograms
ecuts = EventCuts(ev)
for trig in activeTriggers:
if triggerOk[trig] and trig in self.mytriggers:
self[spin][trig].fillEvent(ev, ecuts)
## track-wise histograms
if not ecuts.all: return
tcuts = TrackCuts(self.fill)
for track in ev.tracks():
tcuts.set(track)
for trig in activeTriggers:
if triggerOk[trig] and trig in self.mytriggers:
tcoll = self[spin][trig].trackHistograms(track.charge())
tcoll.fillTrack(track, tcuts)
if tcuts.all:
tcoll['vz'].Fill(ev.vertex(0).z())
if ev.runId() < 7000000: