Closed mariadalfonso closed 3 years ago
From @alefisico I think this is related with a mismatch of QGL databases in the global tags reported to us last week. To summarize: 2018UL MC GT: QGLikelihoodObject_v1_AK4PFchs (2015 training) 2017UL MC GT: QGLikelihoodObject_v1_AK4PFchs_2017 (2017 training) 2016UL MC GT(preVFP, postVFP): QGLikelihoodObject_v1_AK4PFchs_2016 (2016 training) Data GT: QGLikelihoodObject_v1_AK4PFchs (2015 training) — the same GT is used for all three years,
It should be the 2017 training everywhere (until we have dedicated UL trainings).
As extra information, we know that the 2015 trainings can produced these Nan-values.
FYI -- We have requested new GTs from AlCa/DB to fix this: https://hypernews.cern.ch/HyperNews/CMS/get/calibrations/4357.html
added in the GT with PR
I still see a lot of nan for nanoV8 campaign
here is some way to reproduce them
root://xrootd-cms.infn.it//store/mc/RunIISummer20UL18NanoAODv2/TTToSemiLeptonic_TuneCP5_13TeV-powheg-pythia8/NANOAODSIM/106X_upgrade2018_realistic_v15_L1v1-v1/20000/A2B51438-22E7-C440-9490-B75A84BBBB3F.root
FOUND nan in Jet_qgl[0] run:lumi:event 1:132039:132038327 FOUND nan in Jet_qgl0] run:lumi:event 1:341110:341109793 FOUND nan in Jet_qgl[0] run:lumi:event 1:130399:130398301 ...
Hi,
sorry for the late reply.
We dont rerun QGL in nanoAOD, we take the value directly from miniAOD. The nanoAODv8 file that you posted is done with the global tag where the correct QGL training is included but the miniAOD parent is done with an older global tag (106X_upgrade2018_realistic_v11_L1v1
).
This problem is solved if the re-miniAOD campaing was done with the 106X_upgrade2018_realistic_v15_L1v1
global tag.
Hi @mariadalfonso after further checks and discussions about this issue, it looks like what I said before is not true. We are looking into ways of fixing this issue asap. Maybe you should open this issue again.
reported here https://indico.cern.ch/event/962278/#7-issues-with-quark-gluon-in-n