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M. C. Araya

Researcher at California Institute of Technology

Publications -  191
Citations -  40422

M. C. Araya is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Gravitational wave & LIGO. The author has an hindex of 76, co-authored 190 publications receiving 32398 citations.

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GW170817: observation of gravitational waves from a binary neutron star inspiral

B. P. Abbott, +1134 more
TL;DR: The association of GRB 170817A, detected by Fermi-GBM 1.7 s after the coalescence, corroborates the hypothesis of a neutron star merger and provides the first direct evidence of a link between these mergers and short γ-ray bursts.
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GW170814: A three-detector observation of gravitational waves from a binary black hole coalescence

B. P. Abbott, +1116 more
TL;DR: For the first time, the nature of gravitational-wave polarizations from the antenna response of the LIGO-Virgo network is tested, thus enabling a new class of phenomenological tests of gravity.
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GW170817: Measurements of Neutron Star Radii and Equation of State.

B. P. Abbott, +1238 more
TL;DR: This analysis expands upon previous analyses by working under the hypothesis that both bodies were neutron stars that are described by the same equation of state and have spins within the range observed in Galactic binary neutron stars.
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Characterization of the LIGO detectors during their sixth science run

J. Aasi, +887 more
TL;DR: In this paper, the authors review the performance of the LIGO instruments during this epoch, the work done to characterize the detectors and their data, and the effect that transient and continuous noise artefacts have on the sensitivity of the detectors to a variety of astrophysical sources.
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GW190425: Observation of a Compact Binary Coalescence with Total Mass ∼ 3.4 M O

B. P. Abbott, +1274 more
TL;DR: In 2019, the LIGO Livingston detector observed a compact binary coalescence with signal-to-noise ratio 12.9 and the Virgo detector was also taking data that did not contribute to detection due to a low SINR but were used for subsequent parameter estimation as discussed by the authors.