Proceedings

QLUSTER: quick clusters of merging binary black holes

We’ve got the best name ever for a numerical code! Let me introduce QLUSTER which, guess what, simulates clusters. We finally put out a piece of code that was originally developed for this paper in 2019 and later used in several other papers. It’s a very very simple treatment of black-hole binary formation in dense stellar environments, with the goal of predicting gravitational waves from repeated mergers. The code is available at github.com/mdmould/qluster and a short description is provided in the proceedings of the 2023 edition of the amazing Moriond conference.

D. Gerosa, M. Mould.
Moriond proceedings. arXiv:2305.04987 [astro-ph.HE].
Open source code.


Reanalysis of LIGO black-hole coalescences with alternative prior assumptions

These are proceedings of the IAU Symposium 338 “Gravitational Wave Astrophysics”, held in Baton Rouge LA on October 16-19, 2017. My contribution is based on arXiv:1707.04637, where we look at the first binary black hole data using different Bayesian priors. During that conference, we had the announcement of the first neutron start event, GW170817, and I was presenting black-hole science: so obsolete…

D. Gerosa, S. Vitale, C.-J. Haster, K. Chatziioannou, A. Zimmerman.
IAU Proceedigs 338 (2018) 22-28. arXiv:1712.06635 [astro-ph.HE].


Surprises from the spins: astrophysics and relativity with detections of spinning black-hole mergers

These are my proceedings for the 12th Edoardo Amaldi Conference on Gravitational Waves (July 9-14, 2017, Pasadena CA). I summarize how to use black-hole spin dynamics to learn about the lives of stars using gravitational-wave data. There are surprises…

Before the talk, I was awarded the 2016 Stefano Braccini Thesis prize.

D. Gerosa.
Journal of Physics: Conference Series 957 (2018) 1, 012014. arXiv:1711.10038 [astro-ph.HE].


filltex: Automatic queries to ADS and INSPIRE databases to fill LaTex bibliography

My little latex project to compile bibliographies in a smart way was published by JOSS. I really liked JOSS: it’s an innovative way to get recognition for your carefully crafted software, encouraging open science and good code practice. It’s really about publishing your code, not a paper that describes the code: they peer-review the repository, openly with pull requests.

D. Gerosa, M. Vallisneri.
Journal of Open Source Software 2 (2017) 13.
Open source code.