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Prinoth, Bibiana; Hoeijmakers, H. Jens; Kitzmann, Daniel; Sandvik, Elin; Seidel, Julia V.; Lendl, Monika; Borsato, Nicholas W.; Thorsbro, Brian; Anderson, David R.; Barrado, David; Kravchenko, Kateryna; Allart, Romain; Bourrier, Vincent; Cegla, Heather M.; Ehrenreich, David; Fisher, Chloe; Lovis, Christophe; Guzmán-Mesa, Andrea; Grimm, Simon; Hooton, Matthew; ... (2022). Titanium oxide and chemical inhomogeneity in the atmosphere of the exoplanet WASP-189 b. Nature astronomy, 6(4), pp. 449-457. Springer Nature 10.1038/s41550-021-01581-z
Fisher, Chloe; Heng, Kevin (2022). How Do We Optimally Sample Model Grids of Exoplanet Spectra? Astrophysical journal, 934(1), p. 31. Institute of Physics Publishing IOP 10.3847/1538-4357/ac7801
Grimm, Simon L; Malik, Matej; Kitzmann, Daniel; Guzmán-Mesa, Andrea; Hoeijmakers, H. Jens; Fisher, Chloe; Mendonça, João M.; Yurchenko, Sergey N.; Tennyson, Jonathan; Alesina, Fabien; Buchschacher, Nicolas; Burnier, Julien; Segransan, Damien; Kurucz, Robert L.; Heng, Kevin (2021). HELIOS-K 2.0 Opacity Calculator and Open-source Opacity Database for Exoplanetary Atmospheres. Astrophysical journal - supplement series, 253(1), p. 30. Institute of Physics Publishing IOP 10.3847/1538-4365/abd773
Fisher, Chloe; Hoeijmakers, H. Jens; Kitzmann, Daniel; Márquez-Neila, Pablo; Grimm, Simon L.; Sznitman, Raphael; Heng, Kevin (2020). Interpreting High-resolution Spectroscopy of Exoplanets using Cross-correlations and Supervised Machine Learning. The astronomical journal, 159(5), p. 192. American Astronomical Society 10.3847/1538-3881/ab7a92
Fisher, Chloe; Heng, Kevin (2019). How Much Information Does the Sodium Doublet Encode? Retrieval Analysis of Non-LTE Sodium Lines at Low and High Spectral Resolutions. Astrophysical journal, 881(1), p. 25. Institute of Physics Publishing IOP 10.3847/1538-4357/ab29e8
Fisher, Chloe; Hoeijmakers, H. Jens; Kitzmann, Daniel; Márquez-Neila, Pablo; Grimm, Simon L.; Sznitman, Raphael; Heng, Kevin (3 March 2020). Interpreting High-Resolution Spectroscopy of Exoplanets Using Cross-Correlations and Supervised Machine Learning (arXiv). Cornell University
