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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
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
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