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SINGLETRANS: A Novel Detection Algorithm for Mono-Transit Surveys in CoRoT, Kepler, K2, and TESS Light Curves

Presentation #222.08 in the session Exoplanets Formation & Evolution (Poster + Lightning Talk)

Published onOct 23, 2023
SINGLETRANS: A Novel Detection Algorithm for Mono-Transit Surveys in CoRoT, Kepler, K2, and TESS Light Curves

Planetary detection has largely relied on the analysis of high-resolution stellar light curves collected by space missions such as CoRoT, Kepler, K2, and TESS. Automatic detection pipelines comb through these light curves for periodic transits utilizing algorithms like the Box Least Squares (BLS) or frequency analysis. However, single transits of shallow depth, particularly for smaller planets like Neptune or Super-Earths, are often overlooked by these algorithms.

To counter this limitation, we’ve developed a new wavelet-based algorithm, SINGLETRANS, engineered explicitly to detect these single transits. By scanning the available archived data from CoRoT, Kepler, K2, and TESS for previously undetected single transits, we can identify candidates with larger orbital periods. Notably, our algorithm can also discern quasi-periodic transits, making it uniquely suited for detecting circumbinary planets or those with pronounced transit timing variations (TTV).

The newly detected candidates are analyzed statistically and compared with those identified using the BLS algorithm alone. Promising candidates will be selected for further study and follow-up observation within the KESPRINT collaboration. The objective of our research is to enrich the exoplanet population by discovering more candidates with larger orbital periods.

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