On the normalised FRB luminosity function

Rui Luo, Kejia Lee, Duncan R. Lorimer, Bing Zhang
8/29/2018
astro-ph.HE

Official code: RuiLuoAstro/frb_normlf (5 stars, last commit 2020-04-22).

Abstract

Thirty-three fast radio bursts (FRBs) had been detected by March 2018. Although the sample size is still limited, meaningful statistical studies can already be carried out. The normalised luminosity function places important constraints on the intrinsic power output, sheds light on the origin(s) of FRBs, and can guide future observations. In this paper, we measure the normalised luminosity function of FRBs. Using Bayesian statistics, we can naturally account for a variety of factors such as receiver noise temperature, bandwidth, and source selection criteria. We can also include astronomical systematics, such as host galaxy dispersion measure, FRB local dispersion measure, galaxy evolution, geometric projection effects, and Galactic halo contribution. Assuming a Schechter luminosity function, we show that the isotropic luminosities of FRBs have a power-law distribution that covers approximately three orders of magnitude, with a power-law index ranging from $-1.8$ to $-1.2$ and a cut off $\sim 2\times 10^{44}\,\rm erg\,s^{-1}$. By using different galaxy models and well-established Bayesian marginalisation techniques, we show that our conclusions are robust against unknowns, such as the electron densities in the Milky Way halo and the FRB environment, host galaxy morphology, and telescope beam response.

View on arXivView PDF

Code Implementations(1)

FRB mock data simulator and a Bayesian framework to measure the normalized FRB luminosity function

51Shell, PythonSep 27, 20186 years ago

Similar Papers

Cite this paper

@article{luo2018normalised,
  title  = {On the normalised FRB luminosity function},
  author = {Rui Luo and Kejia Lee and Duncan R. Lorimer and Bing Zhang},
  year   = {2018},
  eprint = {1808.09929},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1808.09929}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/1808.09929.svg)](https://codeofpaper.com/paper/1808.09929)

Discussion