Discovery of small ultra-short-period planets orbiting Kepler KG dwarfs with GPU phase folding and deep learning
Abstract
Of over 5000 exoplanets identified so far, only a few hundred possess sub-Earth radii. The formation processes of these sub-Earths remain elusive, and acquiring additional samples is essential for investigating this unique population. In our study, we employ the GPFC method, a novel GPU phase folding algorithm combined with a convolutional neural network, on the Kepler photometry data. This method enhances the transit search speed significantly over the traditional Box-fitting Least Squares method, allowing a complete search of the known Kepler KOI data within days using a commercial GPU card. To date, we have identified five new ultra-short-period planets (USPs): Kepler-158d, Kepler-963c, Kepler-879c, Kepler-1489c, and KOI-4978.02. Kepler-879c with a radius of 0.4 R
- Publication:
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Monthly Notices of the Royal Astronomical Society
- Pub Date:
- November 2024
- DOI:
- arXiv:
- arXiv:2312.17382
- Bibcode:
- 2024MNRAS.534.1913W
- Keywords:
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- Astrophysics - Earth and Planetary Astrophysics;
- Computer Science - Machine Learning
- E-Print:
- 15 pages, 23 figures