Speaker
Senwen Deng
(APC)
Description
The LISA observation band is expected to be populated with various
gravitational wave signals overlapping in time and frequency, making the
individual treatment for each source impossible.
We present a global-fit pipeline to disentangle the merging massive
black hole binaries (MBHB) and the inspiralling Galactic white dwarf
binaries (GBs) present in the simulate one-year-long LISA data.
The pipeline consists of a kick-in step of speedy approximative MBHB
signal reconstruction and an iterative Bayesian detection and parameter
estimation step for GBs, MBHBs as well as inference of the noise model.
Primary authors
Andrea Sartirana
(CNRS)
Maude Le Jeune
(APC)
Senwen Deng
(APC)
Stanislav Babak
(APC)
Sylvain Marsat
(L2I Toulouse, CNRS/IN2P3, UT3)
Éric Plagnol
(APC)