1 code implementation • 13 Jul 2020 • Davide Gerosa, Geraint Pratten, Alberto Vecchio
We present a novel machine-learning approach to estimate selection effects in gravitational-wave observations.
1 code implementation • 24 Jan 2018 • Walter Del Pozzo, Christopher Berry, Archisman Ghosh, Tom Haines, Leo Singer, Alberto Vecchio
We reconstruct posterior distributions for the position (sky area and distance) of a simulated set of binary neutron-star gravitational-waves signals observed with Advanced LIGO and Advanced Virgo.
Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology
no code implementations • 25 Sep 2014 • John Veitch, Vivien Raymond, Benjamin Farr, Will M. Farr, Philip Graff, Salvatore Vitale, Ben Aylott, Kent Blackburn, Nelson Christensen, Michael Coughlin, Walter Del Pozzo, Farhan Feroz, Jonathan Gair, Carl-Johan Haster, Vicky Kalogera, Tyson Littenberg, Ilya Mandel, Richard O'Shaughnessy, Matthew Pitkin, Carl Rodriguez, Christian Röver, Trevor Sidery, Rory Smith, Marc Van Der Sluys, Alberto Vecchio, Will Vousden, Leslie Wade
We show that our implementation is able to correctly recover the parameters of compact binary signals from simulated data from the advanced GW detectors.
General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics
1 code implementation • 14 Apr 2009 • Miquel Trias, Alberto Vecchio, John Veitch
A number of problems in a variety of fields are characterised by target distributions with a multimodal structure in which the presence of several isolated local maxima dramatically reduces the efficiency of Markov Chain Monte Carlo sampling algorithms.
Methodology General Relativity and Quantum Cosmology Data Analysis, Statistics and Probability Applications