4 citations · 4 across the 4 of their papers we have counts for
4 papers
A story about a tipsy kangaroo: Reversible jump MCMC for model selection in the analysis of gravitational-wave signals from the coalescence of compact objects
Anna Puecher, Tim Dietrich, Hauke Koehn +4
Bayesian inference is commonly employed in the analysis of gravitational-wave signals not only to estimate the source parameters, but also for model selection. The latter provides…
Impact of the Einstein Telescope's duty cycle on the estimation of binary black holes parameters
Luca Negri, Thomas C. K. Ng, Thibeau Wouters +13
The geometry of the Einstein Telescope, the proposed next-generation European gravitational-wave observatory, is yet to be finalized. Two competing designs are under consideration:…
Neural likelihood estimators for flexible gravitational wave data analysis
Luca Negri, Anuradha Samajdar
In this paper, we develop a Neural Likelihood Estimator and apply it to analyse real gravitational-wave (GW) data for the first time. We assess the usability of neural likelihood f…
Null Stream Based Third-generation-ready Glitch Mitigation for Gravitational Wave Measurements
Harsh Narola, Thibeau Wouters, Luca Negri +10
Gravitational Wave (GW) detectors routinely encounter transient noise bursts, known as glitches, which are caused by either instrumental or environmental factors. Due to their high…