Statistical treatment of searches for counterparts of positionally-uncertain astrophysical sources: From flux upper limits to detection — E8 Intelligence Research

Rapid growth of the multimessenger and multiwavelength astrophysics had led to an increasing number of observations of the same events with instruments with different point spread functions. In particular pointing instruments with good angular resolution are used to pin-point the source of poorly-localized alert. In case no clear detection of the source counterpart is reached, the interpretation of the results requires statistical analysis. We investigate two approaches using the probability density function of the alert: frequentist and Bayesian, as well as agnostic approach not using this information. We discuss the advantages and problems of all the methods, and compare their reliability and performance. We consider both a simple one-dimensional toy simulations and a realistic use case of full simulations of the follow-up of a gravitational wave event with gamma-ray telescopes. The performance of both frequentist and Bayesian approaches for weak signals is comparable and superior to Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.23998423
Primary Topic
Gamma-ray bursts and supernovae
Type
preprint
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preprint

Statistical treatment of searches for counterparts of positionally-uncertain astrophysical sources: From flux upper limits to detection — E8 Intelligence Research

Andrew Stewart Caldin
1 links
Zenodo (CERN European Organization for Nuclear Research)
Gamma-ray bursts and supernovae
preprint

Statistical treatment of searches for counterparts of positionally-uncertain astrophysical sources: From flux upper limits to detection — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Rapid growth of the multimessenger and multiwavelength astrophysics had led to an increasing number of observations of the same events with instruments with different point spread functions. In particular pointing instruments with good angular resolution are used to pin-point the source of poorly-localized alert. In case no clear detection of the source counterpart is reached, the interpretation of the results requires statistical analysis. We investigate two approaches using the probability density function of the alert: frequentist and Bayesian, as well as agnostic approach not using this information. We discuss the advantages and problems of all the methods, and compare their reliability and performance. We consider both a simple one-dimensional toy simulations and a realistic use case of full simulations of the follow-up of a gravitational wave event with gamma-ray telescopes. The performance of both frequentist and Bayesian approaches for weak signals is comparable and superior to Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Gamma-ray bursts and supernovae
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