This is a limited proof of concept to search for research data, not a production system.

Search the MIT Libraries

Title: Supplementary Data: A global fit of the MSSM with GAMBIT (arXiv:1705.07917)

Type Dataset The GAMBIT Collaboration (2017): Supplementary Data: A global fit of the MSSM with GAMBIT (arXiv:1705.07917). Zenodo. Dataset. https://zenodo.org/record/801640

Author: The GAMBIT Collaboration ;

Links

Summary

Supplementary Data

A global fit of the MSSM with GAMBIT arXiv:1705.07917

The files in this record contain data for the MSSM7 model considered in the GAMBIT “Round 1” weak-scale SUSY paper.

The files consist of

A number of YAML files corresponding to different sets of sampling parameters and/or priors MSSM7.yaml, a YAML file used for postprocessing StandardModel_SLHA2_scan.yaml, a universal YAML fragment included from other YAML files StandardModel_SLHA2_postprocessing.yaml, a YAML fragment included from MSSM7.yaml A final hdf5 file, containing the combined results of all sampling runs An example pip file, for producing plots from the hdf5 file using pippi gambit_preamble.py, a collection of python functions used for in-line data processing in the pip file

The different YAML files corresponding to different samplers and/or priors follow the naming scheme MSSM7_[scanner]_[prior]_[slice]_[special].yaml , where

scanner = Diver, MN prior = log, flat slice = nM2, pM2, Afunnel, hZfunnel, sqcoann, slcoann (positive or negative M2, A/H funnel, h/Z funnel, squark co-annihilation, slepton co-annihilation) special = jDE, [blank] (used pure jDE, or used the default lambdajDE)

A few caveats to keep in mind:

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 to remove all points more than 5 sigma from the current best fit, using MSSM7_strip.yaml postprocess the samples to include a new likelihood term for LHC Run II searches, and to recompute the FlavBit likelihoods (these were buggy in a pre-release version of GAMBIT), using MSSM7.yaml .

It is not necessary to repeat the steps listed in point 1 when running new scans; the LHC Run II likelihoods can be included in the original YAML file, so that no postprocessing step is required.

The YAML files that we give here are updated compared to the ones that we used when generating the hdf5 file, in order to match the set of available options in the release version of GAMBIT 1.0.0. The included physics and numerics are however identical.

The YAML files are designed to work with the tagged release of GAMBIT 1.0.0, 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).

The pip file is an example 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 don’t expect the same level of polish as for files provided here or in the GAMBIT repo.

More information

  • DOI: 10.5281/zenodo.801640

Subjects

  • beyond the standard model, global fit, particle physics phenomenology, supersymmetry, dark matter

Dates

  • Publication date: 2017
  • Issued: June 07, 2017

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementToarXiv:1705.07917
IsVersionOfhttps://doi.org/10.5281/zenodo.801639
IsPartOfhttps://zenodo.org/communities/gambit-official
IsPartOfhttps://zenodo.org/communities/inspire
IsPartOfhttps://zenodo.org/communities/zenodo