| Literature DB >> 26412861 |
Pia Astone1, Alan Weinstein2, Michalis Agathos3, Michał Bejger4, Nelson Christensen5, Thomas Dent6, Philip Graff7, Sergey Klimenko8, Giulio Mazzolo9, Atsushi Nishizawa10, Florent Robinet11, Patricia Schmidt12, Rory Smith13, John Veitch3, Madeline Wade14, Sofiane Aoudia15, Sukanta Bose16, Juan Calderon Bustillo17, Priscilla Canizares18, Colin Capano19, James Clark20, Alberto Colla21, Elena Cuoco22, Carlos Da Silva Costa23, Tito Dal Canton6, Edgar Evangelista23, Evan Goetz6, Anuradha Gupta24, Mark Hannam12, David Keitel6, Benjamin Lackey25, Joshua Logue26, Satyanarayan Mohapatra27, Francesco Piergiovanni1, Stephen Privitera2, Reinhard Prix6, Michael Pürrer12, Virginia Re28, Roberto Serafinelli21, Leslie Wade14, Linqing Wen29, Karl Wette6, John Whelan30, C Palomba1, G Prodi31.
Abstract
The Amaldi 10 Parallel Session C2 on gravitational wave (GW) search results, data analysis and parameter estimation included three lively sessions of lectures by 13 presenters, and 34 posters. The talks and posters covered a huge range of material, including results and analysis techniques for ground-based GW detectors, targeting anticipated signals from different astrophysical sources: compact binary inspiral, merger and ringdown; GW bursts from intermediate mass binary black hole mergers, cosmic string cusps, core-collapse supernovae, and other unmodeled sources; continuous waves from spinning neutron stars; and a stochastic GW background. There was considerable emphasis on Bayesian techniques for estimating the parameters of coalescing compact binary systems from the gravitational waveforms extracted from the data from the advanced detector network. This included methods to distinguish deviations of the signals from what is expected in the context of General Relativity.Entities:
Keywords: Compact binary merger; Gravitational waves; Neutron stars ; Parameter estimation; Stochastic background; Tests of general relativity
Year: 2015 PMID: 26412861 PMCID: PMC4579869 DOI: 10.1007/s10714-014-1796-x
Source DB: PubMed Journal: Gen Relativ Gravit ISSN: 0001-7701 Impact factor: 2.513