Supplementary Data

Combined collider constraints on neutralinos and charginos.

The files in this record contain data for the EWMSSM model considered in the GAMBIT paper on constraints on electroweakinos.

The files consist of

  • A number of YAML files corresponding to different sets of sampling parameters and/or priors
  • StandardModel_SLHA2_defaults.yaml, a universal YAML fragment included from other YAML files
  • A final hdf5 file, MSSMEW.hdf5, containing the combined results of all sampling runs with collider constraints with the following
    • 241794 samples
    • At least 4M Pythia events per point for the LHC likelihood calculation. (More for the highest-likelihood points.)
    • The dataset "MSSMEW/LogLike" contains the combined collider likelihood (LHC + LEP + Z/h invisible widths)
  • A final hdf5 file, MSSMEW_DM.hdf5 from a postprocessed run including Dark Matter constraints, with the following
    • 136011 samples
    • At least 4M Pythia events per point for the LHC likelihood calculation. (More for the highest-likelihood points.)
    • The dataset "MSSMEW/LogLike" contains the combined collider likelihood (LHC + LEP + Z/h invisible widths)
    • The dataset "MSSMEW/DMLogLike" contains the combined DM likelihood
    • The dataset "MSSMEW/LogLikeAll" is the sum of LogLike and DMLogLike.
  • Two example pip files, for producing plots from the collider-only hdf5 file using pippi
  • gambit_preamble.py, a collection of python functions used for in-line data processing in the pip file
  • A tarball including the yaml files, SLHA1 and SLHA2 files of all the benchmark points.

The different YAML files corresponding to different priors or setttings follow the naming scheme EWMSSM_[scanner]_[prior]_[special]_[slice].yaml , where

  • scanner = Diver
  • prior = log, flat
  • special = jDE
  • slice = mult500, M2lt500 (mu < 500 GeV, M2 < 500 GeV)

A few caveats to keep in mind:

  1. The final hdf5 results file included here was generated in the following way:

    • carry out initial runs using YAML files following the naming scheme above
    • combine the resulting hdf5 output files into a single file, using gambit/Printers/scripts/combine_hdf5.py
    • postprocess the samples with increasing numbers of simulated events to decrease MC uncertainty. In the final samples the 2 sigma region was postprocessed with at least 4M events, the 1 sigma region with at least 16M and the 500 points with highest likelihood with 64M events.
    • postprocess the final samples including Dark Matter constraints
  2. The YAML files provided are tailored to reproduce the original scans with lower number of generated events

  3. The naming conventions of the model, either MSSMEW and EWMSSM are interchangable and refer to the same model.

  4. The YAML files are designed to work with the tagged release of GAMBIT 1.2.0, and the pip file is tested with pippi 2.0, commit 2ab061a8. They may or may not work with later versions of either software (but you can of course always obtain the version that they do work with via the git history).

  5. The pip files are examples only. Users wishing to reproduce the more advanced plots in any of the GAMBIT papers should contact us for tips or scripts, or experiment for themselves. Many of these scripts are in multiple parts and require undocumented manual interventions and steps in order to implement various plot-specific customisations, so please do not expect the same level of polish as for files provided here or in the GAMBIT repo.