The VMC survey - XXXV. model fitting of LMC Cepheid light curves

Fabio Ragosta, Marcella Marconi, Roberto Molinaro*, Vincenzo Ripepi, Maria Rosa L. Cioni, Maria Ida Moretti, Martin A. T. Groenewegen, Samyaday Choudhury, Richard de Grijs, Jacco Th. van Loon, Joana M. Oliveira, Valentin D. Ivanov, Carlos Gonzalez-Fernandez

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)

    Abstract

    We present the results of the light curve model fitting technique applied to optical and near-infrared photometric data for a sample of 18 Classical Cepheids (11 fundamentals and 7 first overtones) in the Large Magellanic Cloud (LMC). We use optical photometry from the OGLE III data base and near-infrared photometry obtained by the European Southern Observatory public survey 'VISTA near-infrared survey of the Magellanic Clouds system'. Iso-periodic non-linear convective model sequences have been computed for each selected Cepheid in order to reproduce the multifilter light-curve amplitudes and shape details. The inferred individual distances provide an intrinsic weighted mean value for the LMC distance modulus of μ0 = 18.56 mag with a standard deviation of 0.13 mag. We derive also the Period-Radius, the Period-Luminosity, and the Period-Wesenheit relations that are consistent with similar relations in the literature. The intrinsic masses and luminosities of the best-fitting models show that all the investigated pulsators are brighter than the predictions of the canonical evolutionary mass-luminosity relation, suggesting a significant efficiency of non-canonical phenomena, such as overshooting, mass-loss, and/or rotation.

    Original languageEnglish
    Pages (from-to)4975-4984
    Number of pages10
    JournalMonthly Notices of the Royal Astronomical Society
    Volume490
    Issue number4
    DOIs
    Publication statusPublished - Dec 2019

    Keywords

    • stars: oscillations
    • stars: variables: Cepheids
    • Magellanic Clouds
    • galaxies: structure

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