503 citations · 1.2k across the 19 of their papers we have counts for
4 papers · 1 filter
First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals
Amin Boumerdassi, Matthew C. Edwards, Avi Vajpeyi +1
This work investigates the impact of streams of transient, non-Gaussian noise artifacts or "glitches" on the parameter estimation of extreme mass ratio inspirals (EMRI) in the Lase…
Enhancing evidence estimation through informed probability density approximation
El Mehdi Zahraoui, Patricio Maturana-Russel, Avi Vajpeyi +3
We introduce the Morph approximation, a class of product approximations of probability densities that selects low-order disjoint parameter blocks by maximizing the sum of their tot…
Bayesian power spectral density estimation for LISA noise based on penalized splines with a parametric boost
Nazeela Aimen, Patricio Maturana-Russel, Avi Vajpeyi +2
Flexible and accurate noise characterization is crucial for the precise estimation of gravitational-wave parameters. We introduce a Bayesian method for estimating the power spectra…
Rapid stellar and binary population synthesis with COMPAS: methods paper II
Ilya Mandel, Jeff Riley, Adam Boesky +13
The COMPAS public rapid binary population synthesis code has undergone a number of key improvements since the original COMPAS methods paper (Team COMPAS: Riley et al., 2022) was pu…