Kepler Space Telescope

The Kepler Space Telescope's primary objective was to discover exoplanets using the transit method, detecting periodic dips in starlight caused by planets passing in front of their stars. Current research focuses on improving the detection and characterization of these planets, particularly small, short-period planets, employing advanced machine learning techniques such as convolutional neural networks (CNNs), Siamese networks, and novel phase-folding algorithms to analyze the vast Kepler dataset and overcome challenges like noise and transit timing variations. These advancements significantly enhance the efficiency and accuracy of exoplanet identification, contributing to a more comprehensive understanding of planetary systems and their formation.

Papers

May 7, 2024

The Detection of KIC 1718360, A Rotating Variable with a Possible Companion, Using Machine Learning
Jakob Roche
Machine Learning Data Detection Light Curve Composite Variable Construction Deep Companion Kepler Space Telescope

December 28, 2023

Discovery of Small Ultra-short-period Planets Orbiting KG Dwarfs in Kepler Survey Using GPU Phase Folding and Deep Learning Detection System
Kaitlyn Wang, Jian Ge, Kevin Willis, Kevin Wang, Yinan Zhao, Quanquan Hu
Deep Learning Kepler Space Telescope

December 12, 2023

One-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets
Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez, Javier Rodríguez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Planetary Transit Exoplanet Detection Transit Supply Kepler Space Telescope

May 16, 2023

Identification and Classification of Exoplanets Using Machine Learning Techniques
Prithivraj G, Alka Kumari
Machine Learning Classification Code Person Identification Deep Learning Algorithm Exoplanet Candidate Kepler Space Telescope

April 1, 2022

Identifying Exoplanets with Machine Learning Methods: A Preliminary Study
Yucheng Jin, Lanyi Yang, Chia-En Chiang
Machine Learning Preliminary Study Exoplanet Candidate Kepler Space Telescope

January 27, 2022

Alleviating the Transit Timing Variations bias in transit surveys. II. RIVERS: Twin resonant Earth-sized planets around Kepler-1972 recovered from Kepler's false positive
A. Leleu, J. -B. Delisle, R. Mardling, S. Udry, G. Chatel, Y. Alibert, P. Eggenberger
Kepler 1972 Transit Supply Kepler Space Telescope Transit Timing Variation

Kepler Space Telescope

Papers

The Detection of KIC 1718360, A Rotating Variable with a Possible Companion, Using Machine Learning

Discovery of Small Ultra-short-period Planets Orbiting KG Dwarfs in Kepler Survey Using GPU Phase Folding and Deep Learning Detection System

One-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets

Identification and Classification of Exoplanets Using Machine Learning Techniques

Identifying Exoplanets with Machine Learning Methods: A Preliminary Study

Alleviating the Transit Timing Variations bias in transit surveys. II. RIVERS: Twin resonant Earth-sized planets around Kepler-1972 recovered from Kepler's false positive