12 citations · 23 across the 4 of their papers we have counts for
5 papers
The NEMESIS general YSO catalogue - I. Supervised classification with deep learning methods
G. Marton, M. Madarász, J. Roquette +4
In modern large-scale surveys, young stellar objects (YSOs) are mostly identified by the infrared excess in their spectral energy distributions (SEDs). To this end, YSO identificat…
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…
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…
Orbit determination of visual binary systems observed with CST telescope in 2010-2013
F. M. Rica, R. Barrena, J. A. Henríquez +4
We present new orbital solutions for 15 binaries, which were astrometrically measured during 2010-2013. We observe the binary systems using the FastCam ``lucky-imaging'' camera, in…
The Rate and Spatial Distribution of Novae in M31 as Determined by a Twenty-Year Survey
Travis A. Rector, Allen W. Shafter, William A. Burris +11
A long-term (1995-2016) survey for novae in the nearby Andromeda galaxy (M31) was conducted as part of the Research-Based Science Education initiative. During the course of the sur…