Finding Circumbinary Planets: A Semi-Automated Transit Search of TESS Eclipsing Binaries

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Finding Circumbinary Planets: A Semi-Automated Transit Search of TESS Eclipsing Binaries

Examples of events identified by mono-cbp and vetted by the model comparison (Section 2.4). Top left: Sector 6 transit of TOI-1338 b (same as Fig. 1), classified as a transit. Top right: An instrumental systematic occurring in the Sector 4 light curve of TIC 55497281, classified as a step. Bottom left: Poor removal of stellar variability in the Sector 8 light curve of TIC 5092088, classified as a sinusoid. Bottom right: An unclassified event occurring in Sector 12 light curve of TIC 260502102, where there was no preferred model. In all panels, the shaded regions depict the 16th and 84th percentiles of the posterior distributions for each model. β€” astro-ph.EP

The discovery of circumbinary planets (CBPs) has advanced our understanding of planet formation and dynamical evolution in complex environments.

However, the population of such planets remains small, leading their underlying physical properties to be loosely constrained. In this work, we have developed a semi-automated framework to identify planetary transit events in light curves of eclipsing binaries observed by the Transiting Exoplanet Survey Satellite (TESS).

Our search method, πš–πš˜πš—πš˜βˆ’πšŒπš‹πš™, removes stellar eclipses and applies a custom detrending procedure, searching for individual transit events and applying automated vetting procedures to filter false positive signals.

We searched a sample of binaries from the TESS Eclipsing Binary Catalogue, yielding one candidate transit event. πš–πš˜πš—πš˜βˆ’πšŒπš‹πš™ was also tested on the known population of transiting CBPs, using the Kepler long-cadence photometry for the Kepler transiting CBPs and the TESS Full Frame Image photometry for the TESS CBPs.

Excluding transits that are shallower than the intrinsic noise of the Kepler/TESS data, πš–πš˜πš—πš˜βˆ’πšŒπš‹πš™ achieved a recovery rate of β‰₯50 per cent for each planet, reaching >75 per cent for 9 of the 14 planets.

To test the limits of our framework, we injected simulated transit profiles with varying depth and duration into our sample of TESS light curves, finding that our recovery rate is a strong function of transit duration and the metrics used to filter false positive signals. This framework may be applied to large samples of TESS eclipsing binaries with little computational burden and to photometry from future space-based photometric surveys.

Benjamin D. R. Davies, David J. A. Brown, Samuel Gill, Jenni R. French

Comments: 18 pages, 15 figures, 3 tables. Accepted for publication in MNRAS. Code available at this https URL
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Solar and Stellar Astrophysics (astro-ph.SR)
Cite as: arXiv:2604.09435 [astro-ph.EP] (or arXiv:2604.09435v1 [astro-ph.EP] for this version)
https://doi.org/10.48550/arXiv.2604.09435
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Submission history
From: Benjamin Davies MPhys
[v1] Fri, 10 Apr 2026 15:51:44 UTC (1,587 KB)
https://arxiv.org/abs/2604.09435
Astrobiology, Astronomy, exoplanet,

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