17 citations · 34 across the 11 of their papers we have counts for
4 papers · 1 filter
Exploring galactic properties with machine learning Predicting star formation, stellar mass, and metallicity from photometric data
F. Z. Zeraatgari, F. Hafezianzadeh, Y. -X. Zhang +2
Aims. We explore machine learning techniques to forecast star formation rate, stellar mass, and metallicity across galaxies with redshifts ranging from 0.01 to 0.3. Methods. Levera…
Euclid: Early Release Observations -- A glance at free-floating new-born planets in the sigma Orionis cluster
E. L. Martín, M. {Ž}erjal, H. Bouy +175
We provide an early assessment of the imaging capabilities of the Euclid space mission to probe deeply into nearby star-forming regions and associated very young open clusters, and…
Reconnaissance ultracool spectra in the Euclid Deep Fields
Jerry Jun-Yan Zhang, Nicolas Lodieu, Eduardo Martín
Context. Euclid will carry out a deep survey benefiting the discovery and characterisation of ultracool dwarfs (UCDs), especially in the Euclid Deep Fields (EDFs), which the telesc…
Optical properties of Y dwarfs observed with the Gran Telescopio Canarias
Eduardo L. Martín, Jerry J. -Y. Zhang, Honorio Lanchas +3
Observations of five Y dwarfs with three optical and near-infrared instruments at the 10.4 m Gran Telescopio Canarias are reported. Deep images of the five targets and a low-resolu…