Parameter estimation and model selection using spinning hybrid waveforms.
APA
Raymond, V. (2010). Parameter estimation and model selection using spinning hybrid waveforms.. Perimeter Institute. https://pirsa.org/10060076
MLA
Raymond, Vivien. Parameter estimation and model selection using spinning hybrid waveforms.. Perimeter Institute, Jun. 25, 2010, https://pirsa.org/10060076
BibTex
@misc{ pirsa_PIRSA:10060076, doi = {10.48660/10060076}, url = {https://pirsa.org/10060076}, author = {Raymond, Vivien}, keywords = {}, language = {en}, title = {Parameter estimation and model selection using spinning hybrid waveforms.}, publisher = {Perimeter Institute}, year = {2010}, month = {jun}, note = {PIRSA:10060076 see, \url{https://pirsa.org}} }
Cardiff University
Talk Type
Abstract
Most searches with ground-based detectors for gravitational-wave signals from the inspirals of stellar-mass compact binaries use template based methods. Those work well for non-spinning systems but since the dimensionality of the parameter space of spinning waveforms is large a template bank search is not feasible. We describe Bayesian and Markov-chain Monte-Carlo methods for parameter estimation of spinning waveforms using hybrid spinning waveforms matching the ringdown from Numerical Relativity results. We compare those results when using post-Newtonian only waveforms. We explore the parameter space and discuss different ways to overcome its high dimensionality and multi-modality.