ProductionProceduresMC

Introduction

This document outlines the procedures for running Monte Carlo (MC) production with POMS. MC jobs fall into two categories:

Simple jobs

• Process a single input file to produce one output using a standard FCL template.
• Examples: digitization, reconstruction, event ntupling.

This jobs are driven are driven by Production/Scripts/run_RecoEntuple.py script (needs a name change). The output from particular datasets needs to be saved on persistent area to avoid small files on tape. At the later stage, small files will have to be concatanated and saved on tape.

An example of POMS campaign that digitizes all the primaries: https://pomsgpvm02.fnal.gov/poms/campaign_stage_info/mu2e/production?campaign_stage_id=24194

Stage parameters are defined as such:

<syntaxhighlight lang="python"> Param_Overrides = [

   ['-Oglobal.dataset=',    '%(dataset)s'],
   ['--stage=',             'digireco_digi_list'],
   ['-Oglobal.release_v_o=','au'],
   ['-Oglobal.dbversion=',  'v1_3'],
   ['-Oglobal.fcl=',        'Production/JobConfig/digitize/OnSpill.fcl'],
   ['-Oglobal.nevent=',     '-1'],

] </syntaxhighlight>

Complex jobs

• Require unique, job-specific parameters and configurations.
• Examples: stage-1 processing, stage-2 resampling, mixing.

Current datasets

You can check recent datasets using listNewDatasets.sh The current datasets are also available: https://mu2ewiki.fnal.gov/wiki/MDC2020#Current_Datasets These webpage are geneted by nightly cron jobs: /exp/mu2e/app/home/mu2epro/cron/datasetMon/