Autoregressive Moving Average Modelling of <i>TESS</i> Photometry of Massive Stars

Abstract Standard statistical time series analysis methods developed for observations regularly spaced in time are applied to measurements of 30 massive stars. Two TESS orbits of observations of each of the stars are analysed using this time domain methodology. It is found that the majority of light curves do not exhibit quasi-periodicities, i.e. the variability is fully aperiodic. The effective temperature and gravity can be used to predict with good accuracy the presence/absence of quasi-periodicities. Frequencies have a quadratic dependence on the effective temperature. The calculation of characteristic frequencies is also discussed. It is shown that the use of inappropriate spectral forms for this purpose may lead to biased results.

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Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2025-03-11
DOI
https://doi.org/10.1093/mnras/staf403
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
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article

Autoregressive Moving Average Modelling of TESS Photometry of Massive Stars

C. Koen
Monthly Notices of the Royal Astronomical Society
Infrared Target Detection Methodologies
article

Autoregressive Moving Average Modelling of TESS Photometry of Massive Stars

C. Koen
article en

Abstract

Abstract Standard statistical time series analysis methods developed for observations regularly spaced in time are applied to measurements of 30 massive stars. Two TESS orbits of observations of each of the stars are analysed using this time domain methodology. It is found that the majority of light curves do not exhibit quasi-periodicities, i.e. the variability is fully aperiodic. The effective temperature and gravity can be used to predict with good accuracy the presence/absence of quasi-periodicities. Frequencies have a quadratic dependence on the effective temperature. The calculation of characteristic frequencies is also discussed. It is shown that the use of inappropriate spectral forms for this purpose may lead to biased results.

Monthly Notices of the Royal Astronomical Society
University of the Western Cape (ZA)
Openalex Percentile: Top 94%
Infrared Target Detection Methodologies
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