Parameter estimation and model selection using spinning hybrid waveforms.

          @misc{ scivideos_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 for Theoretical Physics},
            year = {2010},
            month = {jun},
            note = {PIRSA:10060076 see, \url{https://scivideos.org/index.php/pirsa/10060076}}
          }
          

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.