A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) -- I. Search for exoplanets and variable stars in the field of 47 Tuc
D. Nardiello, L. Borsato, G. Piotto, L. S. Colombo, E. E., Manthopoulou, L. R. Bedin, V. Granata, G. Lacedelli, M. Libralato, L., Malavolta, M. Montalto, V. Nascimbeni

TL;DR
This paper introduces a PSF-based method for extracting high-precision light curves from crowded stellar environments in TESS data, enabling the detection of exoplanets and variable stars in stellar clusters like 47 Tuc.
Contribution
The paper presents an innovative PSF-based photometric technique that improves light curve extraction in crowded fields, facilitating exoplanet and variable star detection in dense stellar environments.
Findings
Detected one planetary candidate in 47 Tuc field.
Achieved ~1% photometric precision for stars down to T~16.5.
Analyzed period-luminosity relations and eclipsing binaries.
Abstract
The TESS mission will survey ~85 % of the sky, giving us the opportunity of extracting high-precision light curves of millions of stars, including stellar cluster members. In this work, we present our project "A PSF-based Approach to TESS High quality data Of Stellar clusters" (PATHOS), aimed at searching and characterise candidate exoplanets and variable stars in stellar clusters using our innovative method for the extraction of high-precision light curves of stars located in crowded environments. Our technique of light-curve extraction involves the use of empirical Point Spread Functions (PSFs), an input catalogue and neighbour-subtraction. The PSF-based approach allows us to minimise the dilution effects in crowded environments and to extract high-precision photometry for stars in the faint regime (G>13). For this pilot project, we extracted, corrected, and analysed the light curves…
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