A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

Astro-rivelatore Gamma a Immagini Leggero (AGILE) is a space mission launched in 2007 to study X-ray and gamma-ray astronomy. The AGILE team developed real-time analysis pipelines to detect transient phenomena such as gamma-ray bursts (GRBs) and react to external science alerts received by other fac...

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Bibliographic Details
Main Authors: N. Parmiggiani, A. Bulgarelli, A. Ursi, A. Macaluso, A. Di Piano, V. Fioretti, A. Aboudan, L. Baroncelli, A. Addis, M. Tavani, C. Pittori
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Time series analysis
Gamma-ray bursts
Gamma-ray astronomy
Gamma-ray detectors
Convolutional neural networks
Online Access:https://doi.org/10.3847/1538-4357/acba0a

Internet

https://doi.org/10.3847/1538-4357/acba0a

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