5 papers
Learning novel representations of variable sources from multi-modal data via autoencoders
P. Huijse, J. De Ridder, L. Eyer +18
Gaia Data Release 3 (DR3) published for the first time epoch photometry, BP/RP (XP) low-resolution mean spectra, and supervised classification results for millions of variable sour…
Exploring Young Stellar Variability with Gaia DR3 light curves
Chloé Mas, Julia Roquette, Marc Audard +5
Context: Photometric variability is a defining characteristic of young stellar objects (YSO), which can be traced back to a range of physical processes taking place at different st…
A Deep Neural Network Approach to Compact Source Removal
M. Madarász, G. Marton, I. Gezer +5
Analysing extended emission in photometric observations of star-forming regions requires maps free from compact foreground, embedded, and background sources, which can interfere wi…
SED Modeling of Young Stellar Objects in the Orion Star Formation Complex
Ilknur Gezer, Gábor Marton, Julia Roquette +4
We performed a large-scale spectral energy distribution (SED) fitting analysis for young stellar objects (YSOs) in the Orion star formation complex (OSFC) to derive key physical pa…
The NEMESIS Catalogue of Young Stellar Objects for the Orion Star Formation Complex. I. General description of data curation
J. Roquette, M. Audard, D. Hernandez +5
The past decade has seen a rise in the use of Machine Learning methods in the study of young stellar evolution. This trend has led to a growing need for a comprehensive database of…