TL;DR
Pandora is an open-source Python software that models, detects, and characterizes exomoon transits in stellar photometric data, optimized for large-scale searches with high accuracy and computational efficiency.
Contribution
It introduces Pandora, the first fully open-source, photodynamical exomoon detection algorithm implemented in Python, suitable for large-scale space-based survey data.
Findings
Successfully simulated and recovered exomoon system parameters.
Achieved a runtime of about five hours for a typical search.
Demonstrated applicability to upcoming space missions like PLATO.
Abstract
We present Pandora, a new software to model, detect, and characterize transits of extrasolar planets with moons in stellar photometric time series. Pandora uses an analytical description of the transit light curve for both the planet and the moon in front of a star with atmospheric limb darkening and it covers all cases of mutual planet-moon eclipses during transit. The orbital motion of the star-planet-moon system is computed with a high accuracy as a nested Keplerian problem. We have optimized Pandora for computational speed to make it suitable for large-scale exomoon searches in the new era of space-based high-accuracy surveys. We demonstrate the usability of Pandora for exomoon searches by first simulating a light curve with four transits of a hypothetical Jupiter with a giant Neptune-sized exomoon in a one-year orbit around a Sun-like star. The 10 min cadence of the data matches…
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