As gravitational wave detectors improve, the rate at which sources are observed is steadily increasing. Scientific exploitation of these sources relies on careful analysis of the data, and so gravitational wave data analysis is also a rapidly growing and evolving field. In this Perspective, we provide an introduction to the basic concepts of gravitational wave data analysis with reference to current pipelines. We describe some of the computational advancements and machine learning techniques that have recently been introduced to reduce the computational burden of the analysis. We conclude by discussing some of the challenges that will be encountered in the analysis of data from future detectors.

Speri, L., Karnesis, N., Renzini, A., Gair, J. (2022). A roadmap of gravitational wave data analysis. NATURE ASTRONOMY, 6(12), 1356-1363 [10.1038/s41550-022-01849-y].

A roadmap of gravitational wave data analysis

Renzini A. I.
Penultimo
;
2022

Abstract

As gravitational wave detectors improve, the rate at which sources are observed is steadily increasing. Scientific exploitation of these sources relies on careful analysis of the data, and so gravitational wave data analysis is also a rapidly growing and evolving field. In this Perspective, we provide an introduction to the basic concepts of gravitational wave data analysis with reference to current pipelines. We describe some of the computational advancements and machine learning techniques that have recently been introduced to reduce the computational burden of the analysis. We conclude by discussing some of the challenges that will be encountered in the analysis of data from future detectors.
Articolo in rivista - Articolo scientifico
gravitational wave
English
12-dic-2022
2022
6
12
1356
1363
reserved
Speri, L., Karnesis, N., Renzini, A., Gair, J. (2022). A roadmap of gravitational wave data analysis. NATURE ASTRONOMY, 6(12), 1356-1363 [10.1038/s41550-022-01849-y].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/459298
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