12 citations · 16 across the 6 of their papers we have counts for
6 papers
Gravitational-wave Observations Suggest Most Black Hole Mergers Form in Triples
Jakob Stegmann, Fabio Antonini, Aleksandra Olejak +4
The spin-orbit tilt angles of merging stellar-mass black holes provide key insights into their astrophysical origin. Non-parametric population modelling of The LIGO, Vir…
Expect the unexpected: augmented mixture models for black-hole-population studies
Stefano Rinaldi
Black hole population studies are currently performed either using astrophysically motivated models (informed but rigid in their functional forms) or via non-parametric methods (fl…
Comparing astrophysical models to gravitational-wave data in the observable space
Alexandre Toubiana, Davide Gerosa, Matthew Mould +9
Comparing population-synthesis models to the results of hierarchical Bayesian inference in gravitational-wave astronomy requires a careful understanding of the domain of validity o…
Trust the process: mapping data-driven reconstructions to informed models using stochastic processes
Stefano Rinaldi, Alexandre Toubiana, Jonathan R. Gair
Gravitational-wave astronomy has entered a regime where it can extract information about the population properties of the observed binary black holes. The steep increase in the num…
Non-parametric identification of single-lined binary candidates in young clusters using single-epoch spectroscopy
Stefano Rinaldi, María Claudia Ramírez-Tannus
Binarity plays a crucial role in star formation and evolution. Consequently, identifying binary stars is essential to deepen our understanding of these processes. We propose a meth…
Accounting for selection biases in population analyses: equivalence of the in-likelihood and post-processing approaches
Stefano Rinaldi
In this paper I show the equivalence, under appropriate assumptions, of two alternative methods to account for the presence of selection biases (also called selection effects) in p…