Sep 7 – 9, 2021
Urbino/Palazzo Battiferri
Europe/Rome timezone

Bayesian parameter estimation of stellar-mass black-hole binaries with LISA

Sep 8, 2021, 5:15 PM
30m
Urbino/Palazzo Battiferri

Urbino/Palazzo Battiferri

Via Aurelio Saffi, 42, 61029 Urbino PU
Experimental Gravitation Gravitational Waves

Speaker

Dr Riccardo Buscicchio (University of Birmingham)

Description

In this talk I will present a fully Bayesian parameter-estimation pipeline to measure the properties of inspiralling stellar-mass black hole binaries with LISA.
Our strategy (i) is based on the coherent analysis of the three noise-orthogonal LISA data streams, (ii) employs accurate and computationally efficient post-Newtonian waveforms –accounting for both spin-precession and orbital eccentricity– and (iii) relies on a nested sampling algorithm for the computation of model evidences and posterior probability density functions of the full 17 parameters describing a binary. We demonstrate the performance of this approach by analyzing the LISA Data Challenge (LDC–1) dataset.
In addition, we report on the successful recovery of an eccentric, spin-precessing source at signal-to-noise ratio 15 for which we can measure an eccentricity of $3×10^{−3}$ and the time to merger to within ∼1 hour.

Primary author

Dr Riccardo Buscicchio (University of Birmingham)

Co-authors

Dr Antoine Klein (University of Birmingham - Institute for Gravitational Wave Astronomy) Dr Elinore Roebber (University of Birmingham - Institute for Gravitational Wave Astronomy) Christopher J. Moore (University of Birmingham - Institute for Gravitational Wave Astronomy) Mr Eliot Finch (University of Birmingham - Institute for Gravitational Wave Astronomy) Dr Davide Gerosa (University of Birmingham - Institute for Gravitational Wave Astronomy) Prof. Alberto Vecchio (University of Birmingham - Institute for Gravitational Wave Astronomy)

Presentation materials