Bayesian statistical framework for identifying strongly lensed gravitational-wave signals

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Bayesian statistical framework for identifying strongly lensed gravitational-wave signals. / Lo, Rico K. L.; Magaña Hernandez, Ignacio.

I: Physical Review D, Bind 107, Nr. 12, 123015, 13.06.2023.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Lo, RKL & Magaña Hernandez, I 2023, 'Bayesian statistical framework for identifying strongly lensed gravitational-wave signals', Physical Review D, bind 107, nr. 12, 123015. https://doi.org/10.1103/PhysRevD.107.123015

APA

Lo, R. K. L., & Magaña Hernandez, I. (2023). Bayesian statistical framework for identifying strongly lensed gravitational-wave signals. Physical Review D, 107(12), [123015]. https://doi.org/10.1103/PhysRevD.107.123015

Vancouver

Lo RKL, Magaña Hernandez I. Bayesian statistical framework for identifying strongly lensed gravitational-wave signals. Physical Review D. 2023 jun. 13;107(12). 123015. https://doi.org/10.1103/PhysRevD.107.123015

Author

Lo, Rico K. L. ; Magaña Hernandez, Ignacio. / Bayesian statistical framework for identifying strongly lensed gravitational-wave signals. I: Physical Review D. 2023 ; Bind 107, Nr. 12.

Bibtex

@article{3eb8699763fd42f0bf91dfcf922ed1e9,
title = "Bayesian statistical framework for identifying strongly lensed gravitational-wave signals",
author = "Lo, {Rico K. L.} and {Maga{\~n}a Hernandez}, Ignacio",
year = "2023",
month = jun,
day = "13",
doi = "10.1103/PhysRevD.107.123015",
language = "English",
volume = "107",
journal = "Physical Review D",
issn = "2470-0010",
publisher = "American Physical Society",
number = "12",

}

RIS

TY - JOUR

T1 - Bayesian statistical framework for identifying strongly lensed gravitational-wave signals

AU - Lo, Rico K. L.

AU - Magaña Hernandez, Ignacio

PY - 2023/6/13

Y1 - 2023/6/13

U2 - 10.1103/PhysRevD.107.123015

DO - 10.1103/PhysRevD.107.123015

M3 - Journal article

VL - 107

JO - Physical Review D

JF - Physical Review D

SN - 2470-0010

IS - 12

M1 - 123015

ER -

ID: 385023080