activity
20242026
collaborators

20 papers

astro-ph.EP2026

CHEOPS photometry from 2024 reveals a reversal in the transit-timing variations of AU Mic c

Z. Garai, Gy. M. Szabó, D. Gandolfi +90

We present new CHEOPS transit observations of AU Mic b and AU Mic c obtained between June and September 2024, extending the baseline of transit-timing measurements of this young pl…

astro-ph.EP2026

Spin-Orbit Geometry of AU Mic b and c from Back-to-Back Transits Observed Contemporaneously with Magellan PFS, LCOGT, and CHEOPS

Zitao Lin, Gyula M. Szabó, Krzysztof Sz. Zieliński +37

Young planets offer a unique window into the early stages of planetary evolution. AU Mic is one of the nearest (9.8 pc) pre-main sequence stars (~20 Myr), hosting two transiting Ne…

astro-ph.EP2026

An Ultra-Short Period Super-Earth and a Sub-Neptune Orbiting the K dwarf TOI-4311

Yoshi Nike Emilia Eschen, Thomas G. Wilson, Andrew Collier Cameron +95

We report the discovery and characterisation of the multi-planetary system around TOI-4311, a K dwarf kinematically between the Galactic thick disk and Hercules stream. TOI-4311 ho…

astro-ph.EP2026

The multi-planet system TOI-5624: Four transiting sub-Neptunes with an outer companion revealed by transit-timing variations

A. Bonfanti, D. Gandolfi, P. Leonardi +96

Following the 2022 alert of a TESS object of interest transiting TOI-5624 (a G7 V star 100 pc away), a CHEOPS campaign in 2023 detected four planetary signals at $P_b\approx3…

astro-ph.EP2026

Origin and characterization of super-Earths and sub-Neptunes

Léna Parc, Julia Venturini, François Bouchy +6

Super-Earths and sub-Neptunes represent the most common class of exoplanets discovered to date in our galaxy, yet they have no direct analogues in the Solar System. Since 2014, res…

astro-ph.EP2026

Machine Learning as a Transformative Tool for (Exo-)Planetary Science

J. Davoult, V. T. Bickel, C. Haslebacher +11

The exploration of planetary bodies in our Solar system and beyond relies on the processing and interpretation of large, spatio-temporally inconsistent, and heterogeneous datasets.…