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Copy pathrun_CharmFemto.py
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run_CharmFemto.py
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import argparse
import luigi
from alive_progress import alive_bar
import sys
import os
import fempy
# from CompareGraphs import CompareGraphs
luigi.interface.core.log_level="WARNING"
def MakeSuffix(**kwargs):
suffix = ''
if kwargs.get('sample') is not None:
suffix += '_' + kwargs['sample']
if kwargs.get('cleaner') is not None:
suffix += '_' + kwargs['cleaner']
if kwargs.get('kStarBW') is not None:
suffix += '_kStarBW' + str(kwargs['kStarBW']) + 'MeV'
if kwargs.get('sgnFitFunc') is not None:
suffix += '_' + kwargs['sgnFitFunc']
if kwargs.get('charmMassBW') is not None:
suffix += f'_charmMassBW{kwargs["charmMassBW"]:.1f}MeV'
if kwargs.get('lowKStarCharmMassBW') is not None:
suffix += f'_lowKStarCharmMassBW{kwargs["lowKStarCharmMassBW"]:.1f}MeV'
if kwargs.get('until') is not None:
suffix += f'_until{kwargs["until"]:.1f}MeV'
if kwargs.get('origin') is not None:
suffix += '_' + kwargs['origin']
if kwargs.get('fitRange') is not None:
suffix += f'_fitRange-{kwargs["fitRange"][0]}-{kwargs["fitRange"][1]}MeV'
if kwargs.get('bl') is not None:
suffix += '_' + kwargs['bl']
if kwargs.get('bootstrap') is not None and kwargs.get('bootstrap') > 0:
suffix += '_bootstrap' + str(kwargs['bootstrap'])
if kwargs.get('syst') is not None:
suffix += '_syst'
return suffix
analysisBasePath = ''
datasets = {}
pair = ''
def Chunkyfy(array, nElemPerChunk=50):
nChunks = len(array)%nElemPerChunk
return [array[iChunk*nElemPerChunk:nElemPerChunk * (iChunk +1)] for iChunk in range(nChunks)]
class CharmFemtoTask(luigi.Task):
data_version = luigi.Parameter()
cleaner = luigi.Parameter()
kStarBW = luigi.IntParameter(default=-1)
def get_labels(version, sample):
return [label for (_, label) in datasets[version][sample]]
class MakeDirTreeTask(luigi.Task):
data_version = luigi.Parameter()
def dir_tree(self):
return [
os.path.join(analysisBasePath, self.data_version),
os.path.join(analysisBasePath, self.data_version, 'distr'),
os.path.join(analysisBasePath, self.data_version, 'cf'),
os.path.join(analysisBasePath, self.data_version, 'comparisons'),
]
def run(self):
for folder in self.dir_tree():
print("creating directory:", folder)
if not os.path.exists(folder):
os.mkdir(folder)
def output(self):
return [luigi.LocalTarget(dir) for dir in self.dir_tree()]
class MakeDistrTask(CharmFemtoTask):
sample = luigi.Parameter()
kStarBW = luigi.FloatParameter(default=-1)
nJobs = luigi.IntParameter()
doSyst = luigi.IntParameter(default='false')
doQA = luigi.Parameter(default='false')
origin = luigi.Parameter(default='')
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.origin = self.origin if self.origin == '' else f'_{self.origin}'
def run(self):
print("Merging the distributions")
oFile = f"~/an/{pair}/{self.data_version}/distr/Distr_{self.sample}_{self.cleaner}"
if self.kStarBW > 0:
oFile +=f"_kStarBW{self.kStarBW}MeV"
oFile += f"{self.origin}.root"
inFileNames = []
for label in get_labels(self.data_version, self.sample):
inFileName = f"/home/daniel/an/{pair}/{self.data_version}/distr/Distr_{self.sample}_{self.cleaner}"
if self.kStarBW > 0:
inFileName += f"_kStarBW{self.kStarBW}MeV"
inFileName += f"_{label}{self.origin}.root"
inFileNames.append(inFileName)
inFiles = " ".join(inFileNames)
if inFiles != '':
fempy.info(f"hadd {oFile} {inFiles}")
os.system(f"cp {inFileNames[0]} {oFile}")
with alive_bar(len(inFileNames[1:]), force_tty=True) as bar:
for chunk in Chunkyfy(inFileNames[1:]): # merge one by one to avoid exploding the RAM
print('Merging:', chunk)
command = f'hadd -v 1 -a -j 16 {oFile} {" ".join(chunk)}'
print("piririr", command)
os.system(command)
bar()
# sum charge combos
fempy.info(f"python3 SumPairs.py {oFile}")
os.system(f"python3 SumPairs.py {oFile}")
def requires(self):
# print("Compiling MakeDistr.C macro...")
# os.system('root -l -b -q -e ".L /home/daniel/phsw/fempy/MakeDistr.C+"')
# print("Executing projection with the following parameters:\n",
# [(f,
# f'{self.sample}_{self.cleaner}_kStarBW{self.kStarBW}MeV_{lab}{self.origin}',
# self.data_version,
# self.sample,
# self.kStarBW,
# self.nJobs,
# self.cleaner,
# self.doSyst,
# self.origin,
# "true",
# ) for (f, lab) in datasets[self.data_version][self.sample]])
if len(datasets[self.data_version][self.sample]) == 0:
return None
suffixes = []
files = []
for (f, lab) in datasets[self.data_version][self.sample]:
suffix=f'{self.sample}_{self.cleaner}'
if self.kStarBW > 0:
suffix += f'_kStarBW{self.kStarBW}MeV'
suffix += f'_{lab}{self.origin}'
suffixes.append(suffix)
files.append(f)
return [MakeOneDistrTask(
inFile=file,
suffix=suffix,
data_version=self.data_version,
sample=self.sample,
kStarBW=self.kStarBW,
nJobs=self.nJobs,
cleaner=self.cleaner,
doSyst=self.doSyst,
origin=self.origin,
# doOnlyFD=self.doOnlyFD,
doQA=self.doQA,
# uniq="true" if self.doSyst == 'false' and self.doOnlyFD == 'false' else 'false',
uniq='false',
doKStarSlices='true' if 'Dstar' in analysisBasePath else 'false',
nSelToKeep=20) for (file, suffix) in zip(files, suffixes)]
def output(self):
oFiles = []
for (_, datasetSuffix) in datasets[self.data_version][self.sample]:
fn = f'{analysisBasePath}/{self.data_version}/distr/Distr_{self.sample}_{self.cleaner}'
if self.kStarBW > 0:
fn += f'_kStarBW{self.kStarBW}MeV'
fn += f'_{datasetSuffix}{self.origin}.root'
oFiles.append(fn)
fnMerged = f'{analysisBasePath}/{self.data_version}/distr/Distr_{self.sample}_{self.cleaner}'
if self.kStarBW > 0:
fnMerged += f'_kStarBW{self.kStarBW}MeV'
fnMerged += f'{self.origin}.root'
oFiles.append(fn)
# print("ffff ", fnMerged)
return [luigi.LocalTarget(f) for f in oFiles] + [luigi.LocalTarget(fnMerged)]
class MakeOneDistrTask(luigi.Task):
inFile = luigi.Parameter()
suffix = luigi.Parameter()
uniq = luigi.Parameter()
cleaner = luigi.Parameter()
data_version = luigi.Parameter()
sample = luigi.Parameter()
kStarBW = luigi.FloatParameter()
nJobs = luigi.IntParameter()
origin = luigi.Parameter()
doSyst = luigi.Parameter(default='false')
doKStarSlices = luigi.Parameter(default='false')
nSelToKeep = luigi.IntParameter(default=0)
# doOnlyFD = luigi.Parameter(default='false')
doQA=luigi.Parameter(default='false')
macro = '/home/daniel/phsw/fempy/MakeDistr.C'
def run(self):
if pair == 'DPi':
if 'truthreco' in str(self.sample):
treeDir = "HM_CharmFemto_DpionMCtruthReco_Trees0"
elif '/sbl/' in str(self.inFile):
treeDir = "HM_CharmFemto_SBLeft_DplusPion_Trees0"
elif '/sbr/' in str(self.inFile):
treeDir = "HM_CharmFemto_SBRight_DplusPion_Trees0"
elif self.sample == 'data':
treeDir = "HM_CharmFemto_DplusPion_Trees0"
else:
treeDir = "HM_CharmFemto_Dpion_Trees0"
elif pair == 'DPiClosure':
# only data
treeDir = "HM_CharmFemto_Dpion_Trees0"
elif pair == 'DK':
if 'truthreco' in str(self.sample):
treeDir = "HM_CharmFemto_DkaonMCtruthReco_Trees0"
elif '/sbl/' in str(self.inFile):
treeDir = "HM_CharmFemto_SBLeft_Dkaon_Trees0"
elif '/sbr/' in str(self.inFile):
treeDir = "HM_CharmFemto_SBRight_Dkaon_Trees0"
else:
treeDir = "HM_CharmFemto_Dkaon_Trees0"
elif pair == 'DstarPi':
if 'truthreco' in str(self.sample):
treeDir = "HM_CharmFemto_DstarPionMCtruthReco_Trees0"
else:
treeDir = "HM_CharmFemto_DstarPion_Trees0"
elif pair == 'DstarK':
if 'truthreco' in str(self.sample):
treeDir = "HM_CharmFemto_DstarKaonMCtruthReco_Trees0"
if 'data' in str(self.sample) or 'mcgp' in str(self.sample) or 'mchf' in str(self.sample):
treeDir = "HM_CharmFemto_DstarKaon_Trees0"
else:
fempy.error("not implemented.")
isMC = 'true' if self.sample in ['mcgp', 'mchf', 'mcgptruthreco', 'mcgptruthgen', 'mchftruthreco', 'mchftruthgen'] else 'false'
if 'truthreco' in str(self.sample):
cfg = f'/home/daniel/an/{pair}/cfg_selection_{self.cleaner}_mctruth{self.origin}.yml'
else:
cfg = f'/home/daniel/an/{pair}/cfg_selection_{self.cleaner}_syst{self.origin}.yml'
if not os.path.isfile(cfg):
fempy.error(f"the config file {cfg} doesn't exist.")
oDir = f"{analysisBasePath}/{self.data_version}/distr"
params = (
f'"{self.inFile}", '
f'"{cfg}", '
f'{isMC}, '
f'"{oDir}", '
f'"{pair}", '
f'"{self.suffix}", '
f'"{treeDir}", '
f'{self.uniq}, '
f'{self.doKStarSlices}, '
f'{self.kStarBW}, '
f'{self.doQA}, '
f'{self.doSyst}, '
f'{self.nSelToKeep}, '
f'{self.nJobs}'
)
fempy.info(f'Running one distr root -l -b -q \'{self.macro}+({params})')
os.system(f'root -l -b -q \'{self.macro}+({params})\'')
def output(self):
target = f'{analysisBasePath}/{self.data_version}/distr/Distr_{self.suffix}.root'
# print("Looking for file: ", target)
return luigi.LocalTarget(target)
def requires(self):
if pair == 'DPi':
if 'truthreco' in str(self.sample):
treeDir = "HM_CharmFemto_DpionMCtruthReco_Trees0"
elif '/sbl/' in str(self.inFile):
treeDir = "HM_CharmFemto_SBLeft_DplusPion_Trees0"
elif '/sbr/' in str(self.inFile):
treeDir = "HM_CharmFemto_SBRight_DplusPion_Trees0"
elif self.sample == 'data':
treeDir = "HM_CharmFemto_DplusPion_Trees0"
else:
treeDir = "HM_CharmFemto_Dpion_Trees0"
elif pair == 'DPiClosure':
# only data
treeDir = "HM_CharmFemto_Dpion_Trees0"
elif pair == 'DK':
if 'truthreco' in str(self.sample):
treeDir = "HM_CharmFemto_DkaonMCtruthReco_Trees0"
elif '/sbl/' in str(self.inFile):
treeDir = "HM_CharmFemto_SBLeft_Dkaon_Trees0"
elif '/sbr/' in str(self.inFile):
treeDir = "HM_CharmFemto_SBRight_Dkaon_Trees0"
else:
treeDir = "HM_CharmFemto_Dkaon_Trees0"
elif pair == 'DstarPi':
if 'truthreco' in str(self.sample):
treeDir = "HM_CharmFemto_DstarPionMCtruthReco_Trees0"
else:
treeDir = "HM_CharmFemto_DstarPion_Trees0"
elif pair == 'DstarK':
if 'truthreco' in str(self.sample):
treeDir = "HM_CharmFemto_DstarKaonMCtruthReco_Trees0"
if 'data' in str(self.sample) or 'mcgp' in str(self.sample) or 'mchf' in str(self.sample):
treeDir = "HM_CharmFemto_DstarKaon_Trees0"
else:
fempy.error("not implemented.")
isMC = 'true' if self.sample in ['mcgp', 'mchf', 'mcgptruthreco', 'mcgptruthgen', 'mchftruthreco', 'mchftruthgen'] else 'false'
if 'truthreco' in str(self.sample):
cfg = f'/home/daniel/an/{pair}/cfg_selection_{self.cleaner}_mctruth{self.origin}.yml'
else:
cfg = f'/home/daniel/an/{pair}/cfg_selection_{self.cleaner}_syst{self.origin}.yml'
if not os.path.isfile(cfg):
fempy.error(f"the config file {cfg} doesn't exist.")
oDir = f"{analysisBasePath}/{self.data_version}/distr"
params = (
f'"{self.inFile}", '
f'"{cfg}", '
f'{isMC}, '
f'"{oDir}", '
f'"{pair}", '
f'"{self.suffix}", '
f'"{treeDir}", '
f'{self.uniq}, '
f'{self.doKStarSlices}, '
f'{self.kStarBW}, '
f'{self.doQA}, '
f'{self.doSyst}, '
f'{self.nSelToKeep}, '
f'{self.nJobs}'
)
print(f'root -l -b -q \'{self.macro}+({params})\'')
# if pair == 'DPi':
# if self.sample == 'data':
# treeDir = "HM_CharmFemto_DplusPion_Trees0"
# else:
# treeDir = "HM_CharmFemto_Dpion_Trees0"
# elif pair == 'DK':
# treeDir = "HM_CharmFemto_Dkaon_Trees0"
# elif pair == 'DstarPi':
# treeDir = "HM_CharmFemto_DstarPion_Trees0"
# isMC = 'true' if self.sample in ['mcgp', 'mchf', 'mcgptruthreco', 'mcgptruthgen', 'mchftruthreco', 'mchftruthgen'] else 'false'
# if self.sample == 'mcgptruthreco':
# cfg = f'/home/daniel/an/{pair}/cfg_selection_{self.cleaner}_mctruth{self.origin}.yml'
# else:
# cfg = f'/home/daniel/an/{pair}/cfg_selection_{self.cleaner}_syst{self.origin}.yml'
# oDir = f"{analysisBasePath}/{self.data_version}/distr"
# params = f'"{self.inFile}", "{cfg}", {isMC}, {self.nSelToKeep}, "{oDir}", "{pair}", "{self.suffix}", {self.kStarBW}, "{treeDir}", {self.uniq}, {self.doOnlyFD}, {self.doSyst}, {self.nJobs}'
# print(f'lalalalal root -l -b -q \'{self.macro}+({params})')
return MakeDirTreeTask(data_version=self.data_version)
class ComputeCFTask(luigi.Task):
data_version = luigi.Parameter()
sample = luigi.Parameter()
cleaner = luigi.Parameter()
uniq = luigi.BoolParameter(default=False)
fitMass = luigi.BoolParameter(default=False)
kStarBW = luigi.FloatParameter()
sgnFitFunc = luigi.OptionalParameter(default=None)
bkgFitFunc = luigi.OptionalParameter(default=None)
aliFitter = luigi.BoolParameter(default=False)
charmMassBW = luigi.OptionalFloatParameter(default=None) # MeV
lowKStarCharmMassBW = luigi.FloatParameter(default=-1)
lowKStarMax = luigi.FloatParameter(default=-1)
origin = luigi.OptionalParameter(default=None)
def make_suffix(self):
suffix = f'{self.sample}_{self.cleaner}_kStarBW{self.kStarBW}MeV'
if self.sgnFitFunc is not None:
suffix += f'_{self.sgnFitFunc}'
if self.charmMassBW is not None:
suffix += f'_charmMassBW{self.charmMassBW}MeV'
if self.lowKStarCharmMassBW > 0 and self.lowKStarMax > 0:
suffix += f'_lowKStarCharmMassBW{self.lowKStarCharmMassBW:.1f}MeV_until{self.lowKStarMax:.0f}MeV'
if self.aliFitter:
suffix += '_aliFitter'
if self.uniq:
suffix += '_uniq'
return suffix
def run(self):
inFile = f"~/an/{pair}/{self.data_version}/distr/Distr_{self.sample}_{self.cleaner}_kStarBW{self.kStarBW}MeV"
if self.origin == 'true':
inFile += '_true'
inFile += '.root'
parameters = f'--pair {pair} '
parameters += f'{inFile} '
parameters += f'{analysisBasePath}/{self.data_version}/cf/ '
if self.sgnFitFunc is not None and self.bkgFitFunc is not None:
parameters += f'--sgnFitFunc {self.sgnFitFunc} '
parameters += f'--bkgFitFunc {self.bkgFitFunc} '
if self.charmMassBW is not None:
parameters += f'--charmMassBW {self.charmMassBW} '
parameters += f'--suffix {self.make_suffix()} '
parameters += f'--kStarBW {self.kStarBW} '
if self.aliFitter:
parameters += '--aliFitter '
if self.lowKStarCharmMassBW > 0 and self.lowKStarMax > 0:
parameters += f'--lowKStarCharmMassBW {self.lowKStarCharmMassBW:.1f} {self.lowKStarMax:.0f} '
if (self.uniq):
parameters += '--uniq '
if self.fitMass:
parameters += '--fitMass '
command = f"python3 ComputeDstarCFTrick.py {parameters}"
fempy.info(f"Running: {command}")
os.system(command)
def output(self):
return luigi.LocalTarget(f'{analysisBasePath}/{self.data_version}/cf/RawCF_{self.make_suffix()}.root')
def requires(self):
return MakeDirTreeTask(data_version=self.data_version)
class ComputeGenCFTask(CharmFemtoTask):
charmMassBW = luigi.OptionalParameter(default=None)
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.suffix = MakeSuffix(cleaner=self.cleaner, kStarBW=self.kStarBW, charmMassBW=self.charmMassBW)
def run(self):
inFile = os.path.join(analysisBasePath, self.data_version, f'cf/RawCF_data{self.suffix}.root')
cfg = f'/home/daniel/phsw/fempy/cfg_gencf_{pair}_{self.kStarBW}MeV.yml'
oFile = os.path.join(analysisBasePath, self.data_version, f'cf/GenCF{self.suffix}.root')
command = f'python3 ComputeGenCF.py {inFile} {cfg} {oFile}'
os.system(command)
def output(self):
return luigi.LocalTarget(os.path.join(analysisBasePath, self.data_version, f'cf/GenCF{self.suffix}.root'))
class FitGenCFTask(CharmFemtoTask):
charmMassBW = luigi.OptionalParameter(default=None)
bl = luigi.OptionalStrParameter(default=None)
fitRange = luigi.OptionalTupleParameter(default=(10, 500))
bootstrap = luigi.OptionalIntParameter(default=0)
syst = luigi.OptionalBoolParameter(default=False)
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.oSuffix = MakeSuffix(cleaner=self.cleaner, kStarBW=self.kStarBW, charmMassBW=self.charmMassBW, bl=self.bl, fitRange=self.fitRange, bootstrap=self.bootstrap, syst=self.syst)
self.inSuffix = MakeSuffix(cleaner=self.cleaner, kStarBW=self.kStarBW, charmMassBW=self.charmMassBW)
def run(self):
inFile = os.path.join(analysisBasePath, self.data_version, f'cf/GenCF{self.inSuffix}.root')
oFile = os.path.join(analysisBasePath, self.data_version, f'cf/GenCFFit{self.oSuffix}.root')
command = f'python3 FitCF.py --pair {pair} {inFile} {oFile} --fitRange {int(self.fitRange[0])} {int(self.fitRange[1])}'
if self.bl is not None:
command += ' --bl ' + self.bl
if self.bootstrap is not None:
command += ' --bootstrap ' + str(self.bootstrap)
if self.syst is not None:
command += ' --syst '
print(command)
os.system(command)
def output(self):
oFile = os.path.join(analysisBasePath, self.data_version, f'cf/GenCFFit{self.oSuffix}.root')
print(oFile)
return luigi.LocalTarget(oFile)
class DPiTask(CharmFemtoTask):
def run(self):
for mc in ['mcgp', 'mcgptruthreco']:
fromc = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_fromc.root"
fromb = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_fromb.root"
fromu = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_fromu.root"
fromq = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_fromq.root"
true = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_true.root"
if os.path.isfile(fromc) and os.path.isfile(fromb):
print(f'---> hadd -n 10 {fromq} {fromc} {fromb}')
os.system(f'hadd -n 10 {fromq} {fromc} {fromb}')
if os.path.isfile(fromc) and os.path.isfile(fromb) and os.path.isfile(fromu):
print(f'---> hadd -n 10 {true} {fromc} {fromb} {fromu}')
os.system(f'hadd -n 10 {true} {fromc} {fromb} {fromu}')
def requires(self):
# yield MakeDirTreeTask(data_version=self.data_version)
if False and 'data' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="data", nJobs=1, cleaner=self.cleaner, doSyst='true', doQA='false')
if False and 'mcgp' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromb')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromu')
if False and 'mchf' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mchf", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mchf", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromb')
if 'mcgptruthreco' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromb')
yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromu')
if False and 'mchftruthreco' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mchftruthreco", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mchftruthreco", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromb')
yield MakeDistrTask(data_version=self.data_version, sample="mchftruthreco", nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromu')
class DKTask(CharmFemtoTask):
def run(self):
# Merge MCGP
for mc in ['mcgp', 'mcgptruthreco']:
fromc = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_fromc.root"
fromb = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_fromb.root"
fromu = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_fromu.root"
fromq = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_fromq.root"
true = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_true.root"
if os.path.isfile(fromc) and os.path.isfile(fromb):
print(f'---> hadd -n 10 {fromq} {fromc} {fromb}')
os.system(f'hadd -n 10 {fromq} {fromc} {fromb}')
if os.path.isfile(fromc) and os.path.isfile(fromb) and os.path.isfile(fromu):
print(f'---> hadd -n 10 {true} {fromc} {fromb} {fromu}')
os.system(f'hadd -n 10 {true} {fromc} {fromb} {fromu}')
def requires(self):
yield MakeDirTreeTask(data_version=self.data_version)
yield MakeDistrTask(data_version=self.data_version, sample="data", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='true', doQA='true')
if 'mcgp' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromb')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromu')
if 'mchf' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mchf", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mchf", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromb')
if 'mcgptruthreco' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromb')
yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromu')
if 'mchftruthreco' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mchftruthreco", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mchftruthreco", kStarBW=self.kStarBW, nJobs=1, cleaner=self.cleaner, doSyst='false', doQA='true', origin='fromb')
class DstarKTask(CharmFemtoTask):
def run(self):
print(f'{analysisBasePath}/{self.data_version}/comparisons/rawcf/cfg_compare_stdSBCorr.yml')
# yield CompareGraphs(f'~/an/DstarPi/comparisons/rawcf/cfg_compare_stdSBCorr.yml')
def requires(self):
if 'data' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="data", nJobs=12, kStarBW=self.kStarBW, cleaner=self.cleaner, doSyst='true', doQA='false')
yield ComputeCFTask(
data_version=self.data_version,
sample="data",
cleaner=self.cleaner,
kStarBW=self.kStarBW,
aliFitter=False),
if 'mchf' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mchf", nJobs=12, kStarBW=self.kStarBW, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mchf", nJobs=12, kStarBW=self.kStarBW, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromb')
if 'mcgp' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromb')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromu')
# yield ComputeCFTask(
# data_version=self.data_version,
# sample="mcgp",
# cleaner=self.cleaner,
# kStarBW=self.kStarBW,
# charmMassBW=0.2,
# origin='true'),
if 'data' in datasets[self.data_version] and 'mcgp' in datasets[self.data_version]:
yield ComputeGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW)
yield FitGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW, bl='const', fitRange=(10, 400))
yield FitGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW, bl='const', fitRange=(10, 500))
yield FitGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW, bl='const', fitRange=(10, 1000))
yield FitGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW, bl='const', fitRange=(10, 500), bootstrap=30, syst=True)
class DstarPiTask(CharmFemtoTask):
def run(self):
pass
# for mc in ['mcgp', 'mcgptruthreco']:
# fromc = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_kStarBW{self.kStarBW}MeV_fromc.root"
# fromb = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_kStarBW{self.kStarBW}MeV_fromb.root"
# fromu = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_kStarBW{self.kStarBW}MeV_fromu.root"
# fromq = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_kStarBW{self.kStarBW}MeV_fromq.root"
# true = f"{analysisBasePath}/{self.data_version}/distr/Distr_{mc}_{self.cleaner}_kStarBW{self.kStarBW}MeV_true.root"
# if os.path.isfile(fromc) and os.path.isfile(fromb):
# print(f'---> hadd -n 10 {fromq} {fromc} {fromb}')
# os.system(f'hadd -n 10 {fromq} {fromc} {fromb}')
# if os.path.isfile(fromc) and os.path.isfile(fromb) and os.path.isfile(fromu):
# print(f'---> hadd -n 10 {true} {fromc} {fromb} {fromu}')
# os.system(f'hadd -n 10 {true} {fromc} {fromb} {fromu}')
# yield CompareGraphs(f'{analysisBasePath}/{self.data_version}/comparisons/uniq/cfg_compare_uniq.yml')
def requires(self):
if 'data' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="data", kStarBW=self.kStarBW, nJobs=10, cleaner=self.cleaner, doSyst='true', doQA='false')
yield ComputeCFTask(
data_version=self.data_version,
sample="data",
cleaner=self.cleaner,
kStarBW=self.kStarBW,
sgnFitFunc="gaus",
bkgFitFunc="powex",
charmMassBW=0.2,
lowKStarCharmMassBW=0.4,
lowKStarMax=50,
fitMass=True,
aliFitter=False)
# yield ComputeCFTask(
# data_version=self.data_version,
# sample="data",
# cleaner=self.cleaner,
# kStarBW=self.kStarBW,
# sgnFitFunc="gaus",
# bkgFitFunc="powex",
# charmMassBW=0.2,
# lowKStarCharmMassBW=0.4,
# lowKStarMax=50,
# fitMass=True,
# uniq=True,
# aliFitter=False)
if 'mchf' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mchf", kStarBW=self.kStarBW, nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mchf", kStarBW=self.kStarBW, nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromb')
if 'mcgp' in datasets[self.data_version]:
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", kStarBW=self.kStarBW, nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromc')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", kStarBW=self.kStarBW, nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromb')
yield MakeDistrTask(data_version=self.data_version, sample="mcgp", kStarBW=self.kStarBW, nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromu')
print('-------------> ', self.kStarBW)
yield ComputeCFTask(
data_version=self.data_version,
sample="mcgp",
cleaner=self.cleaner,
kStarBW=self.kStarBW,
origin='true')
if 'mcgptruthreco' in datasets[self.data_version]:
# yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", kStarBW=self.kStarBW, nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromc')
# yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", kStarBW=self.kStarBW, nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromb')
# yield MakeDistrTask(data_version=self.data_version, sample="mcgptruthreco", kStarBW=self.kStarBW, nJobs=12, cleaner=self.cleaner, doSyst='false', doQA='false', origin='fromu')
yield ComputeCFTask(
data_version=self.data_version,
sample="mcgptruthreco",
cleaner=self.cleaner,
kStarBW=self.kStarBW,
origin='true')
# if 'data' in datasets[self.data_version] and 'mcgp' in datasets[self.data_version]:
# yield ComputeGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW)
# # yield FitGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW, bl='const', fitRange=(10, 400))
# # yield FitGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW, bl='const', fitRange=(10, 500))
# # yield FitGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW, bl='const', fitRange=(10, 1000))
# yield FitGenCFTask(data_version=self.data_version, cleaner=self.cleaner, kStarBW=self.kStarBW, bl='const', fitRange=(10, 500), bootstrap=30, syst=True)
# yield ComputeCFTask(
# data_version=self.data_version,
# sample="data",
# cleaner=self.cleaner,
# kStarBW=self.kStarBW,
# sgnFitFunc="gaus",
# bkgFitFunc="powex",
# charmMassBW=0.2,
# lowKStarCharmMassBW=0.4,
# lowKStarMax=50,
# fitMass=True,
# aliFitter=True)
# yield ComputeCFTask(
# data_version=self.data_version,
# sample="data",
# cleaner=self.cleaner,
# kStarBW=self.kStarBW,
# sgnFitFunc="gaus",
# bkgFitFunc="powex",
# charmMassBW=0.2,
# lowKStarCharmMassBW=0.4,
# lowKStarMax=50,
# fitMass=True,
# aliFitter=False)
# yield ComputeCFTask(
# data_version=self.data_version,
# sample="data",
# cleaner=self.cleaner,
# kStarBW=self.kStarBW,
# sgnFitFunc="hat",
# bkgFitFunc="powex",
# charmMassBW=0.2,
# lowKStarCharmMassBW=0.4,
# lowKStarMax=50,
# fitMass=True,
# aliFitter=False)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("pair", choices=('DstarPi', 'DstarK', 'DPi', 'DK', 'DPiClosure'))
args = parser.parse_args()
pair = args.pair
analysisBasePath = f'/home/daniel/an/{pair}'
if pair == 'DstarPi':
datasets = {
"16_mixpions": {
"mcgp": [
("/data/DstarPi/16_mixpions/mcgp/AnalysisResults_4044.root", "4044"),
("/data/DstarPi/16_mixpions/mcgp/AnalysisResults_4046.root", "4046"),
("/data/DstarPi/16_mixpions/mcgp/AnalysisResults_4045.root", "4045"),
]
},
"18_fixmix": {
"data": [
("/data/DstarPi/18_fixmix/data/AnalysisResults_4654.root", "4654"),
("/data/DstarPi/18_fixmix/data/AnalysisResults_4655.root", "4655"),
("/data/DstarPi/18_fixmix/data/AnalysisResults_4656.root", "4656"),
("/data/DstarPi/18_fixmix/data/AnalysisResults_4657.root", "4657"),
],
},
"19_mix150": {
"mcgptruthreco": [
("/data/DstarPi/19_mix150/mcgptruthreco/AnalysisResults_4217.root", "4217"),
("/data/DstarPi/19_mix150/mcgptruthreco/AnalysisResults_4218.root", "4218"),
("/data/DstarPi/19_mix150/mcgptruthreco/AnalysisResults_4219.root", "4219"),
]
},
"20_luuksel": {
"data": [
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/001/AnalysisResults.root", "4726_001"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/002/AnalysisResults.root", "4726_002"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/003/AnalysisResults.root", "4726_003"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/004/AnalysisResults.root", "4726_004"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/005/AnalysisResults.root", "4726_005"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/006/AnalysisResults.root", "4726_006"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/007/AnalysisResults.root", "4726_007"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/008/AnalysisResults.root", "4726_008"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/009/AnalysisResults.root", "4726_009"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/010/AnalysisResults.root", "4726_010"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/011/AnalysisResults.root", "4726_011"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/012/AnalysisResults.root", "4726_012"),
("/data/DstarPi/20_luuksel/data/merge_4726/Stage_1/013/AnalysisResults.root", "4726_013"),
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