The algorithm identifies exoplanet candidates using light curves from robotic telescopes, suggesting accuracy in transit detection.
The paper presents the fundamental principles of photometric investigation of exoplanet candidates through the analysis of archival wide-field images obtained with the robotic telescopes of the MASTER Global Network of Lomonosov Moscow State University. An algorithm has been developed and applied for studying transitexoplanet candidates that does not interfere with the primary objectives of the MASTER network - the detection of optical counterparts of high-energy astrophysical sources and the study of processes occurring in them on various time scales. A number of candidates in the field of the microquasar V404 Cyg have been examined. For the candidate TOI-3570.01, a light curve during the transit of the presumed exoplanet has been obtained, consistent with the calculated ephemerides.
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Tarasenkov et al. (2025) studied this question.
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