def double_profile(tprofile_x, tprofile_y):
"""creates a graph with points whose x and y values and errors are taken from the bins of two profiles with identical binning"""
## Note: underflow and overflow bins are discarded
if len(tprofile_x) != len(tprofile_y):
raise ValueError(
"Cannot build double profile: x and y profiles "
"have different number or bins ({} and {})".format(
len(tprofile_x) - 2,
len(tprofile_y) - 2))
_dp_graph = Graph(len(tprofile_x) - 2,
type='errors') # symmetric errors
_i_point = 0
for _i_bin, (_bin_proxy_x,
_bin_proxy_y) in enumerate(zip(tprofile_x, tprofile_y)):
# disregard overflow/underflow bins
if _i_bin == 0 or _i_bin == len(tprofile_x) - 1:
continue
if _bin_proxy_y.value:
_dp_graph.SetPoint(_i_point, _bin_proxy_x.value,
_bin_proxy_y.value)
_dp_graph.SetPointError(_i_point, _bin_proxy_x.error,
_bin_proxy_y.error)
_i_point += 1
# remove "unfilled" points
while (_dp_graph.GetN() > _i_point):
_dp_graph.RemovePoint(_dp_graph.GetN() - 1)
return _dp_graph
def get_uncertainty_graph(hnom, curve_uncert):
"""
Convert an histogram and a RooCurve
into a TGraphAsymmError
Parameters
----------
hnom: TH1F, TH1D, ...
The histogram of nominal values
curve_uncert: RooCurve
The uncertainty band around the nominal value
TODO: Improve the handling of the underflow and overflow bins
"""
graph = Graph(hnom.GetNbinsX())
for ibin in xrange(1, hnom.GetNbinsX() + 1):
uncerts = []
for ip in xrange(3, curve_uncert.GetN() - 3):
x, y = ROOT.Double(0.), ROOT.Double(0.)
curve_uncert.GetPoint(ip, x, y)
if hnom.GetBinLowEdge(ibin) <= x < hnom.GetBinLowEdge(ibin + 1):
uncerts.append(y)
log.debug('{0}, bin {1}: {2}'.format(hnom.name, ibin, uncerts))
low, high = min(uncerts), max(uncerts)
bin_center = 0.5 * (hnom.GetBinLowEdge(ibin + 1) +
hnom.GetBinLowEdge(ibin))
e_x_low = bin_center - hnom.GetBinLowEdge(ibin)
e_x_high = hnom.GetBinLowEdge(ibin + 1) - bin_center
bin_content = hnom.GetBinContent(ibin)
e_y_low = hnom.GetBinContent(ibin) - low
e_y_high = high - hnom.GetBinContent(ibin)
graph.SetPoint(ibin - 1, bin_center, bin_content)
graph.SetPointError(ibin - 1, e_x_low, e_x_high, e_y_low, e_y_high)
return graph
def remap_x_values(hist, corr_hist):
"""
Map the x values of hist to the y values of map_hist.
In order to do so, it is necessary that the x values of hist are also present as x-values in map_hist.
Parameters
----------
hist : Hist1D
corr_hist : Hist2D
Correlations between the quantity on hist's x-axis (also corr_hist's xaxis) and the new
quantity to plot agains (on corr_hist's y-axis.
Returns
-------
Graph
Graph of the remapped hist. Errors are ??? TODO
"""
hist = asrootpy(hist)
corr_hist = asrootpy(corr_hist)
profx = asrootpy(corr_hist.ProfileX(gen_random_name()))
rt_graph = Graph()
for i, (nch_ref_bin,
counter_bin) in enumerate(zip(profx.bins(), hist.bins())):
rt_graph.SetPoint(i, nch_ref_bin.value, counter_bin.value)
xerr, yerr = nch_ref_bin.error / 2.0, counter_bin.error / 2.0
rt_graph.SetPointError(i, xerr, xerr, yerr, yerr)
return rt_graph
def grrScale(gr1, scale):
x1 = Double()
x_ = Double()
x1e = Double()
y1 = Double()
y1e = Double()
y = []
ex = []
ey = []
NC = gr1.GetN()
x = [0 for i in range(NC)]
for ii in range(NC):
x1e = gr1.GetErrorX(ii)
y1e = gr1.GetErrorY(ii)
gr1.GetPoint(ii, x_, y1)
x1 = x_ * 1.0
x[ii] = x1
y.append(y1 * scale)
ex.append(x1e)
ey.append(y1e * scale)
gr = Graph(NC)
for x0, y0, x0e, y0e, i in zip(x, y, ex, ey, range(NC)):
gr.SetPoint(i, x0, y0)
gr.SetPointError(i, x0e, x0e, y0e, y0e)
return gr
def get_mean_rms(category, var):
gr_mean = Graph(len(SIGNALS_14TEV))
gr_rms = Graph(len(SIGNALS_14TEV))
for ip, signal in enumerate(SIGNALS_14TEV):
with root_open('efficiencies/eff_presel_{0}_v{1}.root'.format(
signal, VERSION)) as fsig:
h_s = fsig[category].Get('h_' + category + '_' + var['name'])
gr_mean.SetPoint(ip, DATASETS[signal]['mu'], h_s.GetMean())
gr_mean.SetPointError(ip, 0, 0, h_s.GetMeanError(),
h_s.GetMeanError())
gr_rms.SetPoint(ip, DATASETS[signal]['mu'], h_s.GetRMS())
gr_rms.SetPointError(ip, 0, 0, h_s.GetRMSError(),
h_s.GetRMSError())
gr_mean.xaxis.title = 'Average Interactions Per Bunch Crossing'
gr_mean.yaxis.title = 'Mean of ' + get_label(var)
gr_rms.xaxis.title = 'Average Interactions Per Bunch Crossing'
gr_rms.yaxis.title = 'RMS of ' + get_label(var)
return gr_mean, gr_rms
def addConstantError(gr1, error, **kwargs):
x_ = Double()
x1e = Double()
y1_ = Double()
y1e = Double()
NC = gr1.GetN()
y2 = [0 for i in range(NC)]
ex = []
ey = []
x = [0 for i in range(NC)]
gr = Graph(NC)
for ii in range(NC):
x1e = gr1.GetErrorX(ii)
y1e = gr1.GetErrorY(ii)
gr1.GetPoint(ii, x_, y1_)
print("{} {} {}".format(i, x_, y1_))
x1 = x_ * 1.0
x[ii] = x1
y1 = y1_ * 1.0
y2[ii] = y1
print("Append y with {}".format(y1))
print(y2)
ex.append(x1e)
if (kwargs.get('rel'), False):
ey.append(math.sqrt(y1e**2 + (error * y1)**2))
print("Old error: {}, New Error: {}".format(
y1e, math.sqrt(y1e**2 + (error * y1)**2)))
else:
ey.append(math.sqrt(y1e**2 + error**2))
# gr.SetPoint(i,x1,y1)
# print("Set point {} {},{}".format(i,x1,y1))
#
# if(kwargs.get('rel'),False):
# gr.SetPointError(i,x1e,x1e,math.sqrt(y1e**2+(error*y1)**2),math.sqrt(y1e**2+(error*y1)**2))
# print("Set point Error {} {},{}".format(i,x1e,math.sqrt(y1e**2+(error*y1)**2)))
# else:
# gr.SetPointError(i,x1e,x1e,math.sqrt(y1e**2+error**2),math.sqrt(y1e**2+error**2))
gr = Graph(NC)
print(x)
print(y2)
print(ex)
print(ey)
for x0, y0, x0e, y0e, i in zip(x, y2, ex, ey, range(NC)):
gr.SetPoint(i, x0, y0)
print("Set point {} {},{}".format(i, x0, y0))
gr.SetPointError(i, x0e, x0e, y0e, y0e)
print("Set point Error {} {},{}".format(i, x0e, y0e))
print(gr)
return gr
def draw_curve_7(_func, name, title, ylow, yhigh):
""" Draw 7TeV trigger efficiency curves """
graphs = []
for (trigger, color) in triggers:
tool = ROOT.TauTriggerCorrections(
os.path.join(base, 'triggerSF_%s.root' % trigger))
func = getattr(tool, _func)
eff = map(lambda x: func(x, 0), pt)
eff_low = map(lambda x: func(x, -1), pt)
eff_high = map(lambda x: func(x, 1), pt)
graph = Graph(len(pt), name=trigger)
for i, (p, e, e_low,
e_high) in enumerate(zip(pt, eff, eff_low, eff_high)):
graph.SetPoint(i, p / 1000, e)
graph.SetPointError(i, 0.4, 0.4, e - e_low, e_high - e)
graph.linecolor = color
graph.linewidth = 2
graph.fillstyle = '/'
graph.fillcolor = color
graphs.append(graph)
c = Canvas()
leg = Legend(len(graphs),
pad=c,
topmargin=0.4,
leftmargin=0.3,
textsize=25,
margin=0.2)
for i, g in enumerate(graphs):
if i == 0:
g.Draw('3AC')
g.xaxis.title = '#font[52]{p}_{T} [GeV]'
g.xaxis.SetLimits(20, 100)
g.yaxis.SetLimits(ylow, yhigh)
g.yaxis.SetRangeUser(ylow, yhigh)
g.yaxis.title = title
else:
g.Draw('3C SAME')
leg.AddEntry(g, g.name, 'L')
leg.Draw()
lines = []
for thresh in (25, 35):
line = Line(thresh, ylow, thresh, yhigh)
line.linestyle = 'dashed'
line.linewidth = 2
line.Draw()
lines.append(line)
c.SaveAs('trigger_{0}.png'.format(name))
c.SaveAs('trigger_{0}.eps'.format(name))
def get_rebinned_graph(graph_origin, binning=None):
if binning is None:
return graph_origin
graph_rebin = Graph(len(binning) - 1)
if len(graph_origin) != len(graph_rebin):
log.warning('uniform: {0} bins != rebinned: {1} bins'.format(
len(graph_origin), len(graph_rebin)))
raise RuntimeError('wrong binning')
for ipoint, (y,
yerr) in enumerate(zip(graph_origin.y(),
graph_origin.yerr())):
x_rebin_err = 0.5 * (binning[ipoint + 1] - binning[ipoint])
x_rebin = binning[ipoint] + x_rebin_err
graph_rebin.SetPoint(ipoint, x_rebin, y)
graph_rebin.SetPointError(ipoint, x_rebin_err, x_rebin_err, yerr[0],
yerr[1])
return graph_rebin
def UncertGraph(hnom, curve_uncert):
"""
Convert an histogram and a RooCurve
into a TGraphAsymmError
Parameters
----------
hnom: TH1F, TH1D,...
The histogram of nominal values
curve_uncert: RooCurve
The uncertainty band around the nominal value
curve_uncert: RooCurve
TODO: Improve the handling of the underflow and overflow bins
"""
graph = Graph(hnom.GetNbinsX())
# ---------------------------------------------
for ibin in xrange(1, hnom.GetNbinsX() + 1):
uncerts = []
for ip in xrange(3, curve_uncert.GetN() - 3):
x, y = ROOT.Double(0.), ROOT.Double(0.)
curve_uncert.GetPoint(ip, x, y)
if int(x) == int(hnom.GetBinLowEdge(ibin)):
uncerts.append(y)
uncerts.sort()
log.info('{0}: {1}'.format(hnom.name, uncerts))
if len(uncerts) != 2:
for val in uncerts:
if val in uncerts:
uncerts.remove(val)
if len(uncerts) != 2:
raise RuntimeError(
'Need exactly two error values and got {0}'.format(uncerts))
bin_center = 0.5 * (hnom.GetBinLowEdge(ibin + 1) +
hnom.GetBinLowEdge(ibin))
e_x_low = bin_center - hnom.GetBinLowEdge(ibin)
e_x_high = hnom.GetBinLowEdge(ibin + 1) - bin_center
bin_content = hnom.GetBinContent(ibin)
e_y_low = hnom.GetBinContent(ibin) - uncerts[0]
e_y_high = uncerts[1] - hnom.GetBinContent(ibin)
graph.SetPoint(ibin - 1, bin_center, bin_content)
graph.SetPointError(ibin - 1, e_x_low, e_x_high, e_y_low, e_y_high)
# ---------------------------------------------
return graph
def makeSystError(gr1, gr2, **kwargs):
x_ = Double()
x1e = Double()
x2 = Double()
x2e = Double()
y1 = Double()
y1e = Double()
y2 = Double()
y2e = Double()
NC = gr1.GetN()
print("Number of points: {}".format(NC))
y = []
ex = []
ey = []
x = [0 for i in range(NC)]
for ii in range(NC):
x1e = gr1.GetErrorX(ii)
y1e = gr1.GetErrorY(ii)
gr1.GetPoint(ii, x_, y1)
x1 = x_ * 1.0
gr2.GetPoint(ii, x2, y2)
x2e = gr2.GetErrorX(ii)
y2e = gr2.GetErrorY(ii)
x[ii] = x1
if (kwargs.get('abs', False)):
y.append(math.fabs(y1 - y2))
elif (kwargs.get('rel', False)):
y.append((y1 - y2) / (y1 + y2))
else:
y.append(y1 - y2)
ex.append(x1e)
ey.append(math.sqrt(y1e**2 + y2e**2))
gr = Graph(NC)
for x0, y0, x0e, y0e, i in zip(x, y, ex, ey, range(NC)):
gr.SetPoint(i, x0, y0)
print("Set point {} {},{}".format(i, x0, y0))
gr.SetPointError(i, x0e, x0e, y0e, y0e)
return gr
def grrDivide(gr1, gr2):
x1 = Double()
x_ = Double()
x1e = Double()
x2 = Double()
x2e = Double()
y1 = Double()
y1e = Double()
y2 = Double()
y2e = Double()
test = []
y = []
ex = []
ey = []
NC = gr1.GetN()
x = [0 for i in range(NC)]
test = [0 for i in range(NC)]
for ii in range(NC):
x1e = gr1.GetErrorX(ii)
y1e = gr1.GetErrorY(ii)
gr1.GetPoint(ii, x_, y1)
x1 = x_ * 1.0
gr2.GetPoint(ii, x2, y2)
x2e = gr2.GetErrorX(ii)
y2e = gr2.GetErrorY(ii)
x[ii] = x1
y.append(y1 / y2 if y2 != 0 else 0)
ex.append(x2e)
ey.append(
math.sqrt(pow(y1e / y2, 2) + pow(y1 * y2e /
(y2 * y2), 2)) if y2 != 0 else 0)
gr = Graph(NC)
for x0, y0, x0e, y0e, i in zip(x, y, ex, ey, range(NC)):
gr.SetPoint(i, x0, y0)
gr.SetPointError(i, x0e, x0e, y0e, y0e)
return gr
def main(args):
fileList = glob('/data/nawoods/lepsForSIP/*.root')
files = {int(f.split('_M')[1].split('.')[0]) : f for f in fileList}
checkers = {m : MuonSIPChecker('m={}'.format(m), [f]) for m,f in files.iteritems()}
sipRMS = Graph(len(fileList), type='errors')
sipHists = []
dxyRMS = Graph(len(fileList), type='errors')
dxyHists = []
dzRMS = Graph(len(fileList), type='errors')
dzHists = []
ipHists = []
ipErrHists = []
fracFailing = Graph(len(fileList), type='errors')
for i, m in enumerate(sorted(files.keys())):
checkers[m].processSample()
checkers[m].hists['sip'].Sumw2()
sipRMS.SetPoint(i, float(m), checkers[m].hists['sip'].GetRMS())
sipRMS.SetPointError(i, 0., checkers[m].hists['sip'].GetRMSError())
sipHists.append(checkers[m].hists['sip'])
sipHists[-1].color = getColor(m)
sipHists[-1].title = "m_{{H}} = {}".format(m)
sipHists[-1].drawstyle = 'hist'
sipHists[-1].legendstyle = 'L'
sipHists[-1].linewidth = 2
sipHists[-1].scale(1./sipHists[-1].integral())
ipHists.append(checkers[m].hists['ip'])
ipHists[-1].color = getColor(m)
ipHists[-1].title = "m_{{H}} = {}".format(m)
ipHists[-1].drawstyle = 'hist'
ipHists[-1].legendstyle = 'L'
ipHists[-1].linewidth = 2
ipHists[-1].scale(1./ipHists[-1].integral())
ipErrHists.append(checkers[m].hists['ipErr'])
ipErrHists[-1].color = getColor(m)
ipErrHists[-1].title = "m_{{H}} = {}".format(m)
ipErrHists[-1].drawstyle = 'hist'
ipErrHists[-1].legendstyle = 'L'
ipErrHists[-1].linewidth = 2
ipErrHists[-1].scale(1./ipErrHists[-1].integral())
checkers[m].hists['dxy'].Sumw2()
dxyRMS.SetPoint(i, float(m), checkers[m].hists['dxy'].GetRMS())
dxyRMS.SetPointError(i, 0., checkers[m].hists['dxy'].GetRMSError())
dxyHists.append(checkers[m].hists['dxy'])
dxyHists[-1].color = getColor(m)
dxyHists[-1].title = "m_{{H}} = {}".format(m)
dxyHists[-1].drawstyle = 'hist'
dxyHists[-1].legendstyle = 'L'
dxyHists[-1].linewidth = 2
dxyHists[-1].scale(1./dxyHists[-1].integral())
checkers[m].hists['dz'].Sumw2()
dzRMS.SetPoint(i, float(m), checkers[m].hists['dz'].GetRMS())
dzRMS.SetPointError(i, 0., checkers[m].hists['dz'].GetRMSError())
dzHists.append(checkers[m].hists['dz'])
dzHists[-1].color = getColor(m)
dzHists[-1].title = "m_{{H}} = {}".format(m)
dzHists[-1].drawstyle = 'hist'
dzHists[-1].legendstyle = 'L'
dzHists[-1].linewidth = 2
dzHists[-1].scale(1./dzHists[-1].integral())
fracFailing.SetPoint(i, float(m),
1. - float(checkers[m].nPassSIP) / checkers[m].nTot)
cSIP = Canvas(1000,1000)
draw(sipHists, cSIP, xtitle='#frac{IP_{3D}}{#sigma_{IP_{3D}}}',
ytitle='arb.')
legSIP = Legend(sipHists, cSIP, textsize=.03, entrysep=0.015, leftmargin=0.6, entryheight=0.04)
legSIP.Draw("same")
cSIP.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/sips.png')
cSIPLog = Canvas(1000,1000)
draw(sipHists, cSIPLog, xtitle='#frac{IP_{3D}}{#sigma_{IP_{3D}}}',
ytitle='arb.', logy=True)
legSIPLog = Legend(sipHists, cSIPLog, textsize=.027, entrysep=0.012, leftmargin=0.6, entryheight=0.03)
legSIPLog.Draw("same")
cSIPLog.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/sipsLog.png')
cSIPRMS = Canvas(1000, 1000)
sipRMS.color = 'b'
sipRMS.drawstyle = 'PE'
sipRMS.legendstyle = 'PE'
draw(sipRMS, cSIPRMS, xtitle="m_{H}", ytitle="RMS(SIP_{3D})", xlimits=(0.,2600.))
cSIPRMS.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/sipRMS.png')
cIP = Canvas(1000,1000)
draw(ipHists, cIP, xtitle='IP_{3D}',
ytitle='arb.')
legIP = Legend(ipHists, cIP, textsize=.03, entrysep=0.015, leftmargin=0.6, entryheight=0.04)
legIP.Draw("same")
cIP.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/ips.png')
cIPLog = Canvas(1000,1000)
draw(ipHists, cIPLog, xtitle='#frac{IP_{3D}}{#sigma_{IP_{3D}}}',
ytitle='arb.', logy=True)
legIPLog = Legend(ipHists, cIPLog, textsize=.027, entrysep=0.012, leftmargin=0.6, entryheight=0.03)
legIPLog.Draw("same")
cIPLog.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/ipsLog.png')
cIPErr = Canvas(1000,1000)
draw(ipErrHists, cIPErr, xtitle='#sigma_{IP_{3D}}',
ytitle='arb.')
legIPErr = Legend(ipErrHists, cIPErr, textsize=.03, entrysep=0.015, leftmargin=0.6, entryheight=0.04)
legIPErr.Draw("same")
cIPErr.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/ipErrs.png')
cIPErrLog = Canvas(1000,1000)
draw(ipErrHists, cIPErrLog, xtitle='#sigma_{IP_{3D}}',
ytitle='arb.', logy=True)
legIPErrLog = Legend(ipErrHists, cIPErrLog, textsize=.027, entrysep=0.012, leftmargin=0.6, entryheight=0.03)
legIPErrLog.Draw("same")
cIPErrLog.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/ipErrsLog.png')
cFail = Canvas(1000, 1000)
fracFailing.color = 'b'
fracFailing.drawstyle = 'PE'
fracFailing.legendstyle = 'PE'
draw(fracFailing, cSIPRMS, xtitle="m_{H}", ytitle="Fraction failing SIP", xlimits=(0.,2600.))
cSIPRMS.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/fracFailing.png')
cDXY = Canvas(1000,1000)
draw(dxyHists, cDXY, xtitle='#Delta_{xy}',
ytitle='arb.')
legDXY = Legend(dxyHists, cDXY, textsize=.03, entrysep=0.015, leftmargin=0.6, entryheight=0.04)
legDXY.Draw("same")
cDXY.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/dxys.png')
cDXYRMS = Canvas(1000, 1000)
dxyRMS.color = 'b'
dxyRMS.drawstyle = 'PE'
dxyRMS.legendstyle = 'PE'
draw(dxyRMS, cDXYRMS, xtitle="m_{H}", ytitle="RMS(#Delta_{xy})", xlimits=(0.,2600.))
cDXYRMS.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/dxyRMS.png')
cDZ = Canvas(1000,1000)
draw(dzHists, cDZ, xtitle='#Delta_{z}',
ytitle='arb.')
legDZ = Legend(dzHists, cDZ, textsize=.03, entrysep=0.015, leftmargin=0.6, entryheight=0.04)
legDZ.Draw("same")
cDZ.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/dzs.png')
cDZRMS = Canvas(1000, 1000)
dzRMS.color = 'b'
dzRMS.drawstyle = 'PE'
dzRMS.legendstyle = 'PE'
draw(dzRMS, cDZRMS, xtitle="m_{H}", ytitle="RMS(#Delta_{z})", xlimits=(0.,2600.))
cDZRMS.Print('/afs/cern.ch/user/n/nawoods/www/sipStudy/dzRMS.png')
def main():
print('Number of arguments: ', len(sys.argv), 'arguments.')
print('Argument list:', str(sys.argv))
filename = sys.argv[1]
if len(sys.argv) > 2:
fileData = sys.argv[2]
else:
fileData = None
print("Input file: ")
print(filename)
Njets = 9
if fileData is not None:
fD = root_open(fileData, 'read')
iS = 0
gGausRMSData = fD.Get("gGausRMS{:02d}".format(iS))
gGausRMSerrData = fD.Get("gGausRMS{:02d}_Systematics".format(iS))
gGausYieldData = fD.Get("gGausYield{:02d}".format(iS))
gGausYielderrData = fD.Get("gGausYield{:02d}_Systematics".format(iS))
gGammaRMSData = fD.Get("gGammaRMS{:02d}".format(iS))
gGammaRMSerrData = fD.Get("gGammaRMS{:02d}_Systematics".format(iS))
gGammaYieldData = fD.Get("gGammaYield{:02d}".format(iS))
gGammaYielderrData = fD.Get("gGammaYield{:02d}_Systematics".format(iS))
with root_open(filename, 'read') as f:
FullJets_jT = []
colors = (1, 2, 3)
for iF, c in zip((8, 6, 7), colors):
jT = [
f.get(
'AliJJetJtTask/AliJJetJtHistManager/JetConeJtWeightBin/JetConeJtWeightBinNFin{:02d}JetPt{:02d}'
.format(iF, ij)) for ij in range(Njets)
]
bgJt = [
f.get(
'AliJJetJtTask/AliJJetJtHistManager/BgJtWeightBin/BgJtWeightBinNFin{:02d}JetPt{:02d}'
.format(iF, ij)) for ij in range(Njets)
]
jetPtBin = [
f.get(
'AliJJetJtTask/AliJJetJtHistManager/JetPtBin/JetPtBinNFin{:02d}JetPt{:02d}'
.format(iF, ij)) for ij in range(Njets)
]
nJets = [h.Integral() for h in jetPtBin]
nBgs = [
f.get(
'AliJJetJtTask/AliJJetJtHistManager/BgTrkNumberBin/BgTrkNumberBinNFin{:02d}JetPt{:02d}'
.format(iF, ij)).Integral() for ij in range(Njets)
]
FullJets_jT.append(jT)
#FullJets_bgJt.append(bgJt)
#FullJets_jetPtBin.append(jetPtBin)
for j, b, nj, nb in zip(jT, bgJt, nJets, nBgs):
j.Rebin(2)
b.Rebin(2)
j.Scale(1.0 / nj, "width")
b.Scale(1.0 / nb, "width")
j.SetMarkerColor(c)
b.SetMarkerColor(c)
j.Add(b, -1.0)
jetPt = [
(int(
re.search(r'p_{T,jet} : ([\d]*)\.[\d] - ([\d]*).[\d]*',
h.GetTitle(), re.M | re.I).group(1)),
int(
re.search(r'p_{T,jet} : ([\d]*)\.[\d] - ([\d]*).[\d]*',
h.GetTitle(), re.M | re.I).group(2)))
for h in FullJets_jT[0]
] #Use regular expressions to extract jet pT range from histogram titles
jetPtCenter = array('d', [(a + b) / 2.0 for a, b in jetPt])
jetPtErrors = array('d', [(b - a) / 2.0 for a, b in jetPt])
print(jetPt, type(jetPt))
print(jetPtCenter, type(jetPtCenter))
print(jetPtErrors, type(jetPtErrors))
FullJets_fit = []
FullJets_parameters = []
FullJets_gausRMS = []
FullJets_gammaRMS = []
FullJets_gausYield = []
FullJets_gammaYield = []
for jT in FullJets_jT:
gausRMS = []
gammaRMS = []
gausRMSe = []
gammaRMSe = []
gausYield = []
gammaYield = []
gausYielde = []
gammaYielde = []
fits = []
parameters = []
for h, i in zip(jT, range(Njets)):
fit, d = fitJtHisto(h, '', 1, i, 8)
fits.append(fit)
parameters.append(d)
gausRMS.append(d['gausRMS'])
gausRMSe.append(d['gausRMSe'])
gammaRMS.append(d['gammaRMS'])
gammaRMSe.append(d['gammaRMSe'])
gausYield.append(d['gausYield'])
gausYielde.append(d['gausYielde'])
gammaYield.append(d['gammaYield'])
gammaYielde.append(d['gammaYielde'])
gausRMSg = Graph(len(gausRMS) - 2)
gammaRMSg = Graph(len(gammaRMS) - 2)
gausYieldg = Graph(len(gausYield) - 2)
gammaYieldg = Graph(len(gammaYield) - 2)
for h, he, g in zip((gausYield, gammaYield),
(gausYielde, gammaYielde),
(gausYieldg, gammaYieldg)):
for x, xe, a, e, i in zip(jetPtCenter[2:],
jetPtErrors[2:], h[2:], he[2:],
range(len(gausRMS) - 2)):
g.SetPoint(i, x, a)
g.SetPointError(i, xe, xe, e, e)
for a, b, c, d, e, f, i in zip(gausRMS[2:], gammaRMS[2:],
gausRMSe[2:], gammaRMSe[2:],
jetPtCenter[2:], jetPtErrors[2:],
range(len(gausRMS) - 2)):
gausRMSg.SetPoint(i, e, a)
gausRMSg.SetPointError(i, f, f, c, c)
gammaRMSg.SetPoint(i, e, b)
gammaRMSg.SetPointError(i, f, f, d, d)
FullJets_gausRMS.append(gausRMSg)
FullJets_gammaRMS.append(gammaRMSg)
FullJets_gausYield.append(gausYieldg)
FullJets_gammaYield.append(gammaYieldg)
FullJets_fit.append(fits)
FullJets_parameters.append(parameters)
if fileData is not None:
FullJets_gausRMS.append(gGausRMSData)
FullJets_gammaRMS.append(gGammaRMSData)
FullJets_gausYield.append(gGausYieldData)
FullJets_gammaYield.append(gGammaYieldData)
fig, axs = plt.subplots(2, 1, figsize=(7, 7))
ax = axs[0]
ax.set_xlim([0.1, 15])
ax.set_ylim([5e-6, 2e3])
ax.set_xlabel(r'$j_{T}\left(GeV/c\right)$', fontsize=labelsize)
ax.set_ylabel(r'$\frac{1}{N_{jets}}\frac{dN}{j_{T}dj_{T}}$',
fontsize=labelsize)
ratios = []
ax.set_xscale('log')
ax.set_yscale('log')
for h, c, R in zip(FullJets_jT, (0, 1, 2, 3), Rs):
h[6].SetMarkerColor(colors[c])
h[6].SetMarkerStyle(styles[c])
h[6].SetLineColor(colors[c])
ratio = h[6].Clone()
ratio.Divide(FullJets_jT[1][6])
ratios.append(ratio)
plot = rplt.errorbar(h[6],
xerr=False,
emptybins=False,
label='R = {:.1f}'.format(R),
axes=ax,
fmt='+')
line = plot.get_children()[0]
line.set_markersize(mSize)
if (styles[c] > 23):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(colors[c])
ax.text(
0.15,
0.001,
'Pythia \n Full Jets\n' + r'Anti-$k_T$' + '\n' +
r'$p_{{T,\mathrm{{jet}}}}$: {:02d}-{:02d} GeV/c'.format(60, 80),
fontsize=10)
handles, labels = ax.get_legend_handles_labels()
handles = [
container.ErrorbarContainer(h, has_xerr=False, has_yerr=True)
if isinstance(h, container.ErrorbarContainer) else h
for h in handles
]
ax.legend(handles,
labels,
loc='upper right',
numpoints=1,
prop={'family': 'monospace'})
#ax.legend(loc = 'upper right')
ax.set_xlim([0.1, 15])
ax.set_ylim([5e-6, 2e3])
ax.grid(True)
ax = axs[1]
ax.grid(True)
ax.set_xlabel(r'$j_{T}\left[GeV\right]$', fontsize=labelsize)
ax.set_ylabel('Ratio',
fontsize=labelsize) #Add x-axis labels for bottom row
for ratio, c in zip(ratios, (0, 1, 2, 3)):
#ratio.SetMarkerColor(c)
#ratio.SetMarkerStyle(24)
plot = rplt.errorbar(ratio, xerr=False, emptybins=False, axes=ax)
line = plot.get_children()[0]
line.set_markersize(mSize)
if (styles[c] > 23):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(colors[c])
ax.set_xlim([0.1, 15])
ax.set_ylim([0.1, 3])
ax.set_xscale('log')
plt.tight_layout()
plt.subplots_adjust(wspace=0,
hspace=0) #Set space between subfigures to 0
plt.savefig("PythonFigures/RcomparisonSignalPt6080.pdf".format(file),
format='pdf') #Save figure
plt.show() #Draw figure on screen
drawWithErrors2Combined(FullJets_gausRMS,
FullJets_gammaRMS,
15,
500,
1,
0,
1.65,
0,
r'jet $p_T (GeV/c)$',
r'$\sqrt{\left<j_T^2\right>}$',
'Pythia',
'PythonFigures/RcomparisonRMS',
separate=True)
return
drawWithErrors2Combined(
FullJets_gausYield,
FullJets_gammaYield,
15,
500,
1,
0,
10,
0,
r'jet $p_T$',
r'Yield',
'Pythia',
'PythonFigures/RcomparisonYield',
)
ratios = []
for hists in FullJets_jT:
if hists is not None:
ratio = []
for h, true in zip(hists, FullJets_jT[1]):
h2 = h.Clone()
h2.Divide(true)
ratio.append(h2)
else:
ratio = None
ratios.append(ratio)
fig, axs = defs.makegrid(4,
2,
xlog=True,
ylog=False,
d=d,
shareY=False)
axs = axs.reshape(8)
axs[4].set_ylabel("Ratio to R = 0.4", fontsize=labelsize)
axs[7].set_ylabel("Ratio to R = 0.4", fontsize=labelsize)
axs[1].text(
0.02,
0.005, 'Pythia\n'
r'pPb $\sqrt{s_{NN}} = 5.02 \mathrm{TeV}$'
'\n Full jets \n'
r'Anti-$k_T$',
fontsize=7
) #Add text to second subfigure, first parameters are coordinates in the drawn scale/units
for hists, R in zip(FullJets_jT, Rs):
for jT, ax, i, pT in zip(hists[2:], axs[0:4], range(0, 9),
jetPt[2:]):
rplt.errorbar(jT,
emptybins=False,
xerr=False,
label="R = {:.1f}".format(R),
axes=ax,
fmt='o') #Plot jT histogram,
ax.text(
0.3, 1e2, r'$p_{{T,\mathrm{{jet}}}}$:'
'\n'
r' {:02d}-{:02d} GeV'.format(pT[0], pT[1]))
ax.set_xlim([0.01, 20]) #Set x-axis limits
ax.set_ylim([5e-4, 2e3]) #Set y-axis limits
ax.set_yscale('log')
ax.grid(True)
for ratio in ratios:
for r, ax in zip(ratio[2:], axs[4:8]):
rplt.errorbar(r, axes=ax, emptybins=False, xerr=False)
ax.set_xlim([0.01, 20])
ax.set_ylim([0.1, 3])
ax.grid(True)
axs[0].legend(loc='lower left')
plt.savefig("PythonFigures/RcomparisonSignal.pdf",
format='pdf') #Save figure
plt.show() #Draw figure on screen
def main():
print("Number of arguments: ", len(sys.argv), "arguments.")
print("Argument list:", str(sys.argv))
filename = sys.argv[1]
if len(sys.argv) > 2:
fileData = sys.argv[2]
else:
fileData = None
print("Input file: ")
print(filename)
Njets = 9
# FullJets_R04 = dataset("FullR04",NFIN=6,filename=filename,directory='AliJJetJtTask/AliJJetJtHistManager',color=2,style=24,rebin=5)
# FullJets_R05 = dataset("FullR05",NFIN=7,filename=filename,directory='AliJJetJtTask/AliJJetJtHistManager',color=3,style=24,rebin=5)
# FullJets_R03 = dataset("FullR06",NFIN=8,filename=filename,directory='AliJJetJtTask/AliJJetJtHistManager',color=4,style=24,rebin=5)
if fileData is not None:
fD = root_open(fileData, "read")
iS = 0
gGausRMSData = fD.Get("gGausRMS{:02d}".format(iS))
gGausRMSerrData = fD.Get("gGausRMS{:02d}_Systematics".format(iS))
gGausYieldData = fD.Get("gGausYield{:02d}".format(iS))
gGausYielderrData = fD.Get("gGausYield{:02d}_Systematics".format(iS))
gGammaRMSData = fD.Get("gGammaRMS{:02d}".format(iS))
gGammaRMSerrData = fD.Get("gGammaRMS{:02d}_Systematics".format(iS))
gGammaYieldData = fD.Get("gGammaYield{:02d}".format(iS))
gGammaYielderrData = fD.Get("gGammaYield{:02d}_Systematics".format(iS))
# errGraph = [fD.Get('JetConeJtWeightBinNFin{:02d}JetPt{:02d}_Systematics'.format(iS,i)) for i in range(2,Njets)] #Get jT histograms from file an array
# hJtSignalGraph = [fD.Get('JetConeJtWeightBinNFin{:02d}JetPt{:02d}_Statistics'.format(iS,i)) for i in range(2,Njets)] #Get jT histograms from file an array
with root_open(filename, "read") as fin:
FullJets_jT = []
FullJets_fit = []
FullJets_parameters = []
FullJets_gausRMS = []
FullJets_gammaRMS = []
FullJets_gausYield = []
FullJets_gammaYield = []
colors = (1, 2, 3)
for iF in (6, 7, 8):
# iF = 8
c = 1
jT = [
fin.get(
"AliJJetJtTask/AliJJetJtHistManager/JetConeJtWeightBin/JetConeJtWeightBinNFin{:02d}JetPt{:02d}"
.format(iF, ij)) for ij in range(Njets)
]
bgJt = [
fin.get(
"AliJJetJtTask/AliJJetJtHistManager/BgJtWeightBin/BgJtWeightBinNFin{:02d}JetPt{:02d}"
.format(iF, ij)) for ij in range(Njets)
]
jetPtBin = [
fin.get(
"AliJJetJtTask/AliJJetJtHistManager/JetPtBin/JetPtBinNFin{:02d}JetPt{:02d}"
.format(iF, ij)) for ij in range(Njets)
]
nJets = [h.Integral() for h in jetPtBin]
nBgs = [
fin.get(
"AliJJetJtTask/AliJJetJtHistManager/BgTrkNumberBin/BgTrkNumberBinNFin{:02d}JetPt{:02d}"
.format(iF, ij)).Integral() for ij in range(Njets)
]
FullJets_jT.append(jT)
for j, b, nj, nb in zip(jT, bgJt, nJets, nBgs):
j.Rebin(4)
b.Rebin(4)
j.Scale(1.0 / nj, "width")
b.Scale(1.0 / nb, "width")
j.SetMarkerColor(c)
b.SetMarkerColor(c)
j.Add(b, -1.0)
print(h.GetTitle())
jetPt = [
(
int(
re.search(
r"p_{T,jet} : ([\d]*)\.[\d] - ([\d]*).[\d]*",
h.GetTitle(),
re.M | re.I,
).group(1)),
int(
re.search(
r"p_{T,jet} : ([\d]*)\.[\d] - ([\d]*).[\d]*",
h.GetTitle(),
re.M | re.I,
).group(2)),
) for h in FullJets_jT[0]
] # Use regular expressions to extract jet pT range from histogram titles
jetPtCenter = array("d", [(a + b) / 2.0 for a, b in jetPt])
jetPtErrors = array("d", [(b - a) / 2.0 for a, b in jetPt])
print(jetPt, type(jetPt))
print(jetPtCenter, type(jetPtCenter))
print(jetPtErrors, type(jetPtErrors))
for i, jT in enumerate(FullJets_jT):
print(i)
print(jT)
gausRMS = []
gammaRMS = []
gausRMSe = []
gammaRMSe = []
gausYield = []
gammaYield = []
gausYielde = []
gammaYielde = []
fits = []
parameters = []
for h, i in zip(jT, range(Njets)):
fit, d = fitJtHisto(h, "", 1, i, 8)
fits.append(fit)
parameters.append(d)
gausRMS.append(d["gausRMS"])
gausRMSe.append(d["gausRMSe"])
gammaRMS.append(d["gammaRMS"])
gammaRMSe.append(d["gammaRMSe"])
gausYield.append(d["gausYield"])
gausYielde.append(d["gausYielde"])
gammaYield.append(d["gammaYield"])
gammaYielde.append(d["gammaYielde"])
gausRMSg = Graph(len(gausRMS) - 2)
gammaRMSg = Graph(len(gammaRMS) - 2)
gausYieldg = Graph(len(gausYield) - 2)
gammaYieldg = Graph(len(gammaYield) - 2)
for h, he, g in zip(
(gausYield, gammaYield),
(gausYielde, gammaYielde),
(gausYieldg, gammaYieldg),
):
for x, xe, a, e, i in zip(
jetPtCenter[2:],
jetPtErrors[2:],
h[2:],
he[2:],
range(len(gausRMS) - 2),
):
g.SetPoint(i, x, a)
g.SetPointError(i, xe, xe, e, e)
for a, b, c, d, e, f, i in zip(
gausRMS[2:],
gammaRMS[2:],
gausRMSe[2:],
gammaRMSe[2:],
jetPtCenter[2:],
jetPtErrors[2:],
range(len(gausRMS) - 2),
):
gausRMSg.SetPoint(i, e, a)
gausRMSg.SetPointError(i, f, f, c, c)
gammaRMSg.SetPoint(i, e, b)
gammaRMSg.SetPointError(i, f, f, d, d)
FullJets_gausRMS.append(gausRMSg)
print(len(FullJets_gausRMS))
FullJets_gammaRMS.append(gammaRMSg)
FullJets_gausYield.append(gausYieldg)
FullJets_gammaYield.append(gammaYieldg)
FullJets_fit.append(fits)
FullJets_parameters.append(parameters)
if fileData is not None:
FullJets_gausRMS.append(gGausRMSData)
FullJets_gammaRMS.append(gGammaRMSData)
FullJets_gausYield.append(gGausYieldData)
FullJets_gammaYield.append(gGammaYieldData)
print(len(FullJets_gausRMS))
drawWithErrors2Combined(
FullJets_gausRMS,
FullJets_gammaRMS,
15,
500,
1,
0,
1.65,
0,
r"$p_\mathrm{T,jet}$",
r"$\sqrt{\left<j_\mathrm{T}^2\right>}$",
"Pythia Truth",
"PythonFigures/RcomparisonRMS",
)
drawWithErrors2Combined(
FullJets_gausYield,
FullJets_gammaYield,
15,
500,
1,
0,
10,
0,
r"$p_\mathrm{T,jet}$",
r"Yield",
"Pythia Truth",
"PythonFigures/RcomparisonYield",
)
ratios = []
for hists in FullJets_jT:
if hists is not None:
ratio = []
for h, true in zip(hists, FullJets_jT[1]):
h2 = h.Clone()
h2.Divide(true)
ratio.append(h2)
else:
ratio = None
ratios.append(ratio)
fig, axs = defs.makegrid(4,
2,
xlog=True,
ylog=False,
d=d,
shareY=False)
axs = axs.reshape(8)
axs[4].set_ylabel("Ratio to R = 0.4")
axs[7].set_ylabel("Ratio to R = 0.4")
axs[1].text(
0.02,
0.005,
"Pythia\n"
r"pPb $\sqrt{s_{NN}} = 5.02 \mathrm{TeV}$"
"\n Full jets \n"
r"Anti-$k_\mathrm{T}$",
fontsize=7,
) # Add text to second subfigure, first parameters are coordinates in the drawn scale/units
for hists, R in zip(FullJets_jT, Rs):
for jT, ax, i, pT in zip(hists[2:], axs[0:4], range(0, 9),
jetPt[2:]):
rplt.errorbar(
jT,
emptybins=False,
xerr=False,
label="R = {:.1f}".format(R),
axes=ax,
fmt="o",
) # Plot jT histogram,
ax.text(
0.3,
1e2,
r"$p_\mathrm{T,jet}$:"
"\n"
r" {:02d}-{:02d} GeV".format(pT[0], pT[1]),
)
ax.set_xlim([0.01, 20]) # Set x-axis limits
ax.set_ylim([5e-4, 2e3]) # Set y-axis limits
ax.set_yscale("log")
ax.grid(True)
for ratio in ratios:
for r, ax in zip(ratio[2:], axs[4:8]):
rplt.errorbar(r, axes=ax, emptybins=False, xerr=False)
ax.set_xlim([0.01, 20])
ax.set_ylim([0.1, 3])
ax.grid(True)
axs[0].legend(loc="lower left")
plt.savefig("PythonFigures/RcomparisonSignal.pdf",
format="pdf") # Save figure
plt.show() # Draw figure on screen
def main():
JetPtBins = [5,10,20,30,40,60,80,100,150,500]
jetPt = [(JetPtBins[i],JetPtBins[i+1]) for i in range(8)]
print(jetPt)
#JetPtCenter = [7.5,15,25,35,50,70,90,125,325]
JetPtCenter = [6.5,12.45,23.34,33.83,46.75,67.73,88.01,116.11,194.61]
LeadPtMode = [2.0,3.0,5.6,8.9,9.9,14.8,20.7,26.0,34.6]
LeadPtMean = [2.35,3.72,6.66,9.59,13.58,17.98,23.27,27.55,31.68]
LeadPtError = [0.93,1.69,3.18,4.43,6.74,8.34,9.68,10.27,10.55]
JetPtError = [2.5,5,5,5,10,10,10,25,175]
JetPtLeadPtG = Graph(len(JetPtCenter)) #Gives jet pT as a function of leading pT
JetPtLeadPtGerr = Graph(len(JetPtCenter))
LeadPtJetPtG = Graph(len(JetPtCenter))
LeadPtJetPtGerr = Graph(len(JetPtCenter))
for i,(x,y,e) in enumerate(zip(LeadPtMean,JetPtCenter,JetPtError)):
JetPtLeadPtG.SetPoint(i,x,y)
JetPtLeadPtGerr.SetPoint(i,x,e)
for i,(x,y,e) in enumerate(zip(JetPtCenter,LeadPtMean,LeadPtError)):
LeadPtJetPtG.SetPoint(i,x,y)
LeadPtJetPtGerr.SetPoint(i,x,e)
Njets = 8
topcomment = "_systematics_Triggered"
finderName = ["Full jets, Anti-k_\mathrm{T} R = 0.4","Charged Jets, Anti-k_\mathrm{T} R = 0.4"]
finderType = ["Full","Charged"]
setTitle = ["0","1","2","3","4","5"]
finderR = {4,4}
iC = 0
logx = 1
doWeight = 1
iS = 0
f = root_open("errors_test.root", 'read')
gGausRMS = f.Get("gGausRMS{:02d}".format(iS))
gGausRMSerr = f.Get("gGausRMS{:02d}_Systematics".format(iS))
gGausYield = f.Get("gGausYield{:02d}".format(iS))
gGausYielderr = f.Get("gGausYield{:02d}_Systematics".format(iS))
gGammaRMS = f.Get("gGammaRMS{:02d}".format(iS))
gGammaRMSerr = f.Get("gGammaRMS{:02d}_Systematics".format(iS))
gGammaYield = f.Get("gGammaYield{:02d}".format(iS))
gGammaYielderr = f.Get("gGammaYield{:02d}_Systematics".format(iS))
start = 4
iS = 0
stats = [None if ij < start else f.Get("JetConeJtWeightBinNFin{:02d}JetPt{:02d}_Statistics".format(iS,ij)) for ij in range(8)]
fits = [None if ij < start else f.Get("JetConeJtWeightBinNFin{:02d}JetPt{:02d}_FitFunction".format(iS,ij)) for ij in range(8)]
print(fits)
print(stats)
n_figs = 2
# if(n_figs == 2):
# fig,axs = defs.makeRatio(xlog=True,ylog=True,d=d,shareY=False,figsize = (5,6),grid=False)
# else:
# fig, axs = defs.makegrid(n_figs/2,2,xlog=True,ylog=True,d=d,shareY=False,figsize= (10,7.5) if n_figs == 4 else (n_figs*15/8,7.5) )
# axs = axs.reshape(n_figs)
# if(n_figs == 2):
# pT = jetPt[start]
# print(pT)
# axs[0].text(0.8,7,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n' + d['cut'] + '\n' + r'${:02d}\:\mathrm{{GeV}}/c < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}/c$'.format(pT[0],pT[1]),fontsize = 10)
# else:
# axs[1].text(0.12,0.002,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n' + d['cut'],fontsize = 11)
#
ratios = []
xs2 = []
for jT,pT,ij,fit in zip(stats[start:],jetPt[start:],range(start,9),fits[start:]):
color = colors[1]
fig,axs = defs.makeRatio(xlog=True,ylog=True,d=d,shareY=False,figsize = (5,6),grid=False)
axs = axs.reshape(n_figs)
axs[0].text(0.8,7,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n' + d['cut'] + '\n' + r'${:02d}\:\mathrm{{GeV}}/c < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}/c$'.format(pT[0],pT[1]),fontsize = 10)
ax = axs[0]
xs = np.arange(0,xhigh,0.01).tolist()
for ii in range(6):
print(fit.GetParameter(ii))
#B2 is Gauss normalization
#B3 is Gamma normalization
gauss = fit.Clone()
gauss.SetParameter(3,0)
gamma = fit.Clone()
gamma.SetParameter(0,0)
ys = [fit.Eval(x) for x in xs]
ys2 = [gauss.Eval(x) for x in xs]
ys3 = [gamma.Eval(x) for x in xs]
ax.plot(xs,ys2,'b:',label="Narrow")
ax.plot(xs,ys3,'r--',label="Wide")
ax.plot(xs,ys,'k',label="Total")
jT.SetMarkerColor(color)
jT.SetMarkerStyle(24)
jT.SetLineColor(color)
jT.SetMarkerSize(mSize)
plot = rplt.errorbar(jT,xerr=False,emptybins=False,axes=ax,label="ALICE",fmt='o',fillstyle='none') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
if(True):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(color)
# line.set_markerfacecolor('none')
# line.set_markeredgecolor(colors[c])
# line.set_markerfacecolor('none')
# line.set_markeredgecolor('none')
# line.set_drawstyle('default')
# line.set_linestyle('dashed')
# line.set_color(colors[c])
if(n_figs > 2):
ax.text(0.5,1e2,r'${:02d}\:\mathrm{{GeV}} < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}$'.format(pT[0],pT[1]))
ax.set_xlim([xlow,xhigh]) #Set x-axis limits
ax.set_ylim([1e-6,2e3]) #Set y-axis limits
#ax.set_xticklabels(ax.get_xticklabels(),horizontalalignment='left')
x_ = Double()
y1 = Double()
xe = Double()
ye = Double()
NC = jT.GetN()
y2 = []
y2e = []
xs=[]
ex = []
for ii in range(NC):
jT.GetPoint(ii,x_,y1)
xe = jT.GetErrorX(ii)
ye = jT.GetErrorY(ii)
x1 = x_*1.0
xs.append(x1)
ex.append(xe)
if(y1 > 0):
y2.append(y1/fit.Eval(x1))
y2e.append(ye/fit.Eval(x1))
else:
y2.append(0)
y2e.append(0)
#ratio = jT.Clone()
ratio= Graph(NC)
print(xs[::5])
print(y2[::5])
print(ex[::5])
print(y2e[::5])
for x0,y0,x0e,y0e,i in zip(xs,y2,ex,y2e,range(NC)):
ratio.SetPoint(i,x0,y0)
ratio.SetPointError(i,x0e,x0e,y0e,y0e)
ratios.append(ratio)
print(ratio)
ax = axs[1]
#for ratio,pT,ax,color in zip(ratios,jetPt[start:],axs[n_figs/2:n_figs+1],colors[1:]):
print("Debug")
ratio.SetMarkerColor(color)
ratio.SetLineColor(color)
ratio.SetMarkerStyle(24)
ax.plot([0,20],[1,1],'k--')
#ratio.SetMarkerSize(mSize)
plot = rplt.errorbar(ratio,xerr=False,emptybins=False,axes=ax,label=r"Ratio",fmt='o',fillstyle='none') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
if(True):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(color)
#ax.plot(xs2,ratio)
ax.set_yscale('linear')
ax.set_xlim([xlow,xhigh]) #Set x-axis limits
ax.set_ylim([0,2.75]) #Set y-axis limits
ax.set_ylabel('Signal/Fit',fontsize=14) #Add y-axis labels to left- and righmost subfigures
handles, labels = axs[0].get_legend_handles_labels()
handles = [handles[3],handles[2],handles[0],handles[1]]
labels = [labels[3],labels[2],labels[0],labels[1]]
handles = [container.ErrorbarContainer(h,has_xerr=False,has_yerr=True) if isinstance(h, container.ErrorbarContainer) else h for h in handles]
axs[0].legend(handles,labels,loc = 'lower left',numpoints=1)
axs[0].text(0.11,3e2,"ALICE",weight='bold')
fig.align_labels()
print("Save PythonFigures/JtSignalFinalFitJetPt{}.pdf".format(ij))
plt.savefig("PythonFigures/JtSignalFinalFitJetPt{}.pdf".format(ij),format='pdf') #Save figure
plt.show() #Draw figure on screen
h_truth = asrootpy(
inputFile.unfoldingAnalyserElectronChannel.truth.Rebin(
nbins, 'truth_new', bins))
print 'old:', get_bin_centers(bins)
new_centers = barycenters(h_truth_finebinned, h_truth)
print 'centre of mass:', new_centers
new_centers = calculate_correct_x_coordinates(h_truth_finebinned, bins)
print 'correct:', new_centers
data = list(h_truth.y())
h_truth_new = Hist(new_centers)
bin_widths = [25, 20, 25, 30, 1000]
g_truth_new = Graph(len(new_centers))
for i, (x, y, width) in enumerate(zip(new_centers, data, bin_widths)):
g_truth_new.SetPoint(i, x, y / width)
error = h_truth.GetBinError(i + 1)
g_truth_new.SetPointError(i, 0, 0, error, error)
for bin_i in range(len(data)):
h_truth_new.SetBinContent(bin_i + 1, data[bin_i] / bin_widths[bin_i])
h_truth.SetBinContent(bin_i + 1, data[bin_i] / bin_widths[bin_i])
h_truth_finebinned.SetFillStyle(0)
h_truth_finebinned.Smooth(500)
x, y = list(h_truth_finebinned.x()), list(h_truth_finebinned.y())
bin_edges = np.array(list(h_truth_finebinned.xedges()))
bincenters = 0.5 * (bin_edges[1:] + bin_edges[:-1])
g_truth = Graph(h_truth)
# g_truth_new = Graph(len(h_truth), h_truth_new)
g_truth_new.SetLineColor('red')
g_truth_new.SetMarkerColor('red')
h_truth_finebinned.axis().SetRange(0, 1000)
def draw_curve_8(_func, name, title, ylow, yhigh, num_errs=1):
""" Draw 8TeV trigger efficiency curves """
graphs = []
for (trigger, color) in triggers:
tool = ROOT.TrigTauEfficiency()
tool.loadInputFile(
os.path.join(base, 'triggerSF_{0}.root'.format(trigger)))
func = getattr(tool, _func)
eff = np.array(
map(lambda x: func(x, eta, 0, period, prong, wpflag, eveto), pt))
errs_low = []
errs_high = []
for ierr in xrange(num_errs):
eff_low = np.array(
map(lambda x: func(x, eta, -1, period, prong, wpflag, eveto),
pt))
eff_high = np.array(
map(lambda x: func(x, eta, 1, period, prong, wpflag, eveto),
pt))
errs_low.append(eff_low)
errs_high.append(eff_high)
# quadrature sum of error
eff_low = np.sqrt(
np.sum([np.power(err, 2) for err in errs_low], axis=0))
eff_high = np.sqrt(
np.sum([np.power(err, 2) for err in errs_high], axis=0))
graph = Graph(len(pt), name=trigger)
for i, (p, e, e_low,
e_high) in enumerate(zip(pt, eff, eff_low, eff_high)):
graph.SetPoint(i, p / 1000, e)
graph.SetPointError(i, 0.4, 0.4, e_low, e_high)
graph.linecolor = color
graph.linewidth = 2
graph.fillstyle = '/'
graph.fillcolor = color
graphs.append(graph)
c = Canvas()
leg = Legend(len(graphs),
pad=c,
topmargin=0.6,
leftmargin=0.3,
textsize=25,
margin=0.2)
for i, g in enumerate(graphs):
if i == 0:
g.Draw('3AL')
g.xaxis.title = '#font[52]{p}_{T} [GeV]'
g.xaxis.SetLimits(20, 100)
g.yaxis.SetLimits(ylow, yhigh)
g.yaxis.SetRangeUser(ylow, yhigh)
g.yaxis.title = title
else:
g.Draw('3L SAME')
leg.AddEntry(g, g.name, 'L')
leg.Draw()
lines = []
for thresh in (25, 35):
line = Line(thresh, ylow, thresh, yhigh)
line.linestyle = 'dashed'
line.linewidth = 2
line.Draw()
lines.append(line)
c.SaveAs('trigger_{0}.png'.format(name))
c.SaveAs('trigger_{0}.eps'.format(name))
def main():
print('Number of arguments: ', len(sys.argv), 'arguments.')
print('Argument list:',str(sys.argv))
filename = sys.argv[1]
separate = int(sys.argv[2])
if(len(sys.argv) > 3):
start = int(sys.argv[3])
end = int(sys.argv[4])
else:
start = 1
end = 6
n_figs = end-start
print("Number of figs: {}".format(n_figs))
print("Input file: ")
print(filename)
FullJets_R04 = dataset('Full jets R=0.4',NFIN=0,range=(start,end),filename=filename,directory='AliJJetJtTask/AliJJetJtHistManager',color=2,style=24,rebin=2)
#Mixed_FullJets_R04 = datasetMixed("Full jets R=0.4",NFIN=0,range=5,filename=filename,directory='AliJJetJtTask/AliJJetJtHistManager',directory2='AliJJetJtTask_kEMCEJE/AliJJetJtHistManager',color=2,style=24,rebin=2)
#signal,jetPt = FullJets_R04.getHist('JtWeightBin',jetpt = True)
#signal2 = FullJets_R04.getHist('JtWeightLeadingRefBin',jetpt=False)
compareHistsWithRatio(FullJets_R04,['JtWeightBin','JtWeightLeadingRefBin','JtWeightLeadingRefBin','JtWeightLeadingRefBin','JtWeightLeadingRefBin'],['Jet axis ref.','leading ref. (xlong 0.0-0.2)','leading ref. (xlong 0.2-0.4)','leading ref. (xlong 0.4-0.6)','leading ref. (xlong 0.6-1.0)'],step=1,extras=['','Xlong00','Xlong01','Xlong02','Xlong03'])
plt.savefig("PythonFigures/JetVsLeadingRefConst.pdf",format='pdf') #Save figure
plt.show()
sets = compareHistsWithRatio(FullJets_R04,['JetConeJtWeightBin','JetConeJtWeightLeadingRefBin','JetConeJtWeightLeadingRefBin','JetConeJtWeightLeadingRefBin','JetConeJtWeightLeadingRefBin'],['Jet axis ref.','leading ref.(xlong 0.0-0.2)','leading ref.(xlong 0.2-0.4)','leading ref.(xlong 0.4-0.6)','leading ref. (xlong 0.6-1.0)'],step=1,extras=['','Xlong00','Xlong01','Xlong02','Xlong03'])
plt.savefig("PythonFigures/JetVsLeadingRefJetCone.pdf",format='pdf') #Save figure
plt.show()
JtJet = sets[0][0]
JtLeadingxlong00 = sets[1][0]
JtLeadingxlong01 = sets[2][0]
JtLeadingxlong02 = sets[3][0]
JtLeadingxlong03 = sets[4][0]
JtLeading = [h.clone() for h in sets[1][0]]
for h,s,s2,s3 in zip(JtLeading,sets[2][0],sets[3][0],sets[4][0]):
h.Add(s,1)
h.Add(s2,1)
h.Add(s3,1)
# print(JtLeading)
# for set in sets[2:]:
# for h,s in zip(JtLeading,set[0]):
# print(s)
# h.Add(s,1)
jetPt = sets[0][1]
jetPtCenter = array('d',[(a+b)/2.0 for a,b in jetPt])
jetPtErrors = array('d',[(b-a)/2.0 for a,b in jetPt])
FullJets_fit = []
FullJets_parameters = []
FullJets_gausRMS = []
FullJets_gammaRMS = []
FullJets_gausYield = []
FullJets_gammaYield = []
for jT,title in zip((JtJet,JtLeading,JtLeadingxlong00,JtLeadingxlong01,JtLeadingxlong02),("Jet ref.","Leading ref","Leading ref.(xlong 0.0-0.2)","Leading ref.(xlong 0.2-0.4)","Leading ref.(xlong 0.4-0.6)","Leading ref.(xlong 0.6-1.0)")):
gausRMS = []
gammaRMS = []
gausRMSe = []
gammaRMSe = []
gausYield = []
gammaYield = []
gausYielde = []
gammaYielde = []
fits = []
parameters = []
for h,i in zip(jT,range(Njets)):
fit,d = defs.fitJtHisto(h,'',1,i,8,title,draw=False)
fits.append(fit)
parameters.append(d)
gausRMS.append(d['gausRMS'])
gausRMSe.append(d['gausRMSe'])
gammaRMS.append(d['gammaRMS'])
gammaRMSe.append(d['gammaRMSe'])
gausYield.append(d['gausYield'])
gausYielde.append(d['gausYielde'])
gammaYield.append(d['gammaYield'])
gammaYielde.append(d['gammaYielde'])
gausRMSg = Graph(len(gausRMS)-2)
gammaRMSg = Graph(len(gammaRMS)-2)
gausYieldg = Graph(len(gausYield) -2)
gammaYieldg = Graph(len(gammaYield)-2)
for h,he,g in zip((gausYield,gammaYield),(gausYielde,gammaYielde),(gausYieldg,gammaYieldg)):
for x,xe,a,e,i in zip(jetPtCenter[2:],jetPtErrors[2:],h[2:],he[2:],range(len(gausRMS)-2)):
g.SetPoint(i,x,a)
g.SetPointError(i,xe,xe,e,e)
for a,b,c,d,e,f,i in zip(gausRMS[2:],gammaRMS[2:],gausRMSe[2:],gammaRMSe[2:],jetPtCenter[2:],jetPtErrors[2:],range(len(gausRMS)-2)):
gausRMSg.SetPoint(i,e,a)
gausRMSg.SetPointError(i,f,f,c,c)
gammaRMSg.SetPoint(i,e,b)
gammaRMSg.SetPointError(i,f,f,d,d)
FullJets_gausRMS.append(gausRMSg)
FullJets_gammaRMS.append(gammaRMSg)
FullJets_gausYield.append(gausYieldg)
FullJets_gammaYield.append(gammaYieldg)
FullJets_fit.append(fits)
FullJets_parameters.append(parameters)
print(gausRMS[2:])
print(gammaRMS[2:])
print(jetPtCenter[2:])
drawWithErrors2Combined(FullJets_gausRMS,FullJets_gammaRMS,["Jet ref.","Leading ref.","Leading ref.(xlong 0.0-0.2)","Leading ref.(xlong 0.2-0.4)","Leading ref.(xlong 0.4-0.6)"],15,500,1,0,1.85,0,r'jet $p_T$',r'$\sqrt{\left<j_T^2\right>}$','Pythia','PythonFigures/JetVsLeadingRefJetConeFits')
return
if(separate > 0):
fig = plt.figure(1)
ax = fig.add_subplot(1,1,1)
ax.set_xscale('log')
ax.set_yscale('log')
ax.text(0.2,0.0005,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n Jet Cone',fontsize = 7)
rplt.errorbar(signal[separate],xerr=False,emptybins=False,axes=ax,label="Jet axis reference",fmt='o') #Plot jT histogram,
rplt.errorbar(signal2[separate],xerr=False,emptybins=False,axes=ax,label="Leading track reference",fmt='o')
ax.text(0.3,1e2,r'$p_{{T,\mathrm{{jet}}}}$:''\n'r' {:02d}-{:02d} GeV'.format(jetPt[separate][0],jetPt[separate][1]))
ax.set_xlim([0.1,12])
ax.set_ylim([5e-6,1.5e3])
ax.legend(loc = 'lower left')
plt.savefig("PythonFigures/MixedFullJetsR04JetConeJtLeadingRefJetPt{0}.pdf".format(separate),format='pdf') #Save figure
plt.show() #Draw figure on screen
else:
n_rows = n_figs//4
print(n_rows)
fig, axs = defs.makegrid(4,n_figs//4,xlog=True,ylog=True,d=d,shareY=True,figsize=(10,5))
axs = axs.reshape(n_figs)
axs[1].text(0.12,0.002,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n Jet Cone',fontsize = 7)
for jT,jT2,pT,ax,i in zip(signal[start:],signal2[start:],jetPt[start:],axs,range(0,9)):
jT.SetMarkerColor(1)
jT2.SetMarkerColor(2)
plot = rplt.errorbar(jT,xerr=False,emptybins=False,axes=ax,label="Jet axis reference",fmt='o',fillstyle='none',ecolor='black') #Plot jT histogram,
plot = rplt.errorbar(jT2,xerr=False,emptybins=False,axes=ax,label="Leading track reference",fmt='o',fillstyle='none',ecolor='red') #Plot jT histogram,
ax.text(0.3,1e2,r'$p_{{T,\mathrm{{jet}}}}$:''\n'r' {:02d}-{:02d} GeV'.format(pT[0],pT[1]))
ax.set_xlim([0.1,22]) #Set x-axis limits
ax.set_ylim([5e-4,2e3]) #Set y-axis limits
ax.set_xticklabels(ax.get_xticklabels(),horizontalalignment='left')
axs[0].legend(loc = 'lower left')
plt.savefig("PythonFigures/MixedFullJetsR04JetConeJtLeadingRefPtFrom{}To{}.pdf".format(start,end),format='pdf') #Save figure
plt.show() #Draw figure on screen
def main():
JetPtBins = [5, 10, 20, 30, 40, 60, 80, 100, 150, 500]
jetPt = [(JetPtBins[i], JetPtBins[i + 1]) for i in range(8)]
print(jetPt)
#JetPtCenter = [7.5,15,25,35,50,70,90,125,325]
JetPtCenter = [
6.5, 12.45, 23.34, 33.83, 46.75, 67.73, 88.01, 116.11, 194.61
]
LeadPtMode = [2.0, 3.0, 5.6, 8.9, 9.9, 14.8, 20.7, 26.0, 34.6]
LeadPtMean = [2.35, 3.72, 6.66, 9.59, 13.58, 17.98, 23.27, 27.55, 31.68]
LeadPtError = [0.93, 1.69, 3.18, 4.43, 6.74, 8.34, 9.68, 10.27, 10.55]
JetPtError = [2.5, 5, 5, 5, 10, 10, 10, 25, 175]
JetPtLeadPtG = Graph(
len(JetPtCenter)) #Gives jet pT as a function of leading pT
JetPtLeadPtGerr = Graph(len(JetPtCenter))
LeadPtJetPtG = Graph(len(JetPtCenter))
LeadPtJetPtGerr = Graph(len(JetPtCenter))
for i, (x, y, e) in enumerate(zip(LeadPtMean, JetPtCenter, JetPtError)):
JetPtLeadPtG.SetPoint(i, x, y)
JetPtLeadPtGerr.SetPoint(i, x, e)
for i, (x, y, e) in enumerate(zip(JetPtCenter, LeadPtMean, LeadPtError)):
LeadPtJetPtG.SetPoint(i, x, y)
LeadPtJetPtGerr.SetPoint(i, x, e)
Njets = 8
topcomment = "_systematics_Triggered"
finderName = [
"Full jets, Anti-k_\mathrm{T} R = 0.4",
"Charged Jets, Anti-k_\mathrm{T} R = 0.4"
]
finderType = ["Full", "Charged"]
setTitle = ["0", "1", "2", "3", "4", "5"]
finderR = {4, 4}
iC = 0
logx = 1
doWeight = 1
iS = 0
start = 5
iS = 0
if (os.path.exists('RootFiles/Fig2.root')):
inFile = "RootFiles/Fig2.root"
inF = root_open(inFile, 'r')
stats = [
None
if ij < start else inF.Get("jTSignalJetPt_Stat{:02d}".format(ij))
for ij in range(8)
]
fits = [
None
if ij < start else inF.Get("jTSignalJetPt_fit{:02d}".format(ij))
for ij in range(8)
]
errGraph = [
None
if ij < start else inF.Get("jTSignalJetPt_syst{:02d}".format(ij))
for ij in range(8)
]
else:
f = root_open("RootFiles/jtSystematics.root", 'read')
stats = [
None if ij < start else f.Get(
"JetConeJtWeightBinNFin{:02d}JetPt{:02d}_Statistics".format(
iS, ij)) for ij in range(8)
]
fits = [
None if ij < start else f.Get(
"JetConeJtWeightBinNFin{:02d}JetPt{:02d}_FitFunction".format(
iS, ij)) for ij in range(8)
]
errGraph = [
None if ij < start else f.Get(
'JetConeJtWeightBinNFin{:02d}JetPt{:02d}_Systematics'.format(
iS, ij)) for ij in range(8)
] #Get jT histograms from file an array
outFile = "RootFiles/Fig2.root"
outF = root_open(outFile, "w+")
for s, f, e, i in zip(stats, fits, errGraph, range(10)):
if (s):
s.SetName("jTSignalJetPt_Stat{:02d}".format(i))
s.Write()
f.SetName("jTSignalJetPt_fit{:02d}".format(i))
f.Write()
e.SetName("jTSignalJetPt_syst{:02d}".format(i))
e.Write()
outF.Close()
n_figs = 2
ratios = []
xs2 = []
for jT, pT, ij, fit, jT_sys in zip(stats[start:], jetPt[start:],
range(start, 9), fits[start:],
errGraph[start:]):
color = colors[1]
fig, axs = defs.makeRatio(xlog=True,
ylog=True,
d=d,
shareY=False,
figsize=(5, 6),
grid=False)
axs = axs.reshape(n_figs)
axs[0].text(
0.6,
40,
d['system'] + '\n' + d['jettype'] + '\n' + d['jetalg'] + '\n' +
d['cut'] + '\n' +
r'${:02d}\: < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}/c$'.
format(pT[0], pT[1]),
fontsize=10)
ax = axs[0]
xs = np.arange(0, xhigh, 0.01).tolist()
for ii in range(6):
print(fit.GetParameter(ii))
gauss = fit.Clone()
gauss.SetParameter(3, 0)
gamma = fit.Clone()
gamma.SetParameter(0, 0)
ys = [fit.Eval(x) for x in xs]
ys2 = [gauss.Eval(x) for x in xs]
ys3 = [gamma.Eval(x) for x in xs]
ax.plot(xs, ys2, 'b:', label="Narrow")
ax.plot(xs, ys3, 'r--', label="Wide")
ax.plot(xs, ys, 'k', label="Total")
jT.SetMarkerColor(color)
jT.SetMarkerStyle(24)
jT.SetLineColor(color)
jT.SetMarkerSize(mSize)
plot = rplt.errorbar(jT,
xerr=False,
emptybins=False,
axes=ax,
label="ALICE",
fmt='o',
fillstyle='none') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
line.set_markerfacecolor('none')
line.set_color(color)
errorboxes = []
ratioBoxes = []
n = jT_sys.GetN()
xs = jT_sys.GetX()
ys = jT_sys.GetY()
xerrs = jT_sys.GetEX()
yerrs = jT_sys.GetEY()
for x in (xs, ys, xerrs, yerrs):
x.SetSize(n)
for x, y, xe, ye in zip(xs, ys, xerrs, yerrs):
rect = Rectangle((x - xe, (y - ye)), xe * 2, ye * 2)
errorboxes.append(rect)
rect2 = Rectangle((x - xe, (y - ye) / fit.Eval(x)), xe * 2,
ye / fit.Eval(x) * 2)
ratioBoxes.append(rect2)
pc = PatchCollection(errorboxes,
facecolor='r',
alpha=0.5,
edgecolor='None')
ax.add_collection(pc)
if (n_figs > 2):
ax.text(
0.5, 1e2,
r'${:02d}\:\mathrm{{GeV}} < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}$'
.format(pT[0], pT[1]))
ax.set_xlim([xlow, xhigh]) #Set x-axis limits
ax.set_ylim([1e-3, 5e3]) #Set y-axis limits
x_ = Double()
y1 = Double()
xe = Double()
ye = Double()
NC = jT.GetN()
y2 = []
y2e = []
xs = []
ex = []
for ii in range(NC):
jT.GetPoint(ii, x_, y1)
xe = jT.GetErrorX(ii)
ye = jT.GetErrorY(ii)
x1 = x_ * 1.0
xs.append(x1)
ex.append(xe)
if (y1 > 0):
y2.append(y1 / fit.Eval(x1))
y2e.append(ye / fit.Eval(x1))
else:
y2.append(0)
y2e.append(0)
#ratio = jT.Clone()
ratio = Graph(NC)
"""
ratioBoxes = []
N = div.GetNbinsX()
for box,i in zip(syst,range(1,N)):
y = div.GetBinContent(i)
x1,x2,y1,y2,yc,error,ratio,ratioerror = box
rect = Rectangle((x1,ratio-ratioerror),x2-x1,ratioerror*2)
ratioBoxes.append(rect)
pc = PatchCollection(ratioBoxes, facecolor=colorsBox[j], alpha=0.5,edgecolor=colorsBox[j])
ax.add_collection(pc)
"""
print(xs[::5])
print(y2[::5])
print(ex[::5])
print(y2e[::5])
for x0, y0, x0e, y0e, i in zip(xs, y2, ex, y2e, range(NC)):
ratio.SetPoint(i, x0, y0)
ratio.SetPointError(i, x0e, x0e, y0e, y0e)
ratios.append(ratio)
print(ratio)
ax = axs[1]
pc2 = PatchCollection(ratioBoxes,
facecolor='r',
alpha=0.5,
edgecolor='None')
ax.add_collection(pc2)
#for ratio,pT,ax,color in zip(ratios,jetPt[start:],axs[n_figs/2:n_figs+1],colors[1:]):
ratio.SetMarkerColor(color)
ratio.SetLineColor(color)
ratio.SetMarkerStyle(24)
ax.plot([0, 20], [1, 1], 'k--')
#ratio.SetMarkerSize(mSize)
plot = rplt.errorbar(ratio,
xerr=False,
emptybins=False,
axes=ax,
label=r"Ratio",
fmt='o',
fillstyle='none') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
if (True):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(color)
#ax.plot(xs2,ratio)
ax.set_yscale('linear')
ax.set_xlim([xlow, xhigh]) #Set x-axis limits
ax.set_ylim([0, 2.75]) #Set y-axis limits
ax.set_ylabel(
'Signal/Fit',
fontsize=14) #Add y-axis labels to left- and righmost subfigures
handles, labels = axs[0].get_legend_handles_labels()
handles = [handles[3], handles[2], handles[0], handles[1]]
labels = [labels[3], labels[2], labels[0], labels[1]]
handles = [
container.ErrorbarContainer(h, has_xerr=False, has_yerr=True)
if isinstance(h, container.ErrorbarContainer) else h
for h in handles
]
axs[0].legend(handles, labels, loc='lower left', numpoints=1)
#axs[0].text(0.11,1e3,"ALICE",weight='bold')
axs[0].text(0.12, 7e2, "ALICE", fontsize=20)
fig.align_labels()
print("Save PythonFigures/JtSignalFinalFitJetPt{}.pdf".format(ij))
plt.savefig("PythonFigures/JtSignalFinalFitJetPt{}.pdf".format(ij),
format='pdf') #Save figure
plt.show() #Draw figure on screen
def main():
print('Number of arguments: ', len(sys.argv), 'arguments.')
print('Argument list:', str(sys.argv))
filename = "rootFiles/legotrain_CF_pPb_2305_20190109_LHC13bcde_minimal.root"
separate = 0
start = 2
end = 6
n_figs = end - start
Mixed_FullJets_R04 = datasetMixed(
"Full jets R=0.4",
NFIN=0,
range=(1, 5),
filename=filename,
directory='AliJJetJtTask/AliJJetJtHistManager',
directory2='AliJJetJtTask_kEMCEJE/AliJJetJtHistManager',
color=2,
style=24,
rebin=2)
compareHistsWithRatio(
Mixed_FullJets_R04,
['JtWeightBin', 'JtWeightLeadingRefBin', 'JtWeightLeadingRefBin'], [
'Jet axis ref.', 'leading ref. (xlong 0.0-0.2)',
'leading ref. (xlong 0.2-0.4)'
],
step=1,
start=1,
extras=['', 'Xlong00', 'Xlong01'])
plt.savefig("PythonFigures/JetVsLeadingRefConst.pdf",
format='pdf') #Save figure
plt.show()
sets = compareHistsWithRatio(
Mixed_FullJets_R04, [
'JetConeJtWeightBin', 'JetConeJtWeightLeadingRefBin',
'JetConeJtWeightLeadingRefBin', 'JetConeJtWeightLeadingRefBin',
'JetConeJtWeightLeadingRefBin'
], [
'Jet axis ref.', 'leading ref.(xlong 0.0-0.2)',
'leading ref.(xlong 0.2-0.4)', 'leading ref.(xlong 0.4-0.6)',
'leading ref. (xlong 0.6-1.0)'
],
step=1,
extras=['', 'Xlong00', 'Xlong01', 'Xlong02', 'Xlong03'])
plt.savefig("PythonFigures/JetVsLeadingRefJetCone.pdf",
format='pdf') #Save figure
plt.show()
JtJet = sets[0][0]
JtLeadingxlong00 = sets[1][0]
JtLeadingxlong01 = sets[2][0]
JtLeadingxlong02 = sets[3][0]
JtLeadingxlong03 = sets[4][0]
JtLeading = [h.clone() for h in sets[1][0]]
for h, s, s2, s3 in zip(JtLeading, sets[2][0], sets[3][0], sets[4][0]):
h.Add(s, 1)
h.Add(s2, 1)
h.Add(s3, 1)
jetPt = sets[0][1]
jetPtCenter = array('d', [(a + b) / 2.0 for a, b in jetPt])
jetPtErrors = array('d', [(b - a) / 2.0 for a, b in jetPt])
FullJets_fit = []
FullJets_parameters = []
FullJets_gausRMS = []
FullJets_gammaRMS = []
FullJets_gausYield = []
FullJets_gammaYield = []
for jT, title in zip(
(JtJet, JtLeading, JtLeadingxlong00, JtLeadingxlong01,
JtLeadingxlong02),
("Jet ref.", "Leading ref", "Leading ref.(xlong 0.0-0.2)",
"Leading ref.(xlong 0.2-0.4)", "Leading ref.(xlong 0.4-0.6)",
"Leading ref.(xlong 0.6-1.0)")):
gausRMS = []
gammaRMS = []
gausRMSe = []
gammaRMSe = []
gausYield = []
gammaYield = []
gausYielde = []
gammaYielde = []
fits = []
parameters = []
for h, i in zip(jT, range(Njets)):
fit, d = defs.fitJtHisto(h, '', 1, i, 8, title, draw=False)
fits.append(fit)
parameters.append(d)
gausRMS.append(d['gausRMS'])
gausRMSe.append(d['gausRMSe'])
gammaRMS.append(d['gammaRMS'])
gammaRMSe.append(d['gammaRMSe'])
gausYield.append(d['gausYield'])
gausYielde.append(d['gausYielde'])
gammaYield.append(d['gammaYield'])
gammaYielde.append(d['gammaYielde'])
gausRMSg = Graph(len(gausRMS) - 2)
gammaRMSg = Graph(len(gammaRMS) - 2)
gausYieldg = Graph(len(gausYield) - 2)
gammaYieldg = Graph(len(gammaYield) - 2)
for h, he, g in zip((gausYield, gammaYield), (gausYielde, gammaYielde),
(gausYieldg, gammaYieldg)):
for x, xe, a, e, i in zip(jetPtCenter[2:], jetPtErrors[2:], h[2:],
he[2:], range(len(gausRMS) - 2)):
g.SetPoint(i, x, a)
g.SetPointError(i, xe, xe, e, e)
for a, b, c, d, e, f, i in zip(gausRMS[2:], gammaRMS[2:], gausRMSe[2:],
gammaRMSe[2:],
jetPtCenter[2:], jetPtErrors[2:],
range(len(gausRMS) - 2)):
gausRMSg.SetPoint(i, e, a)
gausRMSg.SetPointError(i, f, f, c, c)
gammaRMSg.SetPoint(i, e, b)
gammaRMSg.SetPointError(i, f, f, d, d)
FullJets_gausRMS.append(gausRMSg)
FullJets_gammaRMS.append(gammaRMSg)
FullJets_gausYield.append(gausYieldg)
FullJets_gammaYield.append(gammaYieldg)
FullJets_fit.append(fits)
FullJets_parameters.append(parameters)
print(gausRMS[2:])
print(gammaRMS[2:])
print(jetPtCenter[2:])
drawWithErrors2Combined(FullJets_gausRMS, FullJets_gammaRMS, [
"Jet ref.", "Leading ref.", "Leading ref.(xlong 0.0-0.2)",
"Leading ref.(xlong 0.2-0.4)", "Leading ref.(xlong 0.4-0.6)"
], 15, 500, 1, 0, 1.85, 0, r'jet $p_T$', r'$\sqrt{\left<j_T^2\right>}$',
'Pythia',
'PythonFigures/JetVsLeadingRefJetConeFits')
if (separate > 0):
fig = plt.figure(1)
ax = fig.add_subplot(1, 1, 1)
ax.set_xscale('log')
ax.set_yscale('log')
ax.text(0.2,
0.0005,
d['system'] + '\n' + d['jettype'] + '\n' + d['jetalg'] +
'\n Jet Cone',
fontsize=7)
rplt.errorbar(signal[separate],
xerr=False,
emptybins=False,
axes=ax,
label="Jet axis reference",
fmt='o') #Plot jT histogram,
rplt.errorbar(signal2[separate],
xerr=False,
emptybins=False,
axes=ax,
label="Leading track reference",
fmt='o')
ax.text(
0.3, 1e2, r'$p_{{T,\mathrm{{jet}}}}$:'
'\n'
r' {:02d}-{:02d} GeV'.format(jetPt[separate][0],
jetPt[separate][1]))
ax.set_xlim([0.1, 12])
ax.set_ylim([5e-6, 1.5e3])
ax.legend(loc='lower left')
plt.savefig(
"PythonFigures/MixedFullJetsR04JetConeJtLeadingRefJetPt{0}.pdf".
format(separate),
format='pdf') #Save figure
plt.show() #Draw figure on screen
else:
n_rows = n_figs // 4
print(n_rows)
fig, axs = defs.makegrid(4,
2,
xlog=True,
ylog=True,
d=d,
shareY=False,
figsize=(10, 5))
axs = axs.reshape(8)
#axs[1].text(0.12,0.002,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n Jet Cone',fontsize = 7)
ratios = []
for jT, jT2, pT, ax, i in zip(JtJet[start:], JtLeading[start:],
jetPt[start:], axs[0:4], range(0, 9)):
jT.SetMarkerColor(1)
jT.SetMarkerStyle(24)
jT.SetLineColor(1)
#jT.SetMarkerSize(mSize)
jT2.SetMarkerColor(2)
jT2.SetMarkerStyle(25)
#jT2.SetMarkerSize(mSize)
jT2.SetLineColor(2)
ratio = jT2.Clone()
ratio.Divide(jT)
ratios.append(ratio)
plot = rplt.errorbar(jT,
xerr=False,
emptybins=False,
axes=ax,
label="Jet axis reference",
fmt='o',
fillstyle='none',
ecolor='black') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
line.set_markerfacecolor('none')
plot = rplt.errorbar(jT2,
xerr=False,
emptybins=False,
axes=ax,
label="Leading track reference",
fmt='o',
fillstyle='none',
ecolor='red') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
line.set_markerfacecolor('none')
#line.set_color(color)
ax.text(
0.3, 1e2, r'$p_{{T,\mathrm{{jet}}}}$:'
'\n'
r' {:02d}-{:02d} GeV'.format(pT[0], pT[1]))
ax.set_xlim([0.1, 22]) #Set x-axis limits
ax.set_ylim([5e-5, 2e3]) #Set y-axis limits
ax.set_xticklabels(ax.get_xticklabels(),
horizontalalignment='left')
for ratio, ax, i in zip(ratios, axs[4:], range(0, 9)):
plot = rplt.errorbar(ratio,
xerr=False,
emptybins=False,
axes=ax,
fmt='o',
fillstyle='none',
ecolor='black') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
line.set_markerfacecolor('none')
ax.set_yscale('linear')
ax.set_xlim([0.1, 22]) #Set x-axis limits
ax.set_ylim([0, 5]) #Set y-axis limits
handles, labels = axs[0].get_legend_handles_labels()
handles = [
container.ErrorbarContainer(h, has_xerr=False, has_yerr=True)
if isinstance(h, container.ErrorbarContainer) else h
for h in handles
]
axs[0].legend(handles, labels, loc='lower left', numpoints=1)
axs[4].set_ylabel('Ratio')
axs[7].set_ylabel('Ratio')
plt.savefig(
"PythonFigures/MixedFullJetsR04JetConeJtLeadingRefPtFrom{}To{}.pdf"
.format(start, end),
format='pdf') #Save figure
plt.show() #Draw figure on screen
def main():
Njets = 9
if (os.path.exists('RootFiles/Fig6.root')):
inFile = "RootFiles/Fig6.root"
inF = root_open(inFile, 'r')
FullJets_gausRMS = [
inF.Get("FullJets_gausRMS_R{:02d}".format(int(R * 10))) for R in Rs
]
FullJets_gammaRMS = [
inF.Get("FullJets_gammaRMS_R{:02d}".format(int(R * 10)))
for R in Rs
]
FullJets_jT = []
for R in Rs:
h = [
inF.Get("jTSignalJetPt{:02d}_R{:02d}".format(ij, int(R * 10)))
for ij in range(8)
]
FullJets_jT.append(h)
jetPt = [
(int(
re.search(r'p_{T,jet} : ([\d]*)\.[\d] - ([\d]*).[\d]*',
h.GetTitle(), re.M | re.I).group(1)),
int(
re.search(r'p_{T,jet} : ([\d]*)\.[\d] - ([\d]*).[\d]*',
h.GetTitle(), re.M | re.I).group(2)))
for h in FullJets_jT[0]
] #Use regular expressions to extract jet pT range from histogram titles
jetPtCenter = array('d', [(a + b) / 2.0 for a, b in jetPt])
jetPtErrors = array('d', [(b - a) / 2.0 for a, b in jetPt])
else:
filename = "CF_pPb_MC_legotrain/legotrain_610_20181010-1926_LHCb4_fix_CF_pPb_MC_ptHardMerged.root"
f = root_open(filename, 'read')
FullJets_jT = []
for iF, c in zip((8, 6, 7), colors):
jT = [
f.get(
'AliJJetJtTask/AliJJetJtHistManager/JetConeJtWeightBin/JetConeJtWeightBinNFin{:02d}JetPt{:02d}'
.format(iF, ij)) for ij in range(Njets)
]
bgJt = [
f.get(
'AliJJetJtTask/AliJJetJtHistManager/BgJtWeightBin/BgJtWeightBinNFin{:02d}JetPt{:02d}'
.format(iF, ij)) for ij in range(Njets)
]
jetPtBin = [
f.get(
'AliJJetJtTask/AliJJetJtHistManager/JetPtBin/JetPtBinNFin{:02d}JetPt{:02d}'
.format(iF, ij)) for ij in range(Njets)
]
nJets = [h.Integral() for h in jetPtBin]
nBgs = [
f.get(
'AliJJetJtTask/AliJJetJtHistManager/BgTrkNumberBin/BgTrkNumberBinNFin{:02d}JetPt{:02d}'
.format(iF, ij)).Integral() for ij in range(Njets)
]
FullJets_jT.append(jT)
#FullJets_bgJt.append(bgJt)
#FullJets_jetPtBin.append(jetPtBin)
for j, b, nj, nb in zip(jT, bgJt, nJets, nBgs):
j.Rebin(2)
b.Rebin(2)
j.Scale(1.0 / nj, "width")
b.Scale(1.0 / nb, "width")
j.SetMarkerColor(c)
b.SetMarkerColor(c)
j.Add(b, -1.0)
jetPt = [
(int(
re.search(r'p_{T,jet} : ([\d]*)\.[\d] - ([\d]*).[\d]*',
h.GetTitle(), re.M | re.I).group(1)),
int(
re.search(r'p_{T,jet} : ([\d]*)\.[\d] - ([\d]*).[\d]*',
h.GetTitle(), re.M | re.I).group(2)))
for h in FullJets_jT[0]
] #Use regular expressions to extract jet pT range from histogram titles
jetPtCenter = array('d', [(a + b) / 2.0 for a, b in jetPt])
jetPtErrors = array('d', [(b - a) / 2.0 for a, b in jetPt])
FullJets_fit = []
FullJets_parameters = []
FullJets_gausRMS = []
FullJets_gammaRMS = []
FullJets_gausYield = []
FullJets_gammaYield = []
for jT in FullJets_jT:
gausRMS = []
gammaRMS = []
gausRMSe = []
gammaRMSe = []
gausYield = []
gammaYield = []
gausYielde = []
gammaYielde = []
fits = []
parameters = []
for h, i in zip(jT, range(Njets)):
fit, d = fitJtHisto(h, '', 1, i, 8)
fits.append(fit)
parameters.append(d)
gausRMS.append(d['gausRMS'])
gausRMSe.append(d['gausRMSe'])
gammaRMS.append(d['gammaRMS'])
gammaRMSe.append(d['gammaRMSe'])
gausYield.append(d['gausYield'])
gausYielde.append(d['gausYielde'])
gammaYield.append(d['gammaYield'])
gammaYielde.append(d['gammaYielde'])
gausRMSg = Graph(len(gausRMS) - 2)
gammaRMSg = Graph(len(gammaRMS) - 2)
gausYieldg = Graph(len(gausYield) - 2)
gammaYieldg = Graph(len(gammaYield) - 2)
for h, he, g in zip((gausYield, gammaYield),
(gausYielde, gammaYielde),
(gausYieldg, gammaYieldg)):
for x, xe, a, e, i in zip(jetPtCenter[2:],
jetPtErrors[2:], h[2:], he[2:],
range(len(gausRMS) - 2)):
g.SetPoint(i, x, a)
g.SetPointError(i, xe, xe, e, e)
for a, b, c, d, e, f, i in zip(gausRMS[2:], gammaRMS[2:],
gausRMSe[2:], gammaRMSe[2:],
jetPtCenter[2:], jetPtErrors[2:],
range(len(gausRMS) - 2)):
gausRMSg.SetPoint(i, e, a)
gausRMSg.SetPointError(i, f, f, c, c)
gammaRMSg.SetPoint(i, e, b)
gammaRMSg.SetPointError(i, f, f, d, d)
FullJets_gausRMS.append(gausRMSg)
FullJets_gammaRMS.append(gammaRMSg)
FullJets_gausYield.append(gausYieldg)
FullJets_gammaYield.append(gammaYieldg)
FullJets_fit.append(fits)
FullJets_parameters.append(parameters)
outFile = "Python/RootFiles/Fig6.root"
outF = root_open(outFile, "w+")
for h1, h2, jT, R in zip(FullJets_gausRMS, FullJets_gammaRMS,
FullJets_jT, Rs):
h1.SetName("FullJets_gausRMS_R{:02d}".format(int(R * 10)))
h1.Write()
h2.SetName("FullJets_gammaRMS_R{:02d}".format(int(R * 10)))
h2.Write()
for h, i in zip(jT, range(10)):
h.SetName("jTSignalJetPt{:02d}_R{:02d}".format(i, int(R * 10)))
h.Write()
outF.Close()
fig, axs = plt.subplots(2, 1, figsize=(7, 7))
ax = axs[0]
ax.set_xlim([0.1, 15])
ax.set_ylim([5e-6, 2e3])
ax.set_xlabel(r'$j_{T}\left(GeV/c\right)$', fontsize=labelsize)
ax.set_ylabel(r'$\frac{1}{N_{jets}}\frac{dN}{j_{T}dj_{T}}$',
fontsize=labelsize)
ratios = []
ax.set_xscale('log')
ax.set_yscale('log')
for h, c, R in zip(FullJets_jT, (0, 1, 2, 3), Rs):
h[6].SetMarkerColor(colors[c])
h[6].SetMarkerStyle(styles[c])
h[6].SetLineColor(colors[c])
ratio = h[6].Clone()
ratio.Divide(FullJets_jT[1][6])
ratios.append(ratio)
plot = rplt.errorbar(h[6],
xerr=False,
emptybins=False,
label='R = {:.1f}'.format(R),
axes=ax,
fmt='+')
line = plot.get_children()[0]
line.set_markersize(mSize)
if (styles[c] > 23):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(colors[c])
ax.text(0.15,
0.001,
'Pythia \n Full Jets\n' + r'Anti-$k_T$' + '\n' +
r'$p_{{T,\mathrm{{jet}}}}$: {:02d}-{:02d} GeV/c'.format(60, 80),
fontsize=10)
handles, labels = ax.get_legend_handles_labels()
handles = [
container.ErrorbarContainer(h, has_xerr=False, has_yerr=True)
if isinstance(h, container.ErrorbarContainer) else h for h in handles
]
ax.legend(handles, labels, loc='upper right', numpoints=1)
#ax.legend(loc = 'upper right')
ax.set_xlim([0.1, 15])
ax.set_ylim([5e-6, 2e3])
ax.grid(True)
ax = axs[1]
ax.grid(True)
ax.set_xlabel(r'$j_{T}\left[GeV\right]$', fontsize=labelsize)
ax.set_ylabel('Ratio',
fontsize=labelsize) #Add x-axis labels for bottom row
for ratio, c in zip(ratios, (0, 1, 2, 3)):
#ratio.SetMarkerColor(c)
#ratio.SetMarkerStyle(24)
plot = rplt.errorbar(ratio, xerr=False, emptybins=False, axes=ax)
line = plot.get_children()[0]
line.set_markersize(mSize)
if (styles[c] > 23):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(colors[c])
ax.set_xlim([0.1, 15])
ax.set_ylim([0.1, 3])
ax.set_xscale('log')
plt.tight_layout()
plt.subplots_adjust(wspace=0, hspace=0) #Set space between subfigures to 0
#plt.savefig("PythonFigures/RcomparisonSignalPt6080.pdf".format(file),format='pdf') #Save figure
plt.show() #Draw figure on screen
drawWithErrors2Combined(FullJets_gausRMS,
FullJets_gammaRMS,
15,
500,
1,
0,
1.65,
0,
r'jet $p_T (GeV/c)$',
r'$\sqrt{\left<j_T^2\right>}$',
'Pythia',
'PythonFigures/RcomparisonRMS',
separate=True)
