TESS Science Conference 2
Published July 23, 2021 | Version v2
Poster Open

Identify Transit Signals with Deep Learning Based Object Detection Algorithm

Creators

  • 1. Tsung-Dao Lee Institute, Shanghai Jiao Tong University
  • 2. Megvii Technology
  • 3. National Astronomical Observatories, Chinese Academy of Sciences

Contributors

  • 1. Tsung-Dao Lee Institute, Shanghai Jiao Tong University

Description

Deep learning algorithms are widely used in many fields of astronomy, and have a wide range of applications in transiting exoplanet detection and classification. We have trained an neural network using two-dimensional object detection algorithm with Kepler and TESS light curves. Our network outputs excellent performance on Kepler and TESS data. The detected transits can amplify their periodicity and our network can be easily used to find single transiting events and cluster multiple transits.

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Additional details

Related works

References
Preprint: https://arxiv.org/abs/2108.00670 (URL)

References

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