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Task Location

/nfs/farm/g/glast/u38/Reprocess-tasks/P115-LEO-FT1

Task Status

http://glast-ground.slac.stanford.edu/Pipeline-II/index.jsp

Input Data Selection

MERIT (from P106-LEO-MERIT), FT2 (from P110-FT2)

Input Run List

ftp://ftp-glast.slac.stanford.edu/glast.u38/Reprocess-tasks/P115-LEO-FT1/config/runFile.txt

evtClassDefs

00-16-00

meritFilter

pass7_FSW_cuts,
(FswGamState==0||FswGamState==3) && (CTBCORE>0) && (CTBBestEnergyProb>0) && (CTBBestEnergy>10) && (CTBBestEnergyRatio<5) && (CTBClassLevel>0)

eventClassifier

Pass7_Classifier.py

ScienceTools

09-17-00 (SCons build)

Code Variant

redhat4-i686-32bit-gcc34 or redhat5-i686-32bit-gcc41

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Diffuse Model

/afs/slac.stanford.edu/g/glast/ground/releases/analysisFiles/diffuse/v2/source_model_v02.xml [[Ref

https://confluence.slac.stanford.edu/display/SCIGRPS/Diffuse+Model+for+Analysis+of+LAT+Data]]

]]></ac:plain-text-body></ac:structured-macro>

Diffuse Response IRFs

P7_v2_diff, P7_v2_extrad, P7_v2_datac

IRFs

implemented as 'custom irf', files in /afs/slac.stanford.edu/g/glast/ground/PipelineConfig/IRFS/Pass7.2

Output Data Products

FT1, LS1, LS3, ELECTRONFT1

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Note on diffuse response calculation: gtdiffrsp is called three times in succession. The first time with IRF P7_v2_diff and evclsmin==8, followed by IRF P7_v2_extrad and evclsmin==9, and finally IRF P7_v2_datac and evclsmin==10. The resulting FT1 file has six columns of diffuse response, two columns (galactic and extragalactic response) for each of the three IRFs. This creates a non-standard FT1 file by FSSC standards as they expect only five diffuse response columns.

Timing and Scaling

Wiki Markup
Timing is dominated by the gtdiffrsp steps in the mergeClumps job step.  This app is called three times to handle the event classes of interest.  There is a wide range of processing times due to: different classes of batch machines; different numbers of events to process; batch jobs being temporarily put into system suspend (SSUSP) states \[due to pre-emptive queues\]; or, possibly, due to processing dependencies in the data.  Elapsed processing time for a single run ranges from 4 to 12 hours (assuming no shortage of batch machines).  The average CPU time per clump is 228 min +/- 112 min.