Explaining the GWSkyNet-Multi Machine Learning Classifier Predictions for Gravitational-wave Events

Explaining the GWSkyNet-Multi Machine Learning Classifier Predictions for Gravitational-wave Events

GWSkyNet-Multi is a machine learning model developed for the classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories. The model uses limited information released in the low-latency Open Public Alerts to produce prediction scores indicating whether an event...

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Bibliographic Details
Main Authors: Nayyer Raza, Man Leong Chan, Daryl Haggard, Ashish Mahabal, Jess McIver, Thomas C. Abbott, Eitan Buffaz, Nicholas Vieira
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Gravitational wave astronomy
Gravitational wave sources
Convolutional neural networks
Online Access:https://doi.org/10.3847/1538-4357/ad13ea

Internet

https://doi.org/10.3847/1538-4357/ad13ea

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