Bayesian approach to radio frequency interference mitigation

Fuente: arXiv
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Autores principales: Leeney, S. A. K., Handley, W. J., Acedo, E. de Lera
Formato: Preprint
Publicado: 2022
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author Leeney, S. A. K.
Handley, W. J.
Acedo, E. de Lera
author_facet Leeney, S. A. K.
Handley, W. J.
Acedo, E. de Lera
contents Interfering signals such as Radio Frequency Interference from ubiquitous satellite constellations are becoming an endemic problem in fields involving physical observations of the electromagnetic spectrum. To address this we propose a novel data cleaning methodology. Contamination is simultaneously flagged and managed at the likelihood level. It is modeled in a Bayesian fashion through a piecewise likelihood that is constrained by a Bernoulli prior distribution. The techniques described in this paper can be implemented with just a few lines of code.
format Preprint
id arxiv_https___arxiv_org_abs_2211_15448
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Bayesian approach to radio frequency interference mitigation
Leeney, S. A. K.
Handley, W. J.
Acedo, E. de Lera
Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
Interfering signals such as Radio Frequency Interference from ubiquitous satellite constellations are becoming an endemic problem in fields involving physical observations of the electromagnetic spectrum. To address this we propose a novel data cleaning methodology. Contamination is simultaneously flagged and managed at the likelihood level. It is modeled in a Bayesian fashion through a piecewise likelihood that is constrained by a Bernoulli prior distribution. The techniques described in this paper can be implemented with just a few lines of code.
title Bayesian approach to radio frequency interference mitigation
topic Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2211.15448