PY8 shower parallelization potential bug
Hello,
I wish to generate 10,000 tt+2j events with madgraph and then shower these events using pythia. I have pythia8 and its dependencies sucessfully installed using the "install" command in madgraph_v2_5_5. My commands were as follows
generate p p > t t~ j j
output tt2j
launch tt2j
shower=PYTHIA8
This ran fine, and generated 10,000 events in the lhe file, but for some reason there were only 500 showered events. I'm wondering if when pythia split up the events into 20 parts to run in parallel, they were not merged back together properly at the end.
Here is the output madgraph gave related to pythia
Splitting .lhe event file for PY8 parallelization...
Submitting Pythia8 jobs...
Pythia8 shower jobs: 1 Idle, 19 Running, 0 Done [7 seconds]
Pythia8 shower jobs: 0 Idle, 19 Running, 1 Done [13 seconds]
Pythia8 shower jobs: 0 Idle, 18 Running, 2 Done [2m02s]
Pythia8 shower jobs: 0 Idle, 14 Running, 6 Done [2m06s]
Pythia8 shower jobs: 0 Idle, 11 Running, 9 Done [2m11s]
Pythia8 shower jobs: 0 Idle, 4 Running, 16 Done [2m18s]
Pythia8 shower jobs: 0 Idle, 1 Running, 19 Done [2m27s]
Pythia8 shower jobs: 0 Idle, 0 Running, 20 Done [2m38s]
Merging results from the split PY8 runs...
INFO: Pythia8 shower finished after 20m13s.
=== Results Summary for run: run_01 tag: tag_1 ===
Cross-section : 422.2 +- 1.283 pb
Nb of events : 10000
INFO: storing files of previous run
gzipping output file: unweighted_
INFO: Storing Pythia8 files of previous run
INFO: Done
Question information
- Language:
- English Edit question
- Status:
- Answered
- Assignee:
- Valentin Hirschi Edit question
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