Bayesian analysis for compact binaries
The recent release of the first gravitational waves transient catalog of compact binaries mergers revealed that eleven sources have already been detected during the first two observing runs of advanced LIGO and Virgo. With the improvement of the current detectors and the development of future gravitational wave detectors (Cosmic Explorer, Einstein Telescope, LISA), we expect that this number drastically increases in the near future. As a result, it is essential to develop adapted data analysis methods capable of extracting the maximum amount of astrophysical information in a reasonable amount of time.
In this talk, I will present some of my research activities related to development of Bayesian methods adapted to gravitational waves signals emitted by compact binaries. These include the development of a low-latency Hamiltonian Monte Carlo parameter estimation algorithm for binary neutron star and the application of hierarchical Bayesian modeling to differentiate formation channels of merging black holes binaries.
NOTE: Unusual Day