# Global fits of GUT-scale SUSY models with GAMBIT
* [Zenodo page ](https://zenodo.org/record/843496)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.843496.svg)](https://doi.org/10.5281/zenodo.843496)
* [arXiv:1705.07935](https://arxiv.org/abs/arXiv:1705.07935)
* [Dataset](https://zenodo.org/record/843496/files/CMSSM.hdf5.tar.gz)

# Global fits of GUT-scale SUSY models with GAMBIT
* [Zenodo page ](https://zenodo.org/record/843496)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.843496.svg)](https://doi.org/10.5281/zenodo.843496)
* [arXiv:1705.07935](https://arxiv.org/abs/arXiv:1705.07935)
* [Dataset](https://zenodo.org/record/843496/files/CMSSM.hdf5.tar.gz)

## How to download and prepare the dataset

The dataset is too large to host on github. Here's step-by-step intructions on how retrieve the data and prepare it.

1. Download the Gambit's CMSSM [dataset from Zenodo](https://zenodo.org/record/843496/files/CMSSM.hdf5.tar.gz). **Warning**, it's 10 GB download, and 31 GB uncompressed.
2. Uncompress and place the file in this directory (path should be cmssm/CMSSM.hdf5, relative to repository root.)
3. Run `python extract_columns.py` to construct CMSSM_subset.hdf5.
4. Done.

Document the step-by-step procedure to retrieve and prep the CMSSM dataset.
Document the step-by-step procedure to retrieve and prep the CMSSM dataset.
