Results 131 to 140 of about 71,345 (243)

Measuring neutron star tidal deformability with Advanced LIGO: a Bayesian analysis of neutron star - black hole binary observations

open access: yes, 2017
The discovery of gravitational waves (GW) by Advanced LIGO has ushered us into an era of observational GW astrophysics. Compact binaries remain the primary target sources for LIGO, of which neutron star-black hole (NSBH) binaries form an important subset.
Kumar, Prayush   +2 more
core   +1 more source

A radiometer for stochastic gravitational waves

open access: yes, 2005
The LIGO Scientific Collaboration recently reported a new upper limit on an isotropic stochastic background of gravitational waves obtained based on the data from the 3rd LIGO science Run (S3).
Barish B, Cornish N J, Stefan W Ballmer
core   +1 more source

Comparison of LIGO/Virgo upper limits with predicted compact binary\n merger rates [PDF]

open access: green, 2012
Krzysztof Belczyński   +4 more
openalex   +2 more sources

Searches for Gravitational Waves from Binary Neutron Stars: A Review

open access: yes, 2007
A new generation of observatories is looking for gravitational waves. These waves, emitted by highly relativistic systems, will open a new window for ob- servation of the cosmos when they are detected.
A Abramovici   +70 more
core   +1 more source

Searching for dark torsion signatures at LIGO in Nieh–Yan teleparallel chiral gravitational waves and Chern–Simons invariants

open access: yesEuropean Physical Journal C: Particles and Fields
Romano has recently found that frequency modulation of gravitational waves (GWs) could be used as a dark matter probe. Many candidates for dark matter (DM) of various sources have been proposed in the literature.
L. C. Garcia de Andrade
doaj   +1 more source

First LIGO events: binary black holes mergings [PDF]

open access: green, 1997
V. M. Lipunov   +5 more
openalex   +1 more source

Rapid likelihood free inference of compact binary coalescences using accelerated hardware

open access: yesMachine Learning: Science and Technology
We report a gravitational-wave parameter estimation algorithm, AMPLFI , based on likelihood-free inference using normalizing flows. The focus of AMPLFI is to perform real-time parameter estimation for candidates detected by machine-learning based compact
D Chatterjee   +14 more
doaj   +1 more source

PREPARING FOR ADVANCED LIGO: A STAR–GALAXY SEPARATION CATALOG FOR THE PALOMAR TRANSIENT FACTORY [PDF]

open access: bronze, 2017
A A Miller   +5 more
openalex   +1 more source

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