AI Astrobiology Exoplanetary Science
NEW LITERATURE ADDED REGULARLY
2023:
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks. 2022,de Beurs, Z. L., et al.
https://iopscience.iop.org/article/10.3847/1538-3881/ac738e/meta
Keywords: Exoplanets, Deep Learning, Feature Modeling
Exoplanet characterization using conditional invertible neural networks. 2023, Haldemann, J. et al., Astronomy and Astrophysics.
https://doi.org/10.1051/0004-6361/202243230
Keywords: Exoplanets, Neural Nets, Conditional Invertible NN
Exoplanet atmosphere evolution: emulation with neural networks. 2023, Rogers, J. G. et al. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stad089
Keywords: Exoplanets, Neural Nets, Inference, Emulation
Multiplicity Boost of Transit Signal Classifiers: Validation of 69 New Exoplanets using the Multiplicity Boost of ExoMiner. 2023, Valizadegan, H. et al. The Astronomical Journal.
https://iopscience.iop.org/article/10.3847/1538-3881/acd344
Keywords: Exoplanets, Classification, Deep Learning
Exoplanet detection with Genesis. 2022, Visser, K. et al. Journal of Astronomical Instrumentation.
https://doi.org/10.1142/S2251171722500118
Keywords: CNN, Exoplanets, Detection
2022:
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets. 2022, Valizadegan, H., The Astrophysical Journal.
https://iopscience.iop.org/article/10.3847/1538-4357/ac4399/meta
Keywords: Exoplanets, Deep Learning, Classification
2021:
Identifying potential exomoon signals with convolutional neural networks. 2021, Teachey, A., Monthly Notices of the Royal Astronomical Society.
https://doi.org/10.1093/mnras/stab2694
Keywords: CNN, Deep Learning
2019:
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval. 2019,
Cobb, A. D. et al. The Astronomical Journal.
https://iopscience.iop.org/article/10.3847/1538-3881/ab2390
https://github.com/exoml/plan-net?tab=readme-ov-file
https://github.com/exoclime/HELA
Keywords: Neural Nets, Bayesian NN, Exoplanets
Identifying Exoplanets with Deep Learning. II. Two New Super-Earths Uncovered by a Neural Network in K2 Data. 2019, Dattlio A. et al., The Astronomical Journal.
https://iopscience.iop.org/article/10.3847/1538-3881/ab0e12
https://github.com/aedattilo/models_K2?tab=readme-ov-file
Keywords: Deep Learning, Exoplanets, CNN, Detection
Surveying the reach and maturity of machine learning and artificial intelligence in astronomy. 2019, Fluke , C. J., Jacobs, C. WIREs Data Mining Knowl Discov.
https://doi.org/10.1002/widm.1349
Keywords: Review, Machine Learning, Astronomy
2018:
Supervised machine learning for analysing spectra of exoplanetary atmospheres. 2018, Márquez-Neila, P. et al. Nat Astron
https://doi.org/10.1038/s41550-018-0504-2
Keywords: Exoplanets, Classification, Random Forest
Searching for exoplanets using artificial intelligence, 2018, Pearson, K. A. Monthly Notices of the Royal Astronomical Society.
https://doi.org/10.1093/mnras/stx2761
https://github.com/pearsonkyle/Exoplanet-Artificial-Intelligence
Keywords: Deep Learning, CNN, Exoplanets, Detection
Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90. 2018, Shallue, C. J., Vanderburg, A. The Astronomical Journal.
https://iopscience.iop.org/article/10.3847/1538-3881/aa9e09
Keywords: Exoplanets, Deep Learning, Detection
2016:
Dreaming of Atmospheres. 2016, Waldmann, I. P. The Astrophysical Journal
https://iopscience.iop.org/article/10.3847/0004-637X/820/2/107
Keywords: Deep Learning, Exoplanets