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Adaptable QED events based on INTRATE #2081

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Merged
sawenzel merged 2 commits into from
Aug 5, 2025
Merged

Adaptable QED events based on INTRATE #2081

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Adaptable QED events based on INTRATE
jackal1-66 Aug 5, 2025
1dbceab
Update o2dpg_sim_workflow.py
jackal1-66 Aug 5, 2025
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7 changes: 5 additions & 2 deletions MC/bin/o2dpg_sim_workflow.py
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Expand Up @@ -519,7 +519,11 @@ def getDPL_global_options(bigshm=False, ccdbbackend=True):

# preproduce the collision context / timeframe structure for all timeframes at once
precollneeds=[GRP_TASK['name']]
NEventsQED=10000 # max number of QED events to simulate per timeframe
# max number of QED events simulated per timeframe.
# A large pool of QED events (0.6*INTRATE) is needed to avoid repetition of events in the same or
# neighbouring ITS readout frames, which would fire already activated pixel, discarding the event.
# Discussed in detail in https://its.cern.ch/jira/browse/O2-5861
NEventsQED = max(10000, int(INTRATE*0.6))
# Hadronic cross section values are taken from Glauber MC
XSecSys = {'PbPb': 8., 'OO': 1.273, 'NeNe': 1.736}
# QED cross section values were calculated with TEPEMGEN
Expand Down Expand Up @@ -723,7 +727,6 @@ def getDPL_global_options(bigshm=False, ccdbbackend=True):

QEDdigiargs = ""
if includeQED:
NEventsQED=10000 # 35K for a full timeframe?
qedneeds=[GRP_TASK['name'], PreCollContextTask['name']]
QED_task=createTask(name='qedsim_'+str(tf), needs=qedneeds, tf=tf, cwd=timeframeworkdir, cpu='1')
########################################################################################################
Expand Down