barb

barb is a bayesian rate estimation python package for FRBs.
Bayesian Rate-estimation for frBs (BaRB)

Installation

Install the rate estimation package.

git clone https://github.com/MorganWaddy/barb
cd barb
python setup.py install

Usage

First, create a json file with your relevant data using auto-json.

python bin/auto-json.py -N <name of primary author of the paper> -Y <year> -n <nFRBs> -S <sensitivity> -R <radius of the beam> -b <beams> -t <time per beam> -f <flux>

Second, group your json file(s) with the original dataset, located in the surveys directory.

Third, run the program.

bin/run_analysis.py -D <name of the surveys> -c <number of cpus> -r <name of h5 file> -n <name of final plot> -m <maximum number of iterations>

For a more in-depth tutorial and explanation of the package's functions, please see the tutorial jupyter notebook.

Requirements

• astropy
• numpy
• matplotlib
• tqdm
• emcee

Citations

Please cite the following papers if you use barb.
Lawrence et al. (2017)