relativebilbying

This code is a complement to the bilby package and enables one to perform relative binning in bilby. We note that, for the moment, the code only implements relative binning without higher order modes.

Relative binning is a method to perform bayesian parameter inference for gravitational waves in a faster way. It has been developped in Zackay et al, Dai et al. Additionally, attempts have been made to develop relative binning for higher-order modes waveforms (see Leslie et al).

In this repo, we use the ideas from Zackay et al and convert them into a bilby compatible format, making it easier to use.

If you use this code for your work, please give due credits by citating the methodology papers:

@article{Zackay:2018qdy, author = "Zackay, Barak and Dai, Liang and Venumadhav, Tejaswi", title = "{Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation}", eprint = "1806.08792", archivePrefix = "arXiv", primaryClass = "astro-ph.IM", month = "6", year = "2018" }

@article{Dai:2018dca, author = "Dai, Liang and Venumadhav, Tejaswi and Zackay, Barak", title = "{Parameter Estimation for GW170817 using Relative Binning}", eprint = "1806.08793", archivePrefix = "arXiv", primaryClass = "gr-qc", month = "6", year = "2018" }

(for higher order modes: @article{Leslie:2021ssu, author = "Leslie, Nathaniel and Dai, Liang and Pratten, Geraint", title = "{Mode-by-mode relative binning: Fast likelihood estimation for gravitational waveforms with spin-orbit precession and multiple harmonics}", eprint = "2109.09872", archivePrefix = "arXiv", primaryClass = "astro-ph.IM", doi = "10.1103/PhysRevD.104.123030", journal = "Phys. Rev. D", volume = "104", number = "12", pages = "123030", year = "2021" } )

And also citing this repository: @misc{janquart:2022, author = "Janquart, Justin and Puecher, Anna", title="{RelativeBilbying: a package for relative binning with bilby}", year={2022}, howpublished={\url{https://github.com/lemnis12/relativebilbying}} }

Installation

a) using this repo:

• clone the repository
• run python setup.py install