activity
20182021
most citedARES I: WASP-76 b, A Tale of Two HST Spectra

75 citations · 384 across the 10 of their papers we have counts for

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Showing astro-ph.EPShow all

14 papers · 1 filter

astro-ph.EP2021

ARES V: No Evidence For Molecular Absorption in the HST WFC3 Spectrum of GJ 1132 b

Lorenzo V. Mugnai, Darius Modirrousta-Galian, Billy Edwards +25

We present a study on the spatially scanned spectroscopic observations of the transit of GJ 1132 b, a warm (500 K) Super-Earth (1.13 R) that was obtained with the G1…

astro-ph.EP202016 cited

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…

astro-ph.EP2020

ExoClock Project: An open platform for monitoring the ephemerides of Ariel targets with contributions from the public

Anastasia Kokori, Angelos Tsiaras, Billy Edwards +46

The Ariel mission will observe spectroscopically around 1000 exoplanets to further characterise their atmospheres. For the mission to be as efficient as possible, a good knowledge…

astro-ph.EP202072 cited

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…

astro-ph.EP202039 cited

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…

astro-ph.EP2020

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…