activity
20232026
most citedIdentifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework

13 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.EP2026

A decade of monitoring the HIP 41378's planetary system

S. Grouffal, A. Santerne, X. Dumusque +32

Multi-planetary systems provide key constraints on planet formation and evolution, as their architecture encodes the dynamical history of planets formed within a common protoplanet…

astro-ph.EP2026

Automatic search for transiting planets in TESS-SPOC FFIs with RAVEN: over 100 newly validated planets and over 2000 vetted candidates

M. Lafarga, D. J. Armstrong, K. Cui +7

Space-based missions such as TESS are identifying a wealth of short-period ( d) transiting planets. Despite the growing number of confirmed and candidate planets, the s…

astro-ph.EP2026★ 2 cited

Assessment of PLATO Science Performance

Juan Cabrera, Heike Rauer, Reza Samadi +121

The PLATO mission is scheduled for launch early 2027. In this paper we present an overview of the performance drivers for the mission at the time where all flight models of the cam…

astro-ph.EP2025

RAVEN: RAnking and Validation of ExoplaNets

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

We present RAVEN, a newly developed vetting and validation pipeline for TESS exoplanet candidates. The pipeline employs a Bayesian framework to derive the posterior probability of…

astro-ph.IM2023★ 13 cited

Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework

Kaiming Cui, D. J. Armstrong, Fabo Feng

Vast amounts of astronomical photometric data are generated from various projects, requiring significant effort to identify variable stars and other object classes. In light of thi…