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The input data for this step is SLIC output; download from one of the sources listed on Finding DataMonte Carlo data at SLAC or generate using the instructions on Generating Monte Carlo Data.

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Photon beam events are simulated without pileup, so empty events must be inserted. (FilterMCBunches also deletes events unlikely to cause triggers.)

java -cp hps-javadistribution.jar org.lcsim.hps.users.meeg.FilterMCBunches in.slcio filtered.slcio -e250

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The "runNumber" variable corresponds to run numbers in HPS Test Run - Run List; it sets the calibration constants to those seen in data from the specified run.

java -jar hps-javadistribution.jar -r /org/lcsim/hps/steering/readout/TestRunReadoutToEvio.lcsim -i filtered.slcio -DoutputFile=readout -DrunNumber=1351

java -jar hps-javadistribution.jar -r /org/lcsim/hps/steering/readout/TestRunReadoutToLcio.lcsim -i filtered.slcio -DoutputFile=readout -DrunNumber=1351

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If you're running A' or trident events for which a high trigger rate (more than around 1 trigger per 1000 events) is expected, you should insert empty bunches (or use the no-pileup simulation - see below - which runs much faster but is less realistic in simulating detector timing and efficiencies) since the readout simulation simulates pileup in the detectors assuming input events correspond to consecutive 2 ns beam bunches.

java -cp hps-javadistribution.jar org.lcsim.hps.users.meeg.FilterMCBunches in.slcio filtered.slcio -a -e500

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Output to EVIO format:

java -jar hps-javadistribution.jar -r /org/lcsim/hps/steering/readout/HPS2014ReadoutToEvio.lcsim -i in.slcio -DoutputFile=readout

Output to LCIO format:

java -jar hps-javadistribution.jar -r /org/lcsim/hps/steering/readout/HPS2014ReadoutToLcio.lcsim -i in.slcio -DoutputFile=readout

Simulate without pileup (each event is treated independently, all detectors are reset between events), output to LCIO format:

java -jar hps-javadistribution.jar -r /org/lcsim/hps/steering/readout/HPS2014ReadoutNoPileup.lcsim -i in.slcio -DoutputFile=readout