During binary-black-hole (BBH) mergers, energy and momenta are carried away from the binary system as gravitational radiation. Access to the radiated energy and momenta allows us to accurately predict the properties of the remnant black hole.
gw_remnant is an easy-to-use python package to efficiently extract the remnant mass, remnant spin, peak luminosity and the final kick imparted on the remnant black hole directly from the gravitational radiation.
Github repo for this project is : https://github.com/tousifislam/gw_remnant
Currently it has the ability to generate waveforms from NRHybSur3dq8 and BHPTNRSur1dq1e4. However, it can take waveforms generated by other methods by the user too.
Example notebook is provided in https://github.com/tousifislam/gw_remnant/tutorials directory.
You can find examples with deafult waveforms (BHPTNRSur1dq1e4 and NRHybSur3dq8) here : https://github.com/tousifislam/gw_remnant/blob/main/tutorials/example_with_default_waveforms.ipynb
If you do not already have gwsurrogate and BHPTNRSurrogate(s) installed, you can use the example with customed waveforms for now
Examples with custom waveforms are given here : https://github.com/tousifislam/gw_remnant/blob/main/tutorials/example_with_customized_waveform.ipynb
gw_remnant package has been used in developing NR-tuned perturbation based remnant model that can provide faithful estimates of the remnant properties for binaries with mass ratios ranging from q=3 to q=1000.
If you make use of any module from the Toolkit in your research please acknowledge using:
This work makes use of the Black Hole Perturbation Toolkit.
If you make use of the gw_remnnat package or BHPTNRremnant surrogate models please cite the following paper:
@article{Islam:2022laz,
author = "Islam, Tousif and Field, Scott E. and Khanna, Gaurav.",
title = "{Remnant black hole properties from numerical-relativity-informed perturbation theory and implications for waveform modelling}",
eprint = "https://arxiv.org/abs/2301.07215",
archivePrefix = "arXiv",
primaryClass = "gr-qc",
month = "1",
year = "2023"
}