Difference between revisions of "Parameter estimation of compact binaries"
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| − | The estimation of parameter values and associated waveforms of observed compact-binary coalescences is an important contribution to the science case of GW detectors. It is key to tests of general relativity, to many cosmological studies, to population studies of compact objects, to studies of gravitational lensing of gravitational waves, and of course, to the exploration of the nature and properties of the objects involved in the merger. | + | The estimation of parameter values and associated waveforms of observed compact-binary coalescences (CBCs) is an important contribution to the science case of GW detectors. It is key to tests of general relativity, to many cosmological studies, to population studies of compact objects, to studies of gravitational lensing of gravitational waves, and of course, to the exploration of the nature and properties of the objects involved in the merger. |
| − | [[http://dx.doi.org/10.3847/1538-4365/ab06fc Ashton et al (2019)]] | + | One of the libraries used for CBC parameter estimation is Bilby [[http://dx.doi.org/10.3847/1538-4365/ab06fc Ashton et al (2019)]]. It is written in Python, and its main function is to provide tools for Bayesian inference. It uses the waveform models defined in the LALSimulation package [https://lscsoft.docs.ligo.org/lalsuite/lalsimulation/index.html [LALSimulation]]. We have used Bilby for the simulation of third-generation detector networks and parameter estimation by posterior sampling for the investigation of a CBC foreground reduction as described in the [[Cosmology:_Probing_the_Early_Universe|Cosmology]] page. |
| − | [[Cosmology:_Probing_the_Early_Universe|Cosmology]] | ||
[[http://dx.doi.org/10.1088/1475-7516/2020/03/050 Maggiore et al (2020)]] | [[http://dx.doi.org/10.1088/1475-7516/2020/03/050 Maggiore et al (2020)]] | ||
[[https://doi.org/10.1103/PhysRevD.102.022007 Grimm / Harms (2020)]] | [[https://doi.org/10.1103/PhysRevD.102.022007 Grimm / Harms (2020)]] | ||
Revision as of 17:12, 15 September 2020
The estimation of parameter values and associated waveforms of observed compact-binary coalescences (CBCs) is an important contribution to the science case of GW detectors. It is key to tests of general relativity, to many cosmological studies, to population studies of compact objects, to studies of gravitational lensing of gravitational waves, and of course, to the exploration of the nature and properties of the objects involved in the merger.
One of the libraries used for CBC parameter estimation is Bilby [Ashton et al (2019)]. It is written in Python, and its main function is to provide tools for Bayesian inference. It uses the waveform models defined in the LALSimulation package [LALSimulation]. We have used Bilby for the simulation of third-generation detector networks and parameter estimation by posterior sampling for the investigation of a CBC foreground reduction as described in the Cosmology page.
