Lorenzett Event Simulator

This is the first event generator for HEP using a generic calorimeter for machine learning studies based on athena framework.

Docker image:

Docker image for cluster usage based on Ubuntu 18.

docker pull jodafons/lorenzett

Usage:

Event generation:

Use this command to generate Zee events. To get the time clock system as seed use the argument --seed 0.

generator.py --filter Zee -i zee_config.cmnd --outputLevel 6 --seed 0 -evt 1000 -o zee.root --pileupAvg 40 --bc_id_start -8 --bc_id_end 7

To run the generator in parallel you must use this with the prun_job command. To run the Zee generation in parallel use this command:

prun_job.py -c "generator.py --filter Zee -i zee_config.cmnd --outputLevel 6 --seed 0 -evt 1000 -o zee.root --pileupAvg 40 --bc_id_start -8 --bc_id_end 7"

NOTE: Use this command to run the event Zee generatio with 1K events, 4 threads (-mt) and 10 jobs (-n).

To run the JF17 events use this command:

prun_job.py -c "generator.py --filter JF17 -i jets_config.cmnd --outputLevel 6 --seed 0 --evt 1000" -mt 4 -n 10 -o jf17.root --pileupAvg 40 --bc_id_start -8 --bc_id_end 7"

To generate and collect minimum bias for the entiry calorimeter only just use:

prun_job.py -c "generator.py --filter MinimumBiasAll  --outputLevel 6 --seed 0 --evt 1000" -mt 4 -n 10 -o mb.root --pileupAvg 40 --bc_id_start -8 --bc_id_end 7"

Note: If you would like to collect minimum bias for an especific calorimete region you just include the eta/phi region here and use the --filter with name MinimumBias.

Reconstruction:

After generate the events using the generator.py command you must pass the output file as input to the reconstruction transformation. To run the reconstruction use this command:

reco_trf.py -i zee.root --outputLevel 6 -nt 4 -o reco_zee.root

Requirements For Local Installation:

• Geant4 (opengl or qt4 is required for graphic interface, https://github.com/jodafons/geant4.git);
• ROOT (https://github.com/root-project/root.git);
• Pythia8 (https://github.com/jodafons/pythia.git);
• HEPMC (https://github.com/jodafons/hepmc.git);
• FastJet (https://github.com/jodafons/fastjet.git).

References:

• Athena framework: https://gitlab.cern.ch/atlas/athena