activity
20232026
most citedExoplANNET: A deep learning algorithm to detect and identify planetary signals in radial velocity data

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.EP2026★ 3 cited

Demographics of Close-In TESS Exoplanets Orbiting FGK Main-sequence Stars

Kaiming Cui, David J. Armstrong, Andreas Hadjigeorghiou +5

Understanding the demographics of close-in planets is crucial for insights into exoplanet formation and evolution. We present a detailed analysis of occurrence rates for close-in (…

astro-ph.EP2025

The TOI-1117 Multi-planetary System: 3 sub-Neptunes, 1 in both the Neptunian Desert and Radius Valley

Isobel S. Lockley, David J. Armstrong, Jorge Fernández Fernández +33

We present the discovery of three sub-Neptune planets around TOI-1117, a Sun-like star with mass , radius , age Gyr and ef…

astro-ph.EP2025★ 1 cited

A Swarm of WASP Planets: Nine giant planets identified by the WASP survey

Nicole Schanche, Guillaume Hébrard, Keivan G. Stassun +52

The Wide Angle Search for Planets (WASP) survey provided some of the first transiting hot Jupiter candidates. With the addition of the Transiting Exoplanet Survey Satellite (TESS),…

astro-ph.EP2025

The NCORES Program: Precise planetary masses, null results, and insight into the planet mass distribution near the radius gap

David J. Armstrong, Ares Osborn, Remo Burn +39

NCORES was a large observing program on the ESO HARPS spectrograph, dedicated to measuring the masses of Neptune-like and smaller transiting planets discovered by the TESS satellit…

astro-ph.EP2023★ 6 cited

ExoplANNET: A deep learning algorithm to detect and identify planetary signals in radial velocity data

L. A. Nieto, R. F. Díaz

The detection of exoplanets with the radial velocity method consists in detecting variations of the stellar velocity caused by an unseen sub-stellar companion. Instrumental errors,…