def _root_in_Tes(self):
"""
Propagate RootInTES :
- use PhysConf.MicroDST
- set RooInTES property to all members of user sequence
"""
##
itype = self.getProp('InputType').upper()
if not 'MDST' == itype: return ## no action
#
if not self.isPropertySet('RootInTES'): return ## no action
rit = self.getProp('RootInTES')
if rit in ('', '/', '/Event', '/Event/'): return ## no action
#
## call uDstConf
#
from PhysConf.MicroDST import uDstConf
uDstConf(rit, logger=getLogger('PhysConf.MicroDST')) ## use it!
#
## setup RootInTES property for mainSeq
if not hasattr(self, 'mainSeq'): return
ms = self.mainSeq
def _set_root_in_tes_(s, root):
#
if isinstance(s, str): return
prps = s.getProperties().keys()
if 'RootInTES' in prps:
if not s.isPropertySet('RootInTES'):
log.info("Set RootInTES=%s for %s" % (root, s.getName()))
s.RootInTES = root
#
if not 'Members' in prps: return
#
for a in s.Members:
_set_root_in_tes_(a, root)
_set_root_in_tes_(ms, rit)
""" # ============================================================================= __author__ = "Vanya BELYAEV [email protected]" __date__ = "2013-09-01" __version__ = "$Revision:$" # ============================================================================= from GaudiKernel.SystemOfUnits import MeV, GeV # ============================================================================= # logging # ============================================================================= try: from AnalysisPython.Logger import getLogger _name = __name__ if 0 == _name.find('__'): _name = 'C&Y' logger = getLogger(_name) except: from Gaudi.Configuration import log as logger # ============================================================================= # ============================================================================= # 0. get upsilons from DIMUON.DST # ============================================================================= ups_name = 'FullDSTDiMuonDiMuonHighMass' from PhysSelPython.Wrappers import AutomaticData ups = AutomaticData('/Event/Dimuon/Phys/%sLine/Particles' % ups_name) # =============================================================================
# ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-06-08" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, os import Ostap.PyRoUts from Ostap.Data import Data, DataAndLumi from Ostap.Utils import timing # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.TestKisa') else: logger = getLogger(__name__) # ============================================================================= logger.info('Test Data') # ============================================================================= # data patterns: ganga = '/afs/cern.ch/work/i/ibelyaev/public/GANGA/workspace/ibelyaev/LocalXML' if os.path.exists('/mnt/shared/VMDATA/LocalXML'): ganga = '/mnt/shared/VMDATA/LocalXML' # ============================================================================= patterns = [ ganga + '/358/*/output/CY.root', ## 2k+11,down ganga + '/359/*/output/CY.root', ## 2k+11,up ganga + '/356/*/output/CY.root', ## 2k+12,down ganga + '/357/*/output/CY.root', ## 2k+12,up
import ROOT
from AnalysisPython.PyRoUts import *
# ========================================================================
from AnalysisPython.Logger import getLogger
logger = getLogger(__name__)
# Trigger
cuts_trg = "((psi_l0tos & 2) == 2)"
cuts_trg += "&& ((psi_l1tos & 2) == 2)"
cuts_trg += "&& ((psi_l2tos & 2) == 2)"
# Cuts
cuts_ = " DTFchi2ndof > 0"
cuts_ += "&& DTFchi2ndof < 5"
cuts_ += "&& DTFctau > 0.25"
cuts_ += "&& vchi2_b < 20"
cuts_ += "&& pt_pion[0] > 0.3 && pt_pion[1] > 0.3"
cuts_ += "&& pt_kaon > 0.6"
cuts_ += "&& m_jpsi > 3.020 && m_jpsi < 3.135"
cuts_ += "&& minann_K > 0.3 && minann_pi > 0.3"
cuts_ += "&& MIPCHI2DV_k > 12. && MIPCHI2DV_pi1 > 12. && MIPCHI2DV_pi2 > 12."
mctrue = " && mcTrueB && mcTruePsi && mcTruePi1 && mcTruePi2 && mcTrueK && mcTrueMu1 && mcTrueMu2"
cuts_Bu = cuts_ + "&& " + cuts_trg
cuts_mc = cuts_Bu + mctrue
def prntCuts(cuts, prefix=""):
for cut in cuts.split("&&"):
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-05-10" __all__ = () ## nothing to be imported # ============================================================================= import ROOT from Ostap.PyRoUts import * from Ostap.Utils import rooSilent # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.TestOther') else: logger = getLogger(__name__) # ============================================================================= logger.info('Test for signal it models from Analysis/Ostap') # ============================================================================= ## make simple test mass2 = ROOT.RooRealVar('test_mass2', 'Some test mass', 0, 10) x = mass2 ## book very simple data set varset2 = ROOT.RooArgSet(mass2) import Ostap.FitModels as Models events = 5000
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-05-10" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, random from Ostap.PyRoUts import * from Ostap.Utils import rooSilent # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.TestModels') else: logger = getLogger(__name__) # ============================================================================= logger.info('Test for signal it models from Analysis/Ostap') # ============================================================================= ## make simple test mass mass = ROOT.RooRealVar('test_mass', 'Some test mass', 3.0, 3.2) ## book very simple data set varset0 = ROOT.RooArgSet(mass) dataset0 = ROOT.RooDataSet(dsID(), 'Test Data set-0', varset0) mmin = mass.getMin() mmax = mass.getMin()
# # tests for weighted fits and model with convolution # # @author Vanya BELYAEV [email protected] # @date 2014-05-11 # # $Revision$ # Last modification $Date$ # by $Author$ # ============================================================================= import ROOT from Ostap.PyRoUts import * from Ostap.Utils import rooSilent # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__: logger = getLogger('Ostap.TestWeighted') else: logger = getLogger(__name__) # ============================================================================= logger.info('Test for weighted fits and model with convolution') # ============================================================================ RAD = ROOT.RooAbsData if RAD.Tree != RAD.getDefaultStorageType(): logger.info('DEFINE default storage type to be TTree! ') RAD.setDefaultStorageType(RAD.Tree) # ============================================================================ # The variables # ============================================================================ m_b = ROOT.RooRealVar('mB', 'm(B)', 5.2, 5.4) m_phi = ROOT.RooRealVar('mPhi', 'm(Phi)', 1.0, 1.050) h_phi = m_phi.histo(50)
"""
__version__ = "$Id: Configuration.py,v 1.125 2010-09-10 11:31:19 jpalac Exp $"
__author__ = "Juan Palacios <*****@*****.**>"
from LHCbKernel.Configuration import *
from Configurables import GaudiSequencer
from Configurables import (LHCbConfigurableUser, LHCbApp, PhysConf,
AnalysisConf, DstConf, L0Conf, LumiAlgsConf)
from LumiAlgs.LumiIntegratorConf import LumiIntegratorConf
import GaudiKernel.ProcessJobOptions
#
##
#
from AnalysisPython.Logger import getLogger
log = getLogger('DaVinci')
class DaVinci(LHCbConfigurableUser):
__slots__ = {
# Application Configuration : sent to LHCbApp and Gaudi
"EvtMax":
-1 # Number of events to analyse
,
"SkipEvents":
0 # Number of events to skip at beginning for file
,
"PrintFreq":
1000 # The frequency at which to print event numbers
,
Tests for various background fit models """ # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-05-10" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, random from Ostap.PyRoUts import * # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__ : logger = getLogger ( 'Ostap.TestCmp' ) else : logger = getLogger ( __name__ ) # ============================================================================= logger.info ( 'Test for specific historgam comparisons') # ============================================================================= # ## histos for gaussian distributions # h1g = ROOT.TH1D ( hID() , '' , 40 , -5 , 5 ) ; h1g.Sumw2() h2g = ROOT.TH1D ( hID() , '' , 40 , -5 , 5 ) ; h2g.Sumw2() h3g = ROOT.TH1D ( hID() , '' , 20 , -5 , 5 ) ; h3g.Sumw2()
$Revision$
Last modification $Date$
by $Author$
"""
# =============================================================================
__author__ = 'Vanya BELYAEV [email protected]'
__date__ = "2012-03-16"
__version__ = '$Revision$'
__all__ = (
'dumpToFile' ,
'readFile' ,
)
# =============================================================================
import ROOT, os
from AnalysisPython.Logger import getLogger
if __name__ in ( '__main__' , '__builtin__' ) : logger = getLogger ('DumpRootObjects')
else : logger = getLogger ( __name__ )
# ============================================================================
def dumpToFile ( objects , fbase = 'ROOT_Objects_%d_%s.root' ) :
fname = fbase % ( ROOT.gROOT.GetVersionInt() ,
os.environ['CMTCONFIG'] )
f = ROOT.TFile( fname , 'RECREATE' )
for o in objects : o.Write()
f.ls ()
f.Close ()
# by $Author$ # ============================================================================= """ Test for ROOT6 problem with copy-constructor and cast-operators see https://sft.its.cern.ch/jira/browse/ROOT-6627 """ # ============================================================================= __version__ = "$Revision$" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2011-06-07" # ============================================================================= import ROOT from AnalysisPython.Logger import getLogger logger = getLogger('TestVE') VE = ROOT.Gaudi.Math.ValueWithError a = VE(1, 1) logger.info('a = %s +- %s ' % (a.value(), a.error())) b = VE(a) logger.info('b = %s +- %s ' % (b.value(), b.error())) jira = 'https://sft.its.cern.ch/jira/browse/ROOT-6627' if a.error() != b.error(): logger.error('Wrong result, the problem %s is not solved yet ' % jira) logger.error('ROOT Version %s' % ROOT.gROOT.GetVersion()) raise TypeError('Values are not equal: %s != %s' % (a.error(), b.error()))
# # @author Vanya BELYAEV [email protected] # @date 2014-05-11 # # $Revision$ # Last modification $Date$ # by $Author$ # ============================================================================= """ Tests for various background fit models """ import ROOT from Ostap.PyRoUts import * # ========================================================================================== from AnalysisPython.Logger import getLogger if '__main__' == __name__: logger = getLogger('Ostap.TestFlatte') else: logger = getLogger(__name__) # ========================================================================================== logger.info('Compare Breit and Flatte') # ========================================================================================== import Ostap.FitModels as Models from Ostap.Utils import rootWarning m_X = 3.87156 g_X = 0.001 m_Jpsi = 3.0960 m_pipi = 0.4000 mass = ROOT.RooRealVar('m', 'mass(J/psi pipi)', 3.868, 3.88) bw = cpp.Gaudi.Math.BreitWigner(m_X, g_X, m_Jpsi, m_pipi, 0) breit = Models.BreitWigner_pdf('BW', bw, mass=mass, mean=m_X, gamma=g_X)
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-06-21" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, random from Ostap.PyRoUts import * from Ostap.Utils import rooSilent, timing # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__ : logger = getLogger( 'Ostap.TestDBs' ) else : logger = getLogger( __name__ ) # ============================================================================= import os,tempfile # db_sql_name = tempfile.mktemp ( suffix = '.msql' ) db_zip_name = tempfile.mktemp ( suffix = '.zdb' ) db_root_name = tempfile.mktemp ( suffix = '.root' ) # # ============================================================================= import Ostap.ZipShelve as ZipShelve import Ostap.SQLiteShelve as SQLiteShelve import Ostap.RootShelve as RootShelve # bins = 1000
""" # ============================================================================ __version__ = "$Revision:$" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-12-10" __all__ = ( 'data' , 'm_psi' ) # ============================================================================ import ROOT, random from Ostap.PyRoUts import * import Ostap.ZipShelve as DBASE # ============================================================================ # logging # ============================================================================ from AnalysisPython.Logger import getLogger if __name__ in ( '__main__' , '__builtin__' ) : logger = getLogger( 'OstapTutor.TestData1') else : logger = getLogger( __name__ ) logger.info ('Create 1D dataset for Ostap Tutorial ') # ============================================================================ from OstapTutor.TestVars1 import m_psi # ## create data set # varset = ROOT.RooArgSet ( m_psi ) data = ROOT.RooDataSet ( dsID() , 'Data set for Ostap tutorial' , varset ) # ## fill it! #
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2015-02-07" __all__ = () ## nothing to be imported # ============================================================================= import ROOT from Ostap.PyRoUts import * from Ostap.Utils import rooSilent # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.TestPoly') else: logger = getLogger(__name__) # ============================================================================= logger.info('Test for some polynomials models from Analysis/Ostap') # ============================================================================= ## make simple test mass2 = ROOT.RooRealVar('test_mass3', 'Some test mass', 2, 10) x = mass2 ## book very simple data set varset2 = ROOT.RooArgSet(mass2) import Ostap.FitModels as Models events = 10000
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-05-10" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, random, math, os from Ostap.PyRoUts import * import Ostap.ZipShelve as DBASE # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.TestReweight') else: logger = getLogger(__name__) # ============================================================================= RAD = ROOT.RooAbsData if RAD.Tree != RAD.getDefaultStorageType(): logger.info('DEFINE default storage type to be TTree! ') RAD.setDefaultStorageType(RAD.Tree) # ============================================================================= logger.info('Test for Reweighting machinery') # ============================================================================= testdatadb = 'testdata.db' if not os.path.exists(testdatadb): # logger.info('Test RANDOM data will be generated') ## prepare"data" histogram: lets use simple exponential and non-equidistance bins
""" # ============================================================================ __version__ = "$Revision:$" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-12-10" __all__ = ('m_psi', 'm_psi1', 'm_phi', 'm_phi1', 'm_D0', 'm_ups') # ============================================================================ import ROOT, random from Ostap.PyRoUts import * import Ostap.ZipShelve as DBASE # ============================================================================ # logging # ============================================================================ from AnalysisPython.Logger import getLogger if __name__ in ('__main__', '__builtin__'): logger = getLogger('OstapTutor.TestVars1') else: logger = getLogger(__name__) logger.info('Create some varibales for Ostyap tutorial') # ============================================================================ # make simple test variable m_psi = ROOT.RooRealVar('mPsi', 'mass(mu+mu-)', 3.000, 3.200) m_psi1 = ROOT.RooRealVar('mPsi1', 'mass(mu+mu-)', 3.000, 3.200) # make simple test variable m_phi = ROOT.RooRealVar('mPhi', 'mass(K+K-)', 0.990, 1.050) m_phi1 = ROOT.RooRealVar('mPhi1', 'mass(K+K-)', 1.000, 1.050) # make simple test variable m_D0 = ROOT.RooRealVar('m_D0', 'mass(K^{-}#pi^{+})', 1.82, 1.92)
'logInfo', ## helper function to control output level
'logWarning', ## helper function to control output level
'logError', ## helper function to control output level
'logColor', ## context manager to switch on color logging locally
'logNoColor', ## context manager to switch off color logging locally
'noColor', ## context manager to switch off color logging locally
'colored_string', ## helper function to colorize the string
)
# =============================================================================
## import actual logger
from AnalysisPython.Logger import (getLogger, setLogging, logLevel, logVerbose,
logDebug, logInfo, logWarning, logError,
logColor, logNoColor, noColor, make_colors,
reset_colors, colored_string)
# =============================================================================
if '__main__' == __name__: logger = getLogger('Bender.Logger')
else: logger = getLogger(__name__)
# =============================================================================
if __name__ == '__main__':
import logging
logging.disable(logging.VERBOSE - 1)
logger.info(80 * '*')
logger.info(__doc__)
logger.info(' Author : %s ' % __author__)
logger.info(' Version : %s ' % __version__)
logger.info(' Date : %s ' % __date__)
logger.info(' Symbols : %s ' % list(__all__))
logger.info(80 * '*')
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-06-08" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, random from Ostap.PyRoUts import * from Ostap.Utils import rooSilent # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.TestCorr2D') else: logger = getLogger(__name__) # ============================================================================= logger.info('') # ============================================================================= ## make simple test vars m_x = ROOT.RooRealVar('x', 'Some test-(X)', -100, 100) m_y = ROOT.RooRealVar('y', 'Some test-(Y)', -100, 100) # m1 = VE(0, 5) m2 = VE(0, 5) RAD = ROOT.RooAbsData if RAD.Tree != RAD.getDefaultStorageType(): logger.info('DEFINE default storage type to be TTree! ')
Example fo simmple fit """ # ============================================================================ __version__ = "$Revision:$" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-12-10" __all__ = ('data', 'm_psi') # ============================================================================ import ROOT, random from Ostap.PyRoUts import * # ============================================================================ # logging # ============================================================================ from AnalysisPython.Logger import getLogger if __name__ in ('__main__', '__builtin__'): logger = getLogger('fit1') else: logger = getLogger(__name__) logger.info('Simple fit') # ============================================================================ ## 1) import dataset and variable from OstapTutor.TestData1 import m_psi, data logger.info('Data: %s' % data) ## 2) create the model: signnal + background import Ostap.FitModels as Models ## 2a) create the signal : gaussian here
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-06-08" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, os import Ostap.PyRoUts from Ostap.Data import Data, DataAndLumi # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.TestData') else: logger = getLogger(__name__) # ============================================================================= logger.info('Test Data') # ============================================================================= # data patterns: ganga = '/afs/cern.ch/work/i/ibelyaev/public/GANGA/workspace/ibelyaev/LocalXML' if os.path.exists('/mnt/shared/VMDATA/LocalXML'): ganga = '/mnt/shared/VMDATA/LocalXML' # ============================================================================= patterns = [ ganga + '/358/*/output/CY.root', ## 2k+11,down ganga + '/359/*/output/CY.root', ## 2k+11,up ganga + '/356/*/output/CY.root', ## 2k+12,down ganga + '/357/*/output/CY.root', ## 2k+12,up
# $Revision:$
# Last modification $Date:$
# by $Author:$
# =========================================================================================
""" Simple examples how to get data
- collect files
- build the chain
- get integrated lumi
"""
# =========================================================================================
import ROOT
from Ostap.PyRoUts import *
from Ostap.Data import DataAndLumi as Data
from AnalysisPython.Logger import getLogger
# ==========================================================================================
if '__main__' == __name__ : logger = getLogger('OstapTutor/data3')
else : logger = getLogger( __name__ )
# ==========================================================================================
## define the default storage for data set
RAD = ROOT.RooAbsData
if RAD.Tree != RAD.getDefaultStorageType() :
logger.info ( 'DEFINE default storage type to be TTree! ')
RAD.setDefaultStorageType ( RAD.Tree )
ganga = '/afs/cern.ch/work/i/ibelyaev/public/GANGA/workspace/ibelyaev/LocalXML'
## ganga = '/mnt/shared/VMDATA/LocalXML'
patterns = [
ganga + '/356/*/output/CY.root' , ## 2k+12,down
""" # ============================================================================ __version__ = "$Revision:$" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-12-10" __all__ = ('data', 'm_psi', 'm_phi') # ============================================================================ import ROOT, random from Ostap.PyRoUts import * import Ostap.ZipShelve as DBASE # ============================================================================ # logging # ============================================================================ from AnalysisPython.Logger import getLogger if __name__ in ('__main__', '__builtin__'): logger = getLogger('OstapTutor.TestData5') else: logger = getLogger(__name__) logger.info('Create 1D dataset for Ostap Tutorial ') # ============================================================================ RAD = ROOT.RooAbsData if RAD.Tree != RAD.getDefaultStorageType(): logger.info('DEFINE default storage type to be TTree! ') RAD.setDefaultStorageType(RAD.Tree) # ============================================================================ x = ROOT.RooRealVar('x', 'x', 0, 10) varset = ROOT.RooArgSet(x) import Ostap.FitModels as Models
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# =========================================================================================
import ROOT
from Ostap.PyRoUts import *
# ==========================================================================================
from AnalysisPython.Logger import getLogger
if '__main__' == __name__: logger = getLogger('work_CY/cuts')
else: logger = getLogger(__name__)
# ==========================================================================================
logger.info('Define some basic cuts for Y+charm analysis')
# ==========================================================================================
from OstapTutor.TestVars1 import m_D0, m_Dp, m_Ds, m_Lc, m_Y
hD0 = m_D0.histo(100)
hDp = m_Dp.histo(90)
hDs = m_Ds.histo(140)
hLc = m_Lc.histo(90)
hY = m_Y.histo(400)
pileup = ROOT.RooRealVar('pileup', 'log10(chi2_DTF)', -2, 6)
hD0Y = ROOT.TH2D(hID(), '', 20, 9.0, 11.0, 16, 1.82, 1.90)
hD0Y.Sumw2()
hDpY = ROOT.TH2D(hID(), '', 20, 9.0, 11.0, 16, 1.82, 1.90)
hDpY.Sumw2()
hDsY = ROOT.TH2D(hID(), '', 20, 9.0, 11.0, 16, 1.92, 2.00)
hDsY.Sumw2()
hLcY = ROOT.TH2D(hID(), '', 20, 9.0, 11.0, 16, 2.245, 2.325)
hLcY.Sumw2()
Example fo simmple fit """ # ============================================================================ __version__ = "$Revision:$" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-12-10" __all__ = ( 'data' , 'm_psi' ) # ============================================================================ import ROOT, random from Ostap.PyRoUts import * # ============================================================================ # logging # ============================================================================ from AnalysisPython.Logger import getLogger if __name__ in ( '__main__' , '__builtin__' ) : logger = getLogger( 'fit1') else : logger = getLogger( __name__ ) logger.info ('Simple fit') # ============================================================================ ## 1) import dataset and variable from OstapTutor.TestData2 import m_psi, data logger.info ( 'Data: %s' % data ) ## 2) create the model: signnal + background import Ostap.FitModels as Models ## 2a) create the signal :
# @date 2011-04-15
# =============================================================================
"""
A file which starts the full calibration process with the Mass Distribution Fit
Method.
Usage:
> python RunMassDistributionCalibration.py
"""
## General things
import os, re, random, socket
## Printouts
from AnalysisPython.Logger import getLogger
loggerIt = getLogger('Iterator:')
loggerAn = getLogger('Analyser:')
## Kali modules responsible for filling and fitting the histograms
from KaliCalo.MassDistribution.FillTask import fillDatabase
from KaliCalo.MassDistribution.Analyse import analyse
## Kali. Just Kali
import KaliCalo.Kali as Kali
## Modules to treat the output
## (histograms and calibration constants)
import KaliCalo.Kali.LambdaMap as LambdaMap
import KaliCalo.ZipShelve as zs
from KaliCalo.MassDistribution import HistoMap
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-05-10" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, random from Ostap.PyRoUts import * from Ostap.Utils import rooSilent # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.Test2DModels2') else: logger = getLogger(__name__) # ============================================================================= logger.info('Test for 2D nonfactorizable fit models from Analysis/Ostap') # ============================================================================= ## make simple test mass m_x = ROOT.RooRealVar('mass_x', 'Some test mass(X)', 3, 3.2) m_y = ROOT.RooRealVar('mass_y', 'Some test mass(Y)', 3, 3.2) ## book very simple data set varset = ROOT.RooArgSet(m_x, m_y) dataset = ROOT.RooDataSet(dsID(), 'Test Data set-1', varset) m = VE(3.100, 0.015**2)
## @class TrackRefitting
# Wrapper to configure tools for the RefitParticleTracks
# @author Paul Seyfert
# @data 26/11/2015
__author__ = "Paul Seyfert <*****@*****.**>"
from LHCbKernel.Configuration import *
from Gaudi.Configuration import appendPostConfigAction
from Gaudi.Configuration import *
from Configurables import TrackInitFit, TrackMasterFitter
from TrackFitter.ConfiguredFitters import ConfiguredMasterFitter
from Configurables import TrackMasterFitter, TrackStateInitTool, FastVeloFitLHCbIDs
from AnalysisPython.Logger import getLogger
log = getLogger('TrackRefitting')
def ConfigureFitter(fituser, fitAsIn="2015", EnergyLossFactor=1.0):
'''
provide a configured TrackInitFit for a DaVinciAlgorithm (or tool)
Keyword arguments:
fituser -- the Tool/Algorithm which uses a TrackInitFit
fitAsIn -- which reconstruction should be mimiced, possible values ['2015','EM2015','Reco14']
EnergyLossFactor -- modify dE/dx in the material to assess the momentum uncertainty due to the uncertainty on the material budget
'''
fituser.addTool(TrackInitFit, "TrackInitFit")
fituser.TrackInitFit.addTool(TrackMasterFitter, name="Fit")
fituser.TrackInitFit.addTool(TrackStateInitTool, name="Init")
fituser.TrackInitFit.Init.UseFastMomentumEstimate = True
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2015-03-10" __all__ = () ## nothing to be imported # ============================================================================= import ROOT,random from Ostap.PyRoUts import * from Ostap.Utils import rooSilent # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__ : logger = getLogger ( 'Ostap.TestHFit' ) else : logger = getLogger ( __name__ ) # ============================================================================= logger.info ( 'Test for histogtram fits') # ============================================================================= ## make simple test mass2 = ROOT.RooRealVar ( 'test_mass2' , 'Some test mass' , 0 , 10 ) x = mass2 ## book very simple data set varset2 = ROOT.RooArgSet ( mass2 ) import Ostap.FitModels as Models events = 50000
""" # ============================================================================= __version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2014-05-10" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, random from Ostap.PyRoUts import * from Ostap.Utils import timing # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__ : logger = getLogger ( 'Ostap.TestHParam' ) else : logger = getLogger ( __name__ ) # ============================================================================= logger.info ( 'Test for various parameterizations of histograms') # ============================================================================= from Ostap.HParamDeco import legendre_sum, chebyshev_sum # ## histos for exponential distribution # h1 = ROOT.TH1F( hID() , 'histogram(expo)' , 100, 0 , 1 ) ; h1.Sumw2() h2 = ROOT.TH1F( hID() , 'histogram(expo)' , 100, 0 , 1 ) ; h2.Sumw2() h3 = ROOT.TH1F( hID() , 'histogram(expo)' , 100, 0 , 1 ) ; h3.Sumw2()
__version__ = "$Revision:" __author__ = "Vanya BELYAEV [email protected]" __date__ = "2015-10-26" __all__ = () ## nothing to be imported # ============================================================================= import ROOT, random, os from array import array from Ostap.PyRoUts import * from Ostap.TFileDeco import ROOTCWD from Ostap.progress_bar import progress_bar # ============================================================================= # logging # ============================================================================= from AnalysisPython.Logger import getLogger if '__main__' == __name__ or '__builtin__' == __name__: logger = getLogger('Ostap.TestTMVA') else: logger = getLogger(__name__) # ============================================================================= data_file = 'tmva_data.root' tmva_file = 'TMVA_MLP_weights.xml' if not os.path.exists(data_file): nB = 20000 nS = 10000 logger.info('Prepare input ROOT file with data') with ROOT.TFile.Open(data_file, 'recreate') as test_file: ## test_file.cd() treeSignal = ROOT.TTree('S', 'signal tree') treeBkg = ROOT.TTree('B', 'background tree')
> gaudirun.py BandQ.py $BANDQCONFIGROOT/scripts/DataTypoe-2011.py data.py > gaudirun.py BandQ.py $BANDQCONFIGROOT/scripts/DataTypoe-2012.py data.py """ # ============================================================================= __author__ = "Vanya BELYAEV [email protected]" __date__ = "$Date: 2012-12-18 16:28:58 +0100 (Tue, 18 Dec 2012) $" __version__ = "$Revision: 150278 $" # ============================================================================= ## logging # ============================================================================= try : from AnalysisPython.Logger import getLogger _name = __name__ if 0 == _name.find ( '__' ) : _name = 'WG/B&Q' logger = getLogger ( _name ) except: from Gaudi.Configuration import log as logger # ============================================================================= ## the_year = "2012" # ============================================================================= # 1. construct the proper basic selections # ============================================================================= # ## location of dimuon candidates in TES: # from GaudiKernel.SystemOfUnits import GeV, MeV, mm from PhysSelPython.Wrappers import AutomaticData
