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Improving agnostic searches of Gravitational Waves from Neutron Star instabilities using image filtering

Published online by Cambridge University Press:  27 February 2023

Lorenzo Pierini Open the ORCID record for Lorenzo Pierini [Opens in a new window]
Lorenzo Pierini*
Affiliation:
Dipartimento di Fisica, Università degli Studi di Roma La Sapienza, Istituto Nazionale di Fisica Nucleare, Sezione Roma 1, Piazzale Aldo Moro 2, 00185, Rome, Italy
*
email: lorenzo.pierini@roma1.infn.it
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Abstract

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In this paper I present a method to enhance the search sensitivity for long transient Gravitational Waves produced by Neutron Star instabilities. This method consists in a selective image filter, called Triangular Filter, to be applied to data spectrograms. It is shown that thanks to this implementation a ∼20% gain in sensitivity is achievable.

Keywords

Gravitational WavesNeutron StarsData AnalysisImage Filtering

Information

Type
Poster Paper
Information
Proceedings of the International Astronomical Union , Volume 16 , Symposium S363: Neutron Star Astrophysics at the Crossroads: Magnetars and the Multimessenger Revolution , June 2020 , pp. 352 - 353
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

References

Lasky, Paul D. 2015, PASA, 32, E034 CrossRefGoogle Scholar
Miller, A., 2018, Phys. Rev. D, 98.10: 102004 CrossRefGoogle Scholar
Abbott, B.P., 2019, ApJ, 875, 160 CrossRefGoogle Scholar