Difference between revisions of "Offline Monitoring Archived Data"
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| − | '''2)''' Also update the '''<span style="color:red">INDATA_TOPDIR</span>''', '''<span style="color:red">OUTDIR_LARGE</span>''', and '''<span style="color:red">OUTDIR_SMALL</span>''' | + | '''2)''' Also update the paths for '''<span style="color:red">INDATA_TOPDIR</span>''', '''<span style="color:red">OUTDIR_LARGE</span>''' (for trees and histograms), and '''<span style="color:red">OUTDIR_SMALL</span>''' (for log files): |
<pre> | <pre> | ||
INDATA_TOPDIR /cache/halld/gluex_simulations/REQUESTED_MC/F2018_ver02_21_bggen_batch01_20211104064237pm/hddm | INDATA_TOPDIR /cache/halld/gluex_simulations/REQUESTED_MC/F2018_ver02_21_bggen_batch01_20211104064237pm/hddm | ||
Revision as of 18:15, 12 November 2021
Setup the Software & Environment
1) Checkout (or svn update) the launch scripts if needed:
svn co https://halldsvn.jlab.org/repos/trunk/scripts/monitoring/launch
2) You will need only the following 3 files:
launch.py script.sh jobs_analysis_bggen.config
Prepare the Launch
1) Update jobs_analysis_bggen.config. Be sure to update the location for the SCRIPTFILE, JANA_CONFIG, and ENVFILE where appropriate. The xml file that was used for the analysis launch for data should be chosen:
ENVFILE analysis-2017_01-ver46.xml
2) Also update the paths for INDATA_TOPDIR, OUTDIR_LARGE (for trees and histograms), and OUTDIR_SMALL (for log files):
INDATA_TOPDIR /cache/halld/gluex_simulations/REQUESTED_MC/F2018_ver02_21_bggen_batch01_20211104064237pm/hddm OUTDIR_LARGE /volatile/halld/home/$USER/bggen OUTDIR_SMALL /farm_out/$USER/bggen
3) Make a new jana_analysis.config with your channel:
PLUGINS monitoring_hists,ReactionFilter NTHREADS 16 COMBO:MAX_NEUTRALS 15 Reaction1 1_14__8_9_14 # pi+ pi- p Reaction1:Flags B4
4) Create the SWIF workflow. The workflow must match the workflow name in the job config file:
swif create -workflow <my_workflow>
5) Register jobs for the workflow:
~/monitoring/launch/launch.py jobs_analysis_bggen.config <run_min> <run_max>
6) Run the workflow:
swif run -workflow <my_workflow>
