A novel theoretical approach to predict the interannual variability of sulfur in Mercury’s exosphere and subsurface by S. Verkercke, J. Y. Chaufray, F. Leblanc, A. Georgiou, M. S. Phillips, G. Munaretto, J. Lewis, A. Ricketts, L. Morrissey

“…Since its discovery approximately 50 years ago, Mercury’s exosphere has been extensively observed by both ground-based and space-borne telescopes. The MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) spacecraft operated 4 years in orbit around Mercury and allowed for the surface composition species to be inferred, notably including sulfur (S). …”
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Training a convolutional neural network for exoplanet classification with transit photometry data by Juliana Wang

“…As a result, efforts to enhance the efficiency of exoplanet research have led to the development of various detection methods, including transit photometry. Despite their effectiveness, these methods produce data that require detailed interpretation, such as identifying dips in light curves. …”
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