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An algorithm for automatic identification of asymmetric transits in the TESS database

Published online by Cambridge University Press:  30 May 2022

M. Vasylenko Open the ORCID record for M. Vasylenko [Opens in a new window] ,
Ya. Pavlenko ,
D. Dobrycheva ,
I. Kulyk ,
O. Shubina  and
P. Korsun
M. Vasylenko
Affiliation:
Main Astronomical Observatory of the NAS of Ukraine, 27 Akademika Zabolotny Str., Kyiv, 03143, Ukraine Institute of Physics of the National Academy of Sciences of Ukraine, 46 avenue Nauka, Kyiv, 03028, Ukraine
Ya. Pavlenko
Affiliation:
Main Astronomical Observatory of the NAS of Ukraine, 27 Akademika Zabolotny Str., Kyiv, 03143, Ukraine
D. Dobrycheva
Affiliation:
Main Astronomical Observatory of the NAS of Ukraine, 27 Akademika Zabolotny Str., Kyiv, 03143, Ukraine
I. Kulyk
Affiliation:
Main Astronomical Observatory of the NAS of Ukraine, 27 Akademika Zabolotny Str., Kyiv, 03143, Ukraine
O. Shubina
Affiliation:
Main Astronomical Observatory of the NAS of Ukraine, 27 Akademika Zabolotny Str., Kyiv, 03143, Ukraine Astronomical Observatory of Taras Shevchenko National University of Kyiv, 3 Observatorna Str., Kyiv, 04053, Ukraine
P. Korsun
Affiliation:
Main Astronomical Observatory of the NAS of Ukraine, 27 Akademika Zabolotny Str., Kyiv, 03143, Ukraine
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Abstract

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Currently, the Transiting Exoplanet Survey Satellite (TESS) searches for Earth-size planets around nearby dwarf stars. To identify specific weak variations in the light curves of stars, sophisticated data processing methods and analysis of the light curve shapes should be developed and applied. We report some preliminary results of our project to find and identify minima in the light curves of stars collected by TESS and stored in the MAST (Mikulski Archive for Space Telescopes) database. We developed Python code to process the short-cadence (2-min) TESS PDCSAP (Pre-search Data Conditioning Simple Aperture Photometry) light curves. Our code allows us to create test samples to apply machine learning methods to classify minima in the light curves taking into account their morphological signatures. Our approach will be used to find and analyze some sporadic events in the observed light curves originating from transits of comet-like bodies.

Keywords

TESSMASTexoplanetsexocomets
Type
Poster Paper
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S364: Multi-scale (Time and Mass) Dynamics of Space Objects (Oct 2021) , October 2019 , pp. 264 - 266
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of International Astronomical Union

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