A Machine Learning-based Source Property Inference for Compact Binary Mergers-Reference-Cited by-同舟云学术

A Machine Learning-based Source Property Inference for Compact Binary Mergers

Published:2020-06-12 Issue:1 Volume:896 Page:54
ISSN:1538-4357
Container-title:The Astrophysical Journal
language:
Short-container-title:ApJ

Author:

Chatterjee Deep^ORCID,Ghosh Shaon^ORCID,Brady Patrick R.^ORCID,Kapadia Shasvath J.^ORCID,Miller Andrew L.,Nissanke Samaya^ORCID,Pannarale Francesco^ORCID

Funder

National Science Foundation

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://iopscience.iop.org/article/10.3847/1538-4357/ab8dbe/pdf

Reference58 articles.

1. Characterization of the LIGO detectors during their sixth science run

2. Multi-messenger Observations of a Binary Neutron Star Merger

3. Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA

4. Low-latency Gravitational-wave Alerts for Multimessenger Astronomy during the Second Advanced LIGO and Virgo Observing Run

5. GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs

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