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LPC Computing

Step 5: Digitizing the Events with ORCA

Here we will digitize the events produced by OSCAR with ORCA (Object-oriented Reconstruction for Cms Analysis)

cd $TOP
cmscvsroot ORCA
scram project ORCA ORCA_8_1_1
cd ORCA_8_1_1/src
cvs co -r ORCA_8_1_1 Examples/ExProduction
cd Examples/ExProduction/
scram build shared
scram build bin
eval `scram runtime -csh`
rehash

Check for the executables which have been created:

ls ${LOCALRT}/bin/Linux__2.4/

addDigis writeAllDigis writeHits writeStreams
cloneAllDigis writeCaloHits writeMuonHits writeTrackerHits
cloneDigi writeDST writeRecHits writeUserCollection

cd $SCRIPTS
setup kerberos
setup fbsng
fbs submit zprime_mumu_orca.jdf 8 10000 5

This will submit job with 8 ORCA digitization processes into the batch queue where each process will process 5 events. The run numbers will range from 10000 to 10003. This run numbers should match with the runs created by CMKIN and simulated with OSCAR. In this example the digitization is done without adding any pile up events.

In the next step we use the output of the digitisation process to create the DST sample which is then used for the final analysis (contains persistant high level objects)

cd $SCRIPTS
setup kerberos
setup fbsng
fbs submit zprime_mumu_dst.jdf 8 10000 5

Continue to Next Step


  1. General setup
  2. Available data sets in DST format
  3. Event generation on the farm with CMKIN (Pythia), Analysis of the generator level output.
  4. Simulate the events with OSCAR.
  5. Digitize with ORCA and produce DST's
  6. Run a muon ROOT Tree maker looking at the DST and make some simple plots
Webmaster | Last modified: Tuesday, 08-Jan-2008 11:59:47 CST