SystematicsError : Systematics not supported for pdlabel=none

Asked by wanghan

Dear Sir,
I want to run systematics computation and i have linked the following code:
'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/b806/work/MG5_aMC_v3.4.1/MG5_aMC_v3_4_1/HEPTools/lhapdf6_py3/lib
export PYTHONPATH=$PYTHONPATH:/home/b806/work/MG5_aMC_v3.4.1/MG5_aMC_v3_4_1/HEPTools/lhapdf6_py3/bin'

However, in the process of running the program, it still reported the warning and error:
'WARNING: program /usr/bin/python3 -O /home/b806/work/MG5_aMC_v3.4.1/MG5_aMC_v3_4_1/bin/wuyong/bin/internal/systematics.py unweighted_events.lhe.gz ./tmp_2_unweighted_events.lhe.gz --mur=0.5,1,2 --muf=0.5,1,2 --pdf=errorset --start_event=5000 --stop_event=7500 --result=./log_sys_2.txt --lhapdf_config=/home/b806/work/MG5_aMC_v3.4.1/MG5_aMC_v3_4_1/HEPTools/lhapdf6_py3/bin/lhapdf-config launch ends with non zero status: 1. Stop all computation

INFO: Running Systematics computation

Command "generate_events run_01" interrupted with error:
SystematicsError : Systematics not supported for pdlabel=none
Please report this bug on https://bugs.launchpad.net/mg5amcnlo
More information is found in '/home/b806/work/MG5_aMC_v3.4.1/MG5_aMC_v3_4_1/bin/wuyong/run_01_tag_1_debug.log'.
Please attach this file to your report.

INFO: storing files of previous run

INFO: Done
'
I don't know how to solve it. I'd appreciate it if you could solve it.Thank you very much.

Question information

Language:
English Edit question
Status:
Solved
For:
MadGraph5_aMC@NLO Edit question
Assignee:
No assignee Edit question
Solved by:
wanghan
Solved:
Last query:
Last reply:
Revision history for this message
Olivier Mattelaer (olivier-mattelaer) said :
#1

For which process you are trying to run this?

If you have pdlabel=none at least they are no need of computing pdf error, neither muf related error.
So you are interested in varying mur?

Cheers,

Olivier

Revision history for this message
wanghan (wangwanghan) said :
#2

Dear Sir,
Thank you for your quick reply. This problem has been solved. Thank you very much.