545 citations · 6k across the 84 of their papers we have counts for
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PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch
Mario Morvan, Angelos Tsiaras, Nikolaos Nikolaou +1
We present a new open source python package, based on PyLightcurve and PyTorch, tailored for efficient computation and automatic differentiation of exoplanetary transits. The class…
Hubble WFC3 Spectroscopy of the Habitable-zone Super-Earth LHS 1140 b
Billy Edwards, Quentin Changeat, Mayuko Mori +7
Atmospheric characterisation of temperate, rocky planets is the holy grail of exoplanet studies. These worlds are at the limits of our capabilities with current instrumentation in…
ARES IV: Probing the atmospheres of the two warm small planets HD 106315 c and HD 3167 c with the HST/WFC3 camera
Gloria Guilluy, Amélie Gressier, Sam Wright +27
We present an atmospheric characterization study of two medium sized planets bracketing the radius of Neptune: HD 106315 c (R=4.98 0.23 R) and HD 3167 c…
Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals
Kai Hou Yip, Quentin Changeat, Nikolaos Nikolaou +4
Deep learning algorithms are growing in popularity in the field of exoplanetary science due to their ability to model highly non-linear relations and solve interesting problems in…
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots
Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras +20
The last decade has witnessed a rapid growth of the field of exoplanet discovery and characterisation. However, several big challenges remain, many of which could be addressed usin…
On The Compatibility of Ground-based and Space-based Data: WASP-96 b, An Example
Kai Hou Yip, Quentin Changeat, Billy Edwards +5
The study of exoplanetary atmospheres relies on detecting minute changes in the transit depth at different wavelengths. To date, a number of ground and space based instruments have…