Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae

Javier M. Antelis; Marco Cavaglia; Travis Hansen; Manuel D. Morales; Claudia Moreno; Soma Mukherjee; Marek J. Szczepańczyk; Michele Zanolin

doi:10.1103/PhysRevD.105.084054

Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae

Javier M. Antelis
, Marco Cavaglia
, Travis Hansen
, Manuel D. Morales
, Claudia Moreno
, Soma Mukherjee
, Marek J. Szczepańczyk
, Michele Zanolin

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	084054
Journal	Physical Review D
Volume	105
Issue number	8
DOIs	https://doi.org/10.1103/PhysRevD.105.084054
State	Published - Apr 15 2022
Externally published	Yes

ASJC Scopus Subject Areas

Nuclear and High Energy Physics

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10.1103/PhysRevD.105.084054

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title = "Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae",

author = "Antelis, \{Javier M.\} and Marco Cavaglia and Travis Hansen and Morales, \{Manuel D.\} and Claudia Moreno and Soma Mukherjee and Szczepa{\'n}czyk, \{Marek J.\} and Michele Zanolin",

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AU - Antelis, Javier M.

AU - Cavaglia, Marco

AU - Hansen, Travis

AU - Morales, Manuel D.

AU - Moreno, Claudia

AU - Mukherjee, Soma

AU - Szczepańczyk, Marek J.

AU - Zanolin, Michele

PY - 2022/4/15

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JO - Physical Review D

JF - Physical Review D

IS - 8

M1 - 084054

ER -

Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae

ASJC Scopus Subject Areas

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