PyMerger: Detecting Binary Black Hole Mergers from the Einstein Telescope Using Deep Learning

PyMerger: Detecting Binary Black Hole Mergers from the Einstein Telescope Using Deep Learning

We present PyMerger , a Python tool for detecting binary black hole (BBH) mergers from the Einstein Telescope (ET), based on a deep residual neural network (ResNet) model. ResNet was trained on data combined from all three proposed subdetectors of ET (TSDCD) to detect BBH mergers. Five different low...

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Bibliographic Details
Main Authors: Wathela Alhassan, T. Bulik, M. Suchenek
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Gravitational wave detectors
Gravitational waves
Convolutional neural networks
Online Access:https://doi.org/10.3847/1538-4357/ad901e

Internet

https://doi.org/10.3847/1538-4357/ad901e

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