def __init__(self,
varname,
raw_name,
target_name,
option='noskim',
max_entries=-1,
prescale=1,
prescale_phase=0,
rho=0.7):
#print 'DEBUG', self.__class__.__name__, '__init__'
common_args = [varname, option, max_entries, prescale, prescale_phase]
self.raw = DataSource(raw_name, *common_args)
self.target = DataSource(target_name, *common_args)
self.corrector = PhotonIdCorrector(self.raw.data, self.target.data,
rho)
self.postprocess_corrector()
def __init__(self, varname, raw_name, target_name, option='noskim',
max_entries=-1, prescale=1, prescale_phase=0, rho=0.7):
#print 'DEBUG', self.__class__.__name__, '__init__'
common_args = [varname, option, max_entries, prescale, prescale_phase]
self.raw = DataSource(raw_name , *common_args)
self.target = DataSource(target_name, *common_args)
self.corrector = PhotonIdCorrector(self.raw.data,
self.target.data, rho)
self.postprocess_corrector()
def test(max_entries = -1):
'''
Tests the PhotonIdCorrector class.
'''
global raw_data, target_data, corr, vplot
varname = 'setab'
option = 'skim10k'
raw_name = 's12-zllm50-v7n'
target_name = 'r12a-pho-j22-v1'
raw_data = get_dataset(raw_name, varname, max_entries, option)
target_data = get_dataset(target_name, varname, max_entries, option)
xvar = raw_data.get().first()
raw_data.SetTitle('Raw ' + raw_name.split('-')[0].capitalize())
target_data.SetTitle('Raw ' + target_name.split('-')[0].capitalize())
corr = PhotonIdCorrector(raw_data, target_data, rho=0.7)
corr.SetName('_'.join([raw_name.split('-')[0], 'to',
target_name.split('-')[0], varname, 'qqcorrector']))
corr.SetTitle(' '.join([raw_name.split('-')[0].capitalize(), 'to',
target_name.split('-')[0].capitalize(),
xvar.GetTitle(), 'Q-Q Corrector']))
plot = xvar.frame(roo.Title(raw_data.GetTitle()))
raw_data.plotOn(plot)
corr.xpdf.plotOn(plot)
canvases.next(varname + '_' + raw_name.split('-')[0]).SetGrid()
draw_and_append(plot)
plot = xvar.frame(roo.Title(target_data.GetTitle()))
target_data.plotOn(plot)
corr.ypdf.plotOn(plot)
canvases.next(varname + '_' + target_name.split('-')[0]).SetGrid()
draw_and_append(plot)
canvases.next(corr.GetName()).SetGrid()
draw_and_append(corr.get_correction_plot())
canvases.next(corr.GetName() + '_validation').SetGrid()
draw_and_append(corr.get_validation_plot())
canvases.update()
def test(max_entries=-1):
'''
Tests the PhotonIdCorrector class.
'''
global raw_data, target_data, corr, vplot
varname = 'setab'
option = 'skim10k'
raw_name = 's12-zllm50-v7n'
target_name = 'r12a-pho-j22-v1'
raw_data = get_dataset(raw_name, varname, max_entries, option)
target_data = get_dataset(target_name, varname, max_entries, option)
xvar = raw_data.get().first()
raw_data.SetTitle('Raw ' + raw_name.split('-')[0].capitalize())
target_data.SetTitle('Raw ' + target_name.split('-')[0].capitalize())
corr = PhotonIdCorrector(raw_data, target_data, rho=0.7)
corr.SetName('_'.join([
raw_name.split('-')[0], 'to',
target_name.split('-')[0], varname, 'qqcorrector'
]))
corr.SetTitle(' '.join([
raw_name.split('-')[0].capitalize(), 'to',
target_name.split('-')[0].capitalize(),
xvar.GetTitle(), 'Q-Q Corrector'
]))
plot = xvar.frame(roo.Title(raw_data.GetTitle()))
raw_data.plotOn(plot)
corr.xpdf.plotOn(plot)
canvases.next(varname + '_' + raw_name.split('-')[0]).SetGrid()
draw_and_append(plot)
plot = xvar.frame(roo.Title(target_data.GetTitle()))
target_data.plotOn(plot)
corr.ypdf.plotOn(plot)
canvases.next(varname + '_' + target_name.split('-')[0]).SetGrid()
draw_and_append(plot)
canvases.next(corr.GetName()).SetGrid()
draw_and_append(corr.get_correction_plot())
canvases.next(corr.GetName() + '_validation').SetGrid()
draw_and_append(corr.get_validation_plot())
canvases.update()
class QQExtractor:
'''
Extracts the Q-Q corrections for photon ID variables.
'''
#__________________________________________________________________________
def __init__(self,
varname,
raw_name,
target_name,
option='noskim',
max_entries=-1,
prescale=1,
prescale_phase=0,
rho=0.7):
#print 'DEBUG', self.__class__.__name__, '__init__'
common_args = [varname, option, max_entries, prescale, prescale_phase]
self.raw = DataSource(raw_name, *common_args)
self.target = DataSource(target_name, *common_args)
self.corrector = PhotonIdCorrector(self.raw.data, self.target.data,
rho)
self.postprocess_corrector()
## End of QQExtractor.__init__(..)
#__________________________________________________________________________
def postprocess_corrector(self):
'''
Customizes corrector name and title and updetes raw and target sources
with corrector pdfs.
'''
name = '_'.join([self.raw.xvar.GetName(), 'qq'])
title = ' '.join([
self.raw.xvar.GetTitle(),
self.raw.name.split('-')[0].capitalize(), 'to',
self.target.name.split('-')[0].capitalize(), 'Q-Q Corrector'
])
self.corrector.SetName(name)
self.corrector.SetTitle(title)
self.raw.pdf = self.corrector.xpdf
self.target.pdf = self.corrector.ypdf
## End of QQExtractor.postprocess_corrector()
#__________________________________________________________________________
def make_plots(self):
'''
Makes plots of the raw and target source, the corrector function,
and the corrected data.
'''
for src in [self.raw, self.target]:
plot = self.get_plot_of_source(src)
canvases.next(src.varname + '_' + src.data.GetName()).SetGrid()
self.draw_and_append(plot)
## Also with log scale on y-axis
c = canvases.next(src.varname + '_' + src.data.GetName() + '_logy')
c.SetGrid()
c.SetLogy()
plot.Draw()
canvases.next(self.corrector.GetName()).SetGrid()
self.draw_and_append(self.corrector.get_correction_plot())
canvases.next(self.corrector.GetName() + '_adiff').SetGrid()
self.draw_and_append(self.corrector.get_absolute_difference_plot())
canvases.next(self.corrector.GetName() + '_rdiff').SetGrid()
self.draw_and_append(self.corrector.get_relative_difference_plot())
plot = self.corrector.get_validation_plot()
cname = self.corrector.GetName() + '_validation'
canvases.next(cname).SetGrid()
self.draw_and_append(plot)
## Also y-axis log-scale
canvases.next(cname + '_logy').SetGrid()
canvases.canvases[-1].SetLogy()
plot.Draw()
## End of QQExtractor.make_plots(..)
#__________________________________________________________________________
def get_plot_of_source(self, source):
plot = source.xvar.frame(roo.Title(source.data.GetTitle()))
source.data.plotOn(plot)
source.pdf.plotOn(plot)
return plot
## End of QQExtractor.get_plot_of_source()
#__________________________________________________________________________
def draw_and_append(self, plot):
if not hasattr(self, 'plots'):
self.plots = []
plot.Draw()
self.plots.append(plot)
## End of QQExtractor.draw_and_append(plot)
#__________________________________________________________________________
def write_corrector_to_file(self, file_name):
self.corrector.write_to_file(file_name, False)
## Also as an interpolation graph
graph = self.corrector.get_interpolation_graph()
out_file = ROOT.TFile.Open(file_name, "update")
graph.Write()
out_file.Write()
out_file.Close()
class QQExtractor:
'''
Extracts the Q-Q corrections for photon ID variables.
'''
#__________________________________________________________________________
def __init__(self, varname, raw_name, target_name, option='noskim',
max_entries=-1, prescale=1, prescale_phase=0, rho=0.7):
#print 'DEBUG', self.__class__.__name__, '__init__'
common_args = [varname, option, max_entries, prescale, prescale_phase]
self.raw = DataSource(raw_name , *common_args)
self.target = DataSource(target_name, *common_args)
self.corrector = PhotonIdCorrector(self.raw.data,
self.target.data, rho)
self.postprocess_corrector()
## End of QQExtractor.__init__(..)
#__________________________________________________________________________
def postprocess_corrector(self):
'''
Customizes corrector name and title and updetes raw and target sources
with corrector pdfs.
'''
name = '_'.join([self.raw.xvar.GetName(), 'qq'])
title = ' '.join([self.raw.xvar.GetTitle(),
self.raw .name.split('-')[0].capitalize(), 'to',
self.target.name.split('-')[0].capitalize(),
'Q-Q Corrector'])
self.corrector.SetName(name)
self.corrector.SetTitle(title)
self.raw .pdf = self.corrector.xpdf
self.target.pdf = self.corrector.ypdf
## End of QQExtractor.postprocess_corrector()
#__________________________________________________________________________
def make_plots(self):
'''
Makes plots of the raw and target source, the corrector function,
and the corrected data.
'''
for src in [self.raw, self.target]:
plot = self.get_plot_of_source(src)
canvases.next(src.varname + '_' + src.data.GetName()).SetGrid()
self.draw_and_append(plot)
## Also with log scale on y-axis
c = canvases.next(src.varname + '_' + src.data.GetName() + '_logy')
c.SetGrid()
c.SetLogy()
plot.Draw()
canvases.next(self.corrector.GetName()).SetGrid()
self.draw_and_append(self.corrector.get_correction_plot())
canvases.next(self.corrector.GetName() + '_adiff').SetGrid()
self.draw_and_append(self.corrector.get_absolute_difference_plot())
canvases.next(self.corrector.GetName() + '_rdiff').SetGrid()
self.draw_and_append(self.corrector.get_relative_difference_plot())
plot = self.corrector.get_validation_plot()
cname = self.corrector.GetName() + '_validation'
canvases.next(cname).SetGrid()
self.draw_and_append(plot)
## Also y-axis log-scale
canvases.next(cname + '_logy').SetGrid()
canvases.canvases[-1].SetLogy()
plot.Draw()
## End of QQExtractor.make_plots(..)
#__________________________________________________________________________
def get_plot_of_source(self, source):
plot = source.xvar.frame(roo.Title(source.data.GetTitle()))
source.data.plotOn(plot)
source.pdf.plotOn(plot)
return plot
## End of QQExtractor.get_plot_of_source()
#__________________________________________________________________________
def draw_and_append(self, plot):
if not hasattr(self, 'plots'):
self.plots = []
plot.Draw()
self.plots.append(plot)
## End of QQExtractor.draw_and_append(plot)
#__________________________________________________________________________
def write_corrector_to_file(self, file_name):
self.corrector.write_to_file(file_name, False)
## Also as an interpolation graph
graph = self.corrector.get_interpolation_graph()
out_file = ROOT.TFile.Open(file_name, "update")
graph.Write()
out_file.Write()
out_file.Close()
