Characterizing the temporal evolution of the high-frequency gravitational wave emission for a core collapse supernova with laser interferometric data: A neural network approach

Alejandro Casallas-Lagos; Javier M. Antelis; Claudia Moreno; Michele Zanolin; Anthony Mezzacappa; Marek J. Szczepańczyk

doi:10.1103/PhysRevD.108.084027

Characterizing the temporal evolution of the high-frequency gravitational wave emission for a core collapse supernova with laser interferometric data: A neural network approach

Alejandro Casallas-Lagos
, Javier M. Antelis
, Claudia Moreno
, Michele Zanolin
, Anthony Mezzacappa
, Marek J. Szczepańczyk

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

Original language	English
Article number	084027
Journal	Physical Review D
Volume	108
Issue number	8
DOIs	https://doi.org/10.1103/PhysRevD.108.084027
State	Published - Oct 15 2023
Externally published	Yes

ASJC Scopus Subject Areas

Nuclear and High Energy Physics

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10.1103/PhysRevD.108.084027

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Casallas-Lagos, A., Antelis, J. M., Moreno, C., Zanolin, M., Mezzacappa, A., & Szczepańczyk, M. J. (2023). Characterizing the temporal evolution of the high-frequency gravitational wave emission for a core collapse supernova with laser interferometric data: A neural network approach. Physical Review D, 108(8), Article 084027. https://doi.org/10.1103/PhysRevD.108.084027

Characterizing the temporal evolution of the high-frequency gravitational wave emission for a core collapse supernova with laser interferometric data: A neural network approach. / Casallas-Lagos, Alejandro; Antelis, Javier M.; Moreno, Claudia et al.
In: Physical Review D, Vol. 108, No. 8, 084027, 15.10.2023.

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

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Characterizing the temporal evolution of the high-frequency gravitational wave emission for a core collapse supernova with laser interferometric data: A neural network approach

ASJC Scopus Subject Areas

Access to Document

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