Gravitational Wave Detection and Information Extraction via Neural Networks
arXiv:2003.09995
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.
References in corpus (6)
- Observation of Gravitational Waves from a Binary Black Hole Merger
- GW151226: Observation of Gravitational Waves from a 22-Solar-Mass Binary Black Hole Coalescence
- GW170814: A Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence
- PyCBC Live: Rapid Detection of Gravitational Waves from Compact Binary Mergers
- The basic physics of the binary black hole merger GW150914
- An analysis of the LIGO discovery based on Introductory Physics