Update of large-R jet DNN calibration tool - handling specific cases
This MR introduces specific treatments in large-R jet DNN calibration for particular cases:
- jets with null or negative masses, jets with only one constituent, both causing problems for DNN inference --> jets are left at the default constituent scale (l. 319-322)
- jets with masses below 40 GeV for which the mass calibration is not optimal --> only the energy calibration is applied for these jets (l. 387-397)
These specific cases and their treatments where discussed during the last JSV meeting.
MR changes also the default values of Tau21_wta
and Tau32_wta
to -0.1 to match what is done during DNN training. (@cdelitzs, @delsart)
Secondary: adds some new comments and re-indentation, the last one messes up a bit the git diff.
Tagging jet conveners @fballi, @camacho, @mswiatlo, @bhodkins, @pereirap, @haweber.
Merge request reports
Activity
CI Result SUCCESS (hash f6337bc3)Athena AnalysisBase AthAnalysis externals cmake make tests Full details available on this CI monitor view. Check the JIRA CI status board for known problems
Athena: number of compilation errors 0, warnings 0
AnalysisBase: number of compilation errors 0, warnings 0
AthAnalysis: number of compilation errors 0, warnings 0
For experts only: Jenkins output [CI-MERGE-REQUEST-EL9 4592] CI Result SUCCESS (hash 289425e3)Athena AnalysisBase AthAnalysis externals cmake make tests Full details available on this CI monitor view. Check the JIRA CI status board for known problems
Athena: number of compilation errors 0, warnings 0
AnalysisBase: number of compilation errors 0, warnings 0
AthAnalysis: number of compilation errors 0, warnings 0
For experts only: Jenkins output [CI-MERGE-REQUEST-EL9 4593]added review-approved label and removed review-pending-level-1 label
removed analysis-review-required label
added analysis-review-approved label
mentioned in commit d67a5fc8