Minimally modeled characterization method of postmerger gravitational wave emission from binary neutron star coalescences
Gravitational waves emitted during the coalescence of binary neutron star systems carry information about the equation of state describing the extremely dense matter inside neutron stars. In particular, the equation of state determines the fate of the binary after the merger: a prompt collapse to bl...
Saved in:
Main Authors | , , , , , , , |
---|---|
Format | Journal Article |
Language | English |
Published |
25.04.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Gravitational waves emitted during the coalescence of binary neutron star
systems carry information about the equation of state describing the extremely
dense matter inside neutron stars. In particular, the equation of state
determines the fate of the binary after the merger: a prompt collapse to black
hole, or the formation of a neutron star remnant that is either stable or
survives up to a few seconds before collapsing to a black hole. Determining the
evolution of a binary neutron star system will therefore place strong
constraints on the equation of state. We present a morphology-independent
method, developed in the framework of the coherentWaveBurst analysis of signals
from ground-based interferometric detectors of gravitational waves. The method
characterizes the time-frequency postmerger gravitational-wave emission from a
binary neutron star system, and determines whether, after the merger, it formed
a remnant neutron star or promptly collapsed to a black hole. We measure the
following quantities to characterize the postmerger emission: ratio of signal
energies and match of luminosity profile in different frequency bands, weighted
central frequency and bandwidth. From these quantities, based on the study of
signals simulated through injections of numerical relativity waveforms, we
build a statistics to discriminate between the different scenarios after the
merger. Finally, we test our method on a set of signals simulated with new
models, to estimate its efficiency as a function of the source distance. |
---|---|
DOI: | 10.48550/arxiv.2304.12831 |