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Firecrown SN Tutorial

Demonstration of SN focussed utilities. Tutorial notebooks are kept in Notebook dir. These results are based on runs in CORI, NERSC. Similar runs are also being prepared in RCC-Midway system. A starter pack for the Midway system is already prepared.

The likelihood details can be seen in sn_srd.py file.

The input data vectors are kept in sndata folder

Inputs require : 1. Hubble diagram - data.txt and 2. Covariance matrix - sys_0.txt

The default input files can be generated by the following command :

python generate_sn_data.py

For custom input files, the notebook Firecrown_SACC.ipynb can be consulted.

Sampling details are set in .ini file. An example file : sn_srd_planck_bao.ini is kept which performs $SN+CMB+BAO$ sampling.

An example script to submit job in CORI with these inputs, is stored in submit_job.sh

The output is stored in output directory. For plots and visualization, the Firecrown_Plot.ipynb can be consulted.

A file named Resource.txt is created for an approximate runtime estimations using cosmosis.

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