GOLUM

GOLUM: Gravitational-wave analysis Of Lensed and Unlensed waveform Models

The GOLUM methodology is aimed at getting fast and accurate parameter estimation for the strongly-lensed gravitational waves.

The method's details can be found in

• A fast and precise methodology to search for and analyze strongly lensed gravitational-wave events, Janquart et al, 2021, Janquart et al, 2023.

Git structure

This git contains two main folders:

• golum: the GOLUM code itself
• example: a set of examples showing how the code can be used to do strong-lensing analyses.

Requirements

GOLUM is developed as a package relying on bilby, a gravitational-wave data analysis package.

The required Python packages are:

• scipy
• bilby
• numpy

We also recommend installing the pymultinest sampler, which is used in the examples.

If you want to use examples with selection effects, please also install the smeagol package.

Citations and related work

If you use GOLUM for your research, please cite the associated method paper 1 and method paper 2.

Other works using GOLUM:

• On the identification of individual gravitational wave image types of a lensed system using higher-order modes, Janquart et al, 2021
• Ordering the confusion: A study of the impact of lens models on gravitational-wave lensing detection capabilities, Janquart et al, 2022

Other information

If you have any questions or comments, feel free t contact us at j.janquart@uu.nl.

In case you want to suggest upgrades, bug fixes, etc, do not hesitate to open an issue and/or to do a merge request.