Supervised machine learning for analysing spectra of exoplanetary atmospheres
Author:
Publisher
Springer Science and Business Media LLC
Subject
Astronomy and Astrophysics
Link
http://www.nature.com/articles/s41550-018-0504-2.pdf
Reference46 articles.
1. Banerji, M. et al. Galaxy Zoo: reproducing galaxy morphologies via machine learning. Mon. Not. R. Astron. Soc. 406, 342–353 (2010).
2. Graff, P., Feroz, F., Hobson, M. P. & Lasenby, A. SKYNET: an efficient and robust neural network training tool for machine learning in astronomy. Mon. Not. R. Astron. Soc. 441, 1741–1759 (2014).
3. Pearson, K. A., Palafox, L. & Griffith, C. A. Searching for exoplanets using artificial intelligence. Mon. Not. R. Astron. Soc. 474, 478–491 (2018).
4. Madhusudhan, N. & Seager, S. A temperature and abundance retrieval method for exoplanet atmospheres. Astrophys. J. 707, 24–39 (2009).
5. Benneke, B. & Seager, S. Atmospheric retrieval for super-Earths: uniquely constraining the atmospheric composition with transmission spectroscopy. Astrophys. J. 753, 100 (2012).
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