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Detection of exomoons in simulated light curves with a regularized convolutional neural network
- Publication Year :
- 2020
-
Abstract
- Context.Many moons have been detected around planets in our Solar System, but none has been detected unambiguously around any of the confirmed extrasolar planets.Aims.We test the feasibility of a supervised convolutional neural network to classify photometric transit light curves of planet-host stars and identify exomoon transits, while avoiding false positives caused by stellar variability or instrumental noise.Methods.Convolutional neural networks are known to have contributed to improving the accuracy of classification tasks. The network optimization is typically performed without studying the effect of noise on the training process. Here we design and optimize a 1D convolutional neural network to classify photometric transit light curves. We regularize the network by the total variation loss in order to remove unwanted variations in the data features.Results.Using numerical experiments, we demonstrate the benefits of our network, which produces results comparable to or better than the standard network solutions. Most importantly, our network clearly outperforms a classical method used in exoplanet science to identify moon-like signals. Thus the proposed network is a promising approach for analyzing real transit light curves in the future.
- Subjects :
- FOS: Physical sciences
Context (language use)
02 engineering and technology
Astrophysics
01 natural sciences
Convolutional neural network
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
False positive paradox
Instrumentation and Methods for Astrophysics (astro-ph.IM)
010303 astronomy & astrophysics
Solar and Stellar Astrophysics (astro-ph.SR)
Earth and Planetary Astrophysics (astro-ph.EP)
Physics
Noise (signal processing)
business.industry
Computer Science::Information Retrieval
Exomoon
Process (computing)
Astronomy and Astrophysics
Pattern recognition
Light curve
Exoplanet
Astrophysics - Solar and Stellar Astrophysics
Space and Planetary Science
020201 artificial intelligence & image processing
Artificial intelligence
Astrophysics::Earth and Planetary Astrophysics
business
Astrophysics - Instrumentation and Methods for Astrophysics
Astrophysics - Earth and Planetary Astrophysics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....ef4eef61b900d1e0ac1d9d5886c362a9