activity
20182023
most citedA new method for unveiling Open Clusters in Gaia: new nearby Open Clusters confirmed by DR2

197 citations · 941 across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

13 papers · 1 filter

astro-ph.EP2020★ 16 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★ 38 cited

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.EP2020★ 72 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.EP2020★ 39 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★ 2 cited

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…

astro-ph.IM2020★ 2 cited

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…