Optimized localization for gravitational waves from merging binaries
| Autor: | Eric Thrane, Xing-Jiang Zhu, Gregory Ashton, Zhi-Qiang You, Zong-Hong Zhu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Physics
Gravitational wave Astrophysics::High Energy Astrophysical Phenomena Astrophysics::Instrumentation and Methods for Astrophysics FOS: Physical sciences Astronomy and Astrophysics General Relativity and Quantum Cosmology (gr-qc) Astrophysics::Cosmology and Extragalactic Astrophysics Astrophysics Bayesian inference Astrophysics - Astrophysics of Galaxies 01 natural sciences General Relativity and Quantum Cosmology Neutron star Space and Planetary Science Astrophysics of Galaxies (astro-ph.GA) 0103 physical sciences 010306 general physics 010303 astronomy & astrophysics Astrophysics::Galaxy Astrophysics |
| Zdroj: | Monthly Notices of the Royal Astronomical Society. 509:3957-3965 |
| ISSN: | 1365-2966 0035-8711 |
| Popis: | The Advanced LIGO and Virgo gravitational wave observatories have opened a new window with which to study the inspiral and mergers of binary compact objects. These observations are most powerful when coordinated with multi-messenger observations. This was underlined by the first observation of a binary neutron star merger GW170817, coincident with a short Gamma-ray burst, GRB170817A, and the identification of the host galaxy NGC~4993 from the optical counterpart AT~2017gfo. Finding the fast-fading optical counterpart critically depends on the rapid production of a sky-map based on LIGO/Virgo data. Currently, a rapid initial sky map is produced followed by a more accurate, high-latency, $\gtrsim{12}{\rm{hr}}$ sky map. We study optimization choices of the Bayesian prior and signal model which can be used alongside other approaches such as reduced order quadrature. We find these yield up to a $60\%$ reduction in the time required to produce the high-latency localisation for binary neutron star mergers. 9 pages, 10 figures, accepted to MNRAS |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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