Particle Physics & Detector Development, Institute of Experimental Physics Physics campus Bahrenfeld, Building 68, room 119 Luruper Chaussee 149 D-22761 Hamburg, Germany jory.sonneveld@desy.de |
To recast analyses for easy limits on a range of BSM physics models.
Examples of recasted analyses in MadAnalysis can be found here. See validation notes for how validation material including cutflows and event generation information is used.
See below for specific examples of validation material.
In order to implement all cuts correctly, cutflows for a few benchmark points are indispensable.
Preferably these points cover large and small mass splittings (ISR validation) and may have processes involving top and bottom quarks (b-tagging) and leptons (isolation criteria).
An example of a cutflow for all signal points both with the cumulative efficiencies from the preselection like:
Furthermore, one would need signal-region specific per parameter point efficiencies like:
When cutflow validation fails, it is desirable to have original LHE files from the benchmark points OR generation information to exclude that the cause of failure was at production or shower level.
If LHE files are not available one would need generation information: SLHA, MadGraph, Pythia cards and matching settings.
For generation information one would need files like those used for SUSY analyses shown here and
pythia and
matching settings.
This is for example a proc card for production in MadGraph
like this proc card used in SUSYOne would also need a run card with MadGraph (matching) settings:
like this run card used for gluino productionAny extra mass-dependent production parameters like cuts or matching settings
Other examples of generation information:
DM pseudoscalar to ttbar with dileptons (CMS-SUS-17-001)
Z prime to two photons (CMS-EXO-16-012)
CMS 13 TeV genproductions
What is also needed are settings used in showering such as with Pythia8, like the genfragment, pythia8common and pythia8cuep8m1 settings (depending on what is used), for example:
and then correspondingly the following pythia settings (since these are called from elsewhere):
One can then insert these settings in a default pythia cmd file /MadGraph pythia8_card.dat as in the following examples:
This model specific example
This general example
For producing LHE files one also needs the slha files corresponding to the benchmark points that were studied, like