DOI: 10.5281/zenodo.843535
title: Supplementary Data: A Global Fit Of The Mssm With Gambit (Arxiv:1705.07917)

description: <strong>Supplementary Data</strong>

<em>A global fit of the MSSM with GAMBIT </em><br>
<em>arXiv:1705.07917 </em>

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
	SLHA1 and SLHA2 files for the best-fit point in each subregion of the fit.  These can found inside the tarball best_fits_SLHA.tar.gz.


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<br>
		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.
description: v2 adds SLHA1 and SLHA2 benchmark files for the best-fit points in each region of each model.