Gravitational Wave Detection and Information Extraction via Neural Networks
Abstract
Laser Interferometer Gravitational-Wave Observatory (LIGO) was the first laboratory to measure the gravitational waves. It was needed an exceptional experimental design to measure distance changes much less than a radius of a proton. In the same way, the data analyses to confirm and extract information is a tremendously hard task. Here, it is shown a computational procedure base on artificial neural networks to detect a gravitation wave event and extract the knowledge of its ring-down time from the LIGO data. With this proposal, it is possible to make a probabilistic thermometer for gravitational wave detection and obtain physical information about the astronomical body system that created the phenomenon. Here, the ring-down time is determined with a direct data measure, without the need to use numerical relativity techniques and high computational power.
Keywords
Cite
@article{arxiv.2003.09995,
title = {Gravitational Wave Detection and Information Extraction via Neural Networks},
author = {Gerson R. Santos and Marcela P. Figueiredo and Antonio de Pádua Santos and Pavlos Protopapas and Tiago A. E. Ferreira},
journal= {arXiv preprint arXiv:2003.09995},
year = {2020}
}