Detecting Binary Compact-object Mergers with Gravitational Waves: Understanding and Improving the Sensitivity of the PyCBC Search

Alexander H. Nitz, Thomas Dent, Tito Dal Canton, Stephen Fairhurst, Duncan A. Brown

Research output: Contribution to journalArticle

47 Scopus citations

Abstract

We present an improved search for binary compact-object mergers using a network of ground-based gravitational wave detectors. We model a volumetric, isotropic source population and incorporate the resulting distribution over signal amplitude, time delay, and coalescence phase into the ranking of candidate events. We describe an improved modeling of the background distribution, and demonstrate incorporating a prior model of the binary mass distribution in the ranking of candidate events. We find an ∼10% and ∼20% increase in detection volume for simulated binary neutron star and neutron star black hole systems, respectively, corresponding to a reduction of the false alarm rates assigned to signals by between one and two orders of magnitude.

Original languageEnglish (US)
Article number118
JournalAstrophysical Journal
Volume849
Issue number2
DOIs
StatePublished - Nov 10 2017

Keywords

  • black hole physics
  • gravitational waves
  • stars: neutron

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'Detecting Binary Compact-object Mergers with Gravitational Waves: Understanding and Improving the Sensitivity of the PyCBC Search'. Together they form a unique fingerprint.

  • Cite this