diff --git a/ganga/Lb2Lcmunu/DaVinci_Ganga_11_md.py b/ganga/Lb2Lcmunu/DaVinci_Ganga_11_md.py index bcbbaa5..ba80034 100644 --- a/ganga/Lb2Lcmunu/DaVinci_Ganga_11_md.py +++ b/ganga/Lb2Lcmunu/DaVinci_Ganga_11_md.py @@ -49,7 +49,7 @@ #------------------------------------------------------------------------------ # Define name for identifying the job (this name appears in the ganga job list) #------------------------------------------------------------------------------ -j.name = 'MyDaVinci' +j.name = 'Lb2Lcmunu_11_md' #------------------------------------------------------------------------------ #------------------------------------------------------------------------------ @@ -57,7 +57,9 @@ #------------------------------------------------------------------------------ # Define the configuration file(s) to use appOpts = j.application.user_release_area + '/DaVinci_' + j.application.version + '/Phys/DaVinci/options/' -j.application.optsfile = [ File ('/home/hep/mchrzasz/cmtuser/DaVinci_v36r5/Phys/DaVinci/options/Lb_SL/Lb2Lcmunu_S20_data_11_NEWJET.py' ), File('LHCbCollision11Beam3500GeV-VeloClosed-MagDownRealDataReco14Stripping20r190000000SEMILEPTONICDST.py') ] +path = '/afs/cern.ch/work/e/egraveri/Analysis/ganga/Lb2Lcmunu/' +j.application.optsfile = [ File(path + 'Lb2Lcmunu_S20_data_11_NEWJET.py' ), + File(path + 'LHCbCollision11Beam3500GeV-VeloClosed-MagDownRealDataReco14Stripping20r190000000SEMILEPTONICDST.py') ] # Extra options # Appended to the end of the main options to override default settings #j.application.extraopts = '' @@ -100,7 +102,7 @@ # SmartMerger - Able to handle various file formats (including root files) # See help( SmartMerger ) for more details -j.merger = SmartMerger( files = ['DVNtuples.root','DVHistos.root'], ignorefailed = True ) +j.merger = SmartMerger( files = ['DVNtuples.root', 'DVHistos.root'], ignorefailed = True ) #------------------------------------------------------------------------------ #------------------------------------------------------------------------------ # Output data @@ -125,7 +127,7 @@ # Submit to a PBS batch system #j.backend = PBS() # Submit to the grid. -j.backend = Dirac() +j.backend = Dirac() #------------------------------------------------------------------------------ #------------------------------------------------------------------------------ diff --git a/ganga/Lb2Lcmunu/DaVinci_Ganga_11_mu.py b/ganga/Lb2Lcmunu/DaVinci_Ganga_11_mu.py new file mode 100644 index 0000000..b9b02a3 --- /dev/null +++ b/ganga/Lb2Lcmunu/DaVinci_Ganga_11_mu.py @@ -0,0 +1,137 @@ +#$Id: DaVinci_Ganga.py,v 1.70 2010-09-07 15:53:14 jpalac Exp $ +#============================================================================== +# Example ganga job submission file +#============================================================================== +# +# Set ganga environment first with (e.g. lxplus) +# > GangaEnv +# Then choose your ganga version (default version is normally the best option) +# +# NB : This file is for the ganga 5 releases +# +# To submit you start ganga with the command "ganga" and then +# at the ganga prompt type +# +# [In] 1 : ganga DaVinci_Ganga.py +# +# As an alternative you can also submit the job directly from +# the Unix prompt with the line +# +# [user@lxplus]~% ganga DaVinci_Ganga.py +# +# but in this way you will have the overhead of starting Ganga +# for each job you submit. +# +#============================================================================== +# +# For more information on ganga see http://cern.ch/ganga +# +# In particular, if you think you have found a bug, or you wish to suggest +# some improvement in functionality, please report this at +# https://savannah.cern.ch/projects/ganga/ +# +# For Dirac jobs, you can monitor their status at +# http://lhcb.pic.es/DIRAC/Monitoring/Analysis +# +# For any ganga object used below, more detailed information can be found by +# running help(XXX) at the ganga prompt. I.e. +# > help(Dirac) +# For more information on the Dirac backend +# +#============================================================================== + +#------------------------------------------------------------------------------ +# Make a new job object for DaVinci +#------------------------------------------------------------------------------ +j = Job( application = DaVinci( version = 'v36r5' ) ) +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Define name for identifying the job (this name appears in the ganga job list) +#------------------------------------------------------------------------------ +j.name = 'Lb2Lcmunu_11_mu' +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# The job configuration +#------------------------------------------------------------------------------ +# Define the configuration file(s) to use +appOpts = j.application.user_release_area + '/DaVinci_' + j.application.version + '/Phys/DaVinci/options/' +path = '/afs/cern.ch/work/e/egraveri/Analysis/ganga/Lb2Lcmunu/' +j.application.optsfile = [ File(path + 'Lb2Lcmunu_S20_data_11_NEWJET.py' ), + File(path + 'LHCbCollision11Beam3500GeV-VeloClosed-MagUpRealDataReco14Stripping20r190000000SEMILEPTONICDST.py') ] +# Extra options +# Appended to the end of the main options to override default settings +#j.application.extraopts = '' +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Input data +# Can either be specified in the main configuration files (DaVinci.py etc.) or +# locally here as an LHCbDataset +#------------------------------------------------------------------------------ +#j.inputdata = LHCbDataset( files = [ +#'LFN:/lhcb/production/DC06/v1r0/00002000/DST/0000/00002000_00000004_3.dst' , +#'LFN:/lhcb/production/DC06/v1r0/00002000/DST/0000/00002000_00000005_3.dst' ] ) +#------------------------------------------------------------------------------ +# Define a job splitter (very useful for many input data files) +#------------------------------------------------------------------------------ +# Use a single job, no splitting +#j.splitter = None + +# Split jobs into 1 input file per job. max of 5 files in total +j.splitter = SplitByFiles ( filesPerJob = 10, maxFiles = -1 ) + +# This Splitter will query the Logical File Catalog (LFC) to find +# at which sites a particular file is stored. Subjobs will be created +# so that all the data required for each subjob is stored in +# at least one common location. This prevents the submission of jobs that +# are unrunnable due to data availability. +# Useful when using the Dirac backend (see below) +#j.splitter = DiracSplitter ( filesPerJob = 1, maxFiles = 5 ) +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Job merging (merge output from sub-jobs from job splitter, if used) +#------------------------------------------------------------------------------ +# No merging +#j.merger = None + +# Root file merging. See help( RootMerger ) for more details +#j.merger = RootMerger( files = ['DVNtuples.root','DVHistos.root'], ignorefailed = True ) + +# SmartMerger - Able to handle various file formats (including root files) +# See help( SmartMerger ) for more details +j.merger = SmartMerger( files = ['DVNtuples.root', 'DVHistos.root'], ignorefailed = True ) +#------------------------------------------------------------------------------ +#------------------------------------------------------------------------------ +# Output data +#j.outputdata = ["stdout"] +#------------------------------------------------------------------------------ +# Add here any special input files. Normally not needed. +#------------------------------------------------------------------------------ +j.inputsandbox = [] +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Define where to run +#------------------------------------------------------------------------------ +# Run interactively on the local machine +#j.backend = Interactive() +# Run directly on the local machine, but in the background +#j.backend = Local() +# Submit to an LSF batch system, using the 8nm queue +#j.backend = LSF( queue = '8nm' ) +# Submit to a condor batch system +#j.backend = Condor() +# Submit to a PBS batch system +#j.backend = PBS() +# Submit to the grid. +j.backend = Dirac() +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Submit the job +#------------------------------------------------------------------------------ +j.submit() +#------------------------------------------------------------------------------ diff --git a/ganga/Lb2Lcmunu/DaVinci_Ganga_12_md.py b/ganga/Lb2Lcmunu/DaVinci_Ganga_12_md.py new file mode 100644 index 0000000..8daecab --- /dev/null +++ b/ganga/Lb2Lcmunu/DaVinci_Ganga_12_md.py @@ -0,0 +1,137 @@ +#$Id: DaVinci_Ganga.py,v 1.70 2010-09-07 15:53:14 jpalac Exp $ +#============================================================================== +# Example ganga job submission file +#============================================================================== +# +# Set ganga environment first with (e.g. lxplus) +# > GangaEnv +# Then choose your ganga version (default version is normally the best option) +# +# NB : This file is for the ganga 5 releases +# +# To submit you start ganga with the command "ganga" and then +# at the ganga prompt type +# +# [In] 1 : ganga DaVinci_Ganga.py +# +# As an alternative you can also submit the job directly from +# the Unix prompt with the line +# +# [user@lxplus]~% ganga DaVinci_Ganga.py +# +# but in this way you will have the overhead of starting Ganga +# for each job you submit. +# +#============================================================================== +# +# For more information on ganga see http://cern.ch/ganga +# +# In particular, if you think you have found a bug, or you wish to suggest +# some improvement in functionality, please report this at +# https://savannah.cern.ch/projects/ganga/ +# +# For Dirac jobs, you can monitor their status at +# http://lhcb.pic.es/DIRAC/Monitoring/Analysis +# +# For any ganga object used below, more detailed information can be found by +# running help(XXX) at the ganga prompt. I.e. +# > help(Dirac) +# For more information on the Dirac backend +# +#============================================================================== + +#------------------------------------------------------------------------------ +# Make a new job object for DaVinci +#------------------------------------------------------------------------------ +j = Job( application = DaVinci( version = 'v36r5' ) ) +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Define name for identifying the job (this name appears in the ganga job list) +#------------------------------------------------------------------------------ +j.name = 'Lb2Lcmunu_12_md' +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# The job configuration +#------------------------------------------------------------------------------ +# Define the configuration file(s) to use +appOpts = j.application.user_release_area + '/DaVinci_' + j.application.version + '/Phys/DaVinci/options/' +path = '/afs/cern.ch/work/e/egraveri/Analysis/ganga/Lb2Lcmunu/' +j.application.optsfile = [ File(path + 'Lb2Lcmunu_S20_data_12_NEWJET.py' ), + File(path + 'LHCbCollision12Beam4000GeV-VeloClosed-MagDownRealDataReco14Stripping2090000000SEMILEPTONICDST.py') ] +# Extra options +# Appended to the end of the main options to override default settings +#j.application.extraopts = '' +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Input data +# Can either be specified in the main configuration files (DaVinci.py etc.) or +# locally here as an LHCbDataset +#------------------------------------------------------------------------------ +#j.inputdata = LHCbDataset( files = [ +#'LFN:/lhcb/production/DC06/v1r0/00002000/DST/0000/00002000_00000004_3.dst' , +#'LFN:/lhcb/production/DC06/v1r0/00002000/DST/0000/00002000_00000005_3.dst' ] ) +#------------------------------------------------------------------------------ +# Define a job splitter (very useful for many input data files) +#------------------------------------------------------------------------------ +# Use a single job, no splitting +#j.splitter = None + +# Split jobs into 1 input file per job. max of 5 files in total +j.splitter = SplitByFiles ( filesPerJob = 10, maxFiles = -1 ) + +# This Splitter will query the Logical File Catalog (LFC) to find +# at which sites a particular file is stored. Subjobs will be created +# so that all the data required for each subjob is stored in +# at least one common location. This prevents the submission of jobs that +# are unrunnable due to data availability. +# Useful when using the Dirac backend (see below) +#j.splitter = DiracSplitter ( filesPerJob = 1, maxFiles = 5 ) +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Job merging (merge output from sub-jobs from job splitter, if used) +#------------------------------------------------------------------------------ +# No merging +#j.merger = None + +# Root file merging. See help( RootMerger ) for more details +#j.merger = RootMerger( files = ['DVNtuples.root','DVHistos.root'], ignorefailed = True ) + +# SmartMerger - Able to handle various file formats (including root files) +# See help( SmartMerger ) for more details +j.merger = SmartMerger( files = ['DVNtuples.root', 'DVHistos.root'], ignorefailed = True ) +#------------------------------------------------------------------------------ +#------------------------------------------------------------------------------ +# Output data +#j.outputdata = ["stdout"] +#------------------------------------------------------------------------------ +# Add here any special input files. Normally not needed. +#------------------------------------------------------------------------------ +j.inputsandbox = [] +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Define where to run +#------------------------------------------------------------------------------ +# Run interactively on the local machine +#j.backend = Interactive() +# Run directly on the local machine, but in the background +#j.backend = Local() +# Submit to an LSF batch system, using the 8nm queue +#j.backend = LSF( queue = '8nm' ) +# Submit to a condor batch system +#j.backend = Condor() +# Submit to a PBS batch system +#j.backend = PBS() +# Submit to the grid. +j.backend = Dirac() +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Submit the job +#------------------------------------------------------------------------------ +j.submit() +#------------------------------------------------------------------------------ diff --git a/ganga/Lb2Lcmunu/DaVinci_Ganga_12_mu.py b/ganga/Lb2Lcmunu/DaVinci_Ganga_12_mu.py new file mode 100644 index 0000000..92ee847 --- /dev/null +++ b/ganga/Lb2Lcmunu/DaVinci_Ganga_12_mu.py @@ -0,0 +1,137 @@ +#$Id: DaVinci_Ganga.py,v 1.70 2010-09-07 15:53:14 jpalac Exp $ +#============================================================================== +# Example ganga job submission file +#============================================================================== +# +# Set ganga environment first with (e.g. lxplus) +# > GangaEnv +# Then choose your ganga version (default version is normally the best option) +# +# NB : This file is for the ganga 5 releases +# +# To submit you start ganga with the command "ganga" and then +# at the ganga prompt type +# +# [In] 1 : ganga DaVinci_Ganga.py +# +# As an alternative you can also submit the job directly from +# the Unix prompt with the line +# +# [user@lxplus]~% ganga DaVinci_Ganga.py +# +# but in this way you will have the overhead of starting Ganga +# for each job you submit. +# +#============================================================================== +# +# For more information on ganga see http://cern.ch/ganga +# +# In particular, if you think you have found a bug, or you wish to suggest +# some improvement in functionality, please report this at +# https://savannah.cern.ch/projects/ganga/ +# +# For Dirac jobs, you can monitor their status at +# http://lhcb.pic.es/DIRAC/Monitoring/Analysis +# +# For any ganga object used below, more detailed information can be found by +# running help(XXX) at the ganga prompt. I.e. +# > help(Dirac) +# For more information on the Dirac backend +# +#============================================================================== + +#------------------------------------------------------------------------------ +# Make a new job object for DaVinci +#------------------------------------------------------------------------------ +j = Job( application = DaVinci( version = 'v36r5' ) ) +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Define name for identifying the job (this name appears in the ganga job list) +#------------------------------------------------------------------------------ +j.name = 'Lb2Lcmunu_12_mu' +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# The job configuration +#------------------------------------------------------------------------------ +# Define the configuration file(s) to use +appOpts = j.application.user_release_area + '/DaVinci_' + j.application.version + '/Phys/DaVinci/options/' +path = '/afs/cern.ch/work/e/egraveri/Analysis/ganga/Lb2Lcmunu/' +j.application.optsfile = [ File(path + 'Lb2Lcmunu_S20_data_12_NEWJET.py' ), + File(path + 'LHCbCollision12Beam4000GeV-VeloClosed-MagUpRealDataReco14Stripping2090000000SEMILEPTONICDST.py') ] +# Extra options +# Appended to the end of the main options to override default settings +#j.application.extraopts = '' +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Input data +# Can either be specified in the main configuration files (DaVinci.py etc.) or +# locally here as an LHCbDataset +#------------------------------------------------------------------------------ +#j.inputdata = LHCbDataset( files = [ +#'LFN:/lhcb/production/DC06/v1r0/00002000/DST/0000/00002000_00000004_3.dst' , +#'LFN:/lhcb/production/DC06/v1r0/00002000/DST/0000/00002000_00000005_3.dst' ] ) +#------------------------------------------------------------------------------ +# Define a job splitter (very useful for many input data files) +#------------------------------------------------------------------------------ +# Use a single job, no splitting +#j.splitter = None + +# Split jobs into 1 input file per job. max of 5 files in total +j.splitter = SplitByFiles ( filesPerJob = 10, maxFiles = -1 ) + +# This Splitter will query the Logical File Catalog (LFC) to find +# at which sites a particular file is stored. Subjobs will be created +# so that all the data required for each subjob is stored in +# at least one common location. This prevents the submission of jobs that +# are unrunnable due to data availability. +# Useful when using the Dirac backend (see below) +#j.splitter = DiracSplitter ( filesPerJob = 1, maxFiles = 5 ) +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Job merging (merge output from sub-jobs from job splitter, if used) +#------------------------------------------------------------------------------ +# No merging +#j.merger = None + +# Root file merging. See help( RootMerger ) for more details +#j.merger = RootMerger( files = ['DVNtuples.root','DVHistos.root'], ignorefailed = True ) + +# SmartMerger - Able to handle various file formats (including root files) +# See help( SmartMerger ) for more details +j.merger = SmartMerger( files = ['DVNtuples.root', 'DVHistos.root'], ignorefailed = True ) +#------------------------------------------------------------------------------ +#------------------------------------------------------------------------------ +# Output data +#j.outputdata = ["stdout"] +#------------------------------------------------------------------------------ +# Add here any special input files. Normally not needed. +#------------------------------------------------------------------------------ +j.inputsandbox = [] +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Define where to run +#------------------------------------------------------------------------------ +# Run interactively on the local machine +#j.backend = Interactive() +# Run directly on the local machine, but in the background +#j.backend = Local() +# Submit to an LSF batch system, using the 8nm queue +#j.backend = LSF( queue = '8nm' ) +# Submit to a condor batch system +#j.backend = Condor() +# Submit to a PBS batch system +#j.backend = PBS() +# Submit to the grid. +j.backend = Dirac() +#------------------------------------------------------------------------------ + +#------------------------------------------------------------------------------ +# Submit the job +#------------------------------------------------------------------------------ +j.submit() +#------------------------------------------------------------------------------