Binarity at LOw Metallicity (BLOeM): massive star variability revealed using a novel software tool for point-spread function fitting of TESS images
Pieterjan J. Van Daele, Dominic M. Bowman, Roey Ovadia, Zehava Katabi, Julia Bodensteiner, Tomer Shenar, Norbert Langer, Jan Henneco, Ankur Kalita, Paul A. Crowther, Maude Gull, Laurent Mahy, Lee Patrick, Daniel Pauli, Micha{\l} Pawlak

TL;DR
This paper introduces a novel PSF-based method called { extsc Lemons} for extracting accurate TESS light curves of low-metallicity massive stars, revealing their variability and binarity despite observational challenges.
Contribution
The paper presents a new PSF-fitting technique that improves light curve extraction for faint, crowded low-metallicity massive stars, enabling detailed variability analysis.
Findings
Accurate light curves for 91 SMC massive stars were obtained.
Variability types including binarity and pulsations were identified.
SLF variability morphology correlates with stellar position in the HR diagram.
Abstract
Massive stars, the progenitors of neutron stars and black holes, play a crucial role in shaping the chemical and radiative properties of entire galaxies through their winds and explosive deaths. Stellar pulsations are a common phenomenon in massive stars and asteroseismology -- the study of such pulsations -- provides crucial constraints on the physics of massive star interiors. The excitation of heat-driven pulsations in massive stars is expected to depend on a star's metallicity, but this remains largely uncalibrated in evolution models due to a lack of a sufficient observations. While TESS has dramatically improved the statistics for Galactic massive stars, obtaining TESS light curves for low-metallicity massive stars beyond the Milky Way is challenging, due to their faintness and heavy crowding. In this paper, we present a novel point-spread function (PSF) based light curve…
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