Bayesian photometric redshift code dedicated to Gamma-Ray Bursts in Python

• Free software: MIT license
• Documentation: https://pyGRBz.readthedocs.io.

Release status

Development status

Features

• pyGRBz is a bayesian photometric redshift code dedicated to Gamma-Ray Bursts developed in Python3.
• It uses either the Ensemblesampler or PTsampler from the emcee package.
• The photometric redshift is assessed using spectral signature imprinted on the GRB afterglow Spectral Energy Distribution (SED): Lyman series absorption features, Lyman break and/or the presence of the 2175 Angstroms bump in the extinction law used to model the amount of extinction in the host galaxy.
• The input can be either a GRB afterglow SED or multi-wavelength light curve.
• In case, a light curve is provided, each band is fitted independtly with a template model (either a power law or a broken power law). The fit is performed using the iminuit package.
• 3 physical parameters are assessed: the redhsift, the amount of dust extinction in the V band, the spectral slope.
• 4 extinction laws can be used to model extinction in the host galaxy: MW, SMC, LMC from Pei+92 and no dust.
• IGM absoprtion is modelled either with recipes from MAdau+95 or Meiksin+06.
• When the input is a light curve, the temporal slope for each band is also fitted.
• Have a look to the notebook(s) to see how it works.

Installation

See the doc: https://pyGRBz.readthedocs.io.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.