Speaker
Ms
Sarah Gossan
(California Institute of Technology)
Description
The next galactic core-collapse supernova (CCSN) has already
exploded, and its electromagnetic waves, neutrinos, and gravitational
waves may arrive at any moment. We present a
method for detecting GWs from CCSNe with a network of ground-based laser
interferometers, triggered by electromagnetic or neutrino observations.
Using such triggers, the uncertainty in the signal arrival time is
greatly reduced and the source's sky position is constrained, limiting
the relevance of the non-Gaussian detector noise background.
Employing an excess-power search algorithm, we present sensitivity
estimates for GW signals predicted by six different emission models, in
the context of the first and second-generation of ground-based GW
detectors. Furthermore, we discuss the prospects for constraining the
CCSN explosion mechanism from GW signals, using Bayesian model
selection, and introduce preliminary work on parameter estimation to
uncover previously unattainable knowledge about the progenitor star of
the CCSN.
Primary author
Ms
Sarah Gossan
(California Institute of Technology)
Co-author
Prof.
Christian D. Ott
(California Institute of Technology)
