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An application of Saddlepoint approximation for period detection of stellar light observations

Derezea, Efthymia, Kume, Alfred, Froebrich, Dirk (2023) An application of Saddlepoint approximation for period detection of stellar light observations. Journal of the Royal Statistical Society Series C: Applied Statistics, 72 (1). pp. 1-19. ISSN 0035-9254. E-ISSN 1467-9876. (doi:10.1093/jrsssc/qlac001) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:100495)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://doi.org/10.1093/jrsssc/qlac001

Abstract

One of the main features of interest in analysing the light curves of stars is the underlying periodic behaviour. The corresponding observations are a complex type of time series with unequally spaced time points. The main tools for analysing these type of data rely on the periodogram-like functions constructed with a desired feature so that the peaks indicate the presence of a potential period. We explore a particular periodogram for the irregularly observed time series. We identify the potential periods by implementing the saddlepoint approximation, as a faster and more accurate alternative to the simulation based methods that are currently used. The power analysis of the testing methodology is reported together with applications using light curves from the Hunting Outbursting Young Stars citizen science project.

Item Type: Article
DOI/Identification number: 10.1093/jrsssc/qlac001
Uncontrolled keywords: Statistics, Probability and Uncertainty, Statistics and Probability
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QB Astronomy > QB460 Astrophysics
Divisions: Divisions > Division of Natural Sciences > Physics and Astronomy
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Funders: University of Kent (https://ror.org/00xkeyj56)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 13 Apr 2023 13:53 UTC
Last Modified: 05 Aug 2024 14:31 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/100495 (The current URI for this page, for reference purposes)

University of Kent Author Information

Derezea, Efthymia.

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Kume, Alfred.

Creator's ORCID: https://orcid.org/0000-0001-7683-1693
CReDIT Contributor Roles:

Froebrich, Dirk.

Creator's ORCID:
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