Autoregressive moving average modelling of TESS photometry of massive stars

dc.contributor.authorKoen, Chris
dc.date.accessioned2026-01-26T12:49:26Z
dc.date.available2026-01-26T12:49:26Z
dc.date.issued2025
dc.description.abstractStandard statistical time-series analysis methods developed for observations regularly spaced in time are applied to measurements of 30 massive stars. Two Transiting Exoplanets Survey Satellite 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.
dc.identifier.citationKoen, C., 2025. Autoregressive moving average modelling of TESS photometry of massive stars. Monthly Notices of the Royal Astronomical Society, 538(3), pp.2171-2185.
dc.identifier.urihttps://doi.org/10.1093/mnras/staf403
dc.identifier.urihttps://hdl.handle.net/10566/21858
dc.language.isoen
dc.publisherOxford University Press
dc.subjectmethods: statistical
dc.subjectstars: massive
dc.subjectstars: variables: general
dc.subjectOrbits
dc.subjectGiant stars
dc.titleAutoregressive moving average modelling of TESS photometry of massive stars
dc.typeArticle

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