104 citations · 474 across the 11 of their papers we have counts for
4 papers · 1 filter
SDSS-IV MaNGA PyMorph Photometric and Deep Learning Morphological Catalogs and implications for bulge properties and stellar angular momentum
J. -L. Fischer, H. Domínguez Sánchez, M. Bernardi
We describe the SDSS-IV MaNGA PyMorph Photometric (MPP-VAC) and MaNGA Deep Learning Morphology (MDLM-VAC) Value Added Catalogs. The MPP-VAC provides photometric parameters from Sér…
Transfer learning for galaxy morphology from one survey to another
H. Domínguez Sánchez, M. Huertas-Company, M. Bernardi +56
Deep Learning (DL) algorithms for morphological classification of galaxies have proven very successful, mimicking (or even improving) visual classifications. However, these algorit…
A simultaneous search for High- LAEs and LBGs in the SHARDS survey
P. Arrabal Haro, J. M. Rodríguez Espinosa, C. Muñoz-Tuñón +15
We have undertaken a comprehensive search for both Lyman Alpha Emitters (LAEs) and Lyman Break Galaxies (LBGs) in the SHARDS Survey of the GOODS-N field. SHARDS is a deep imaging s…
Star-forming galaxies at low-redshift in the SHARDS survey
A. Lumbreras-Calle, C. Muñoz-Tuñón, J. Méndez-Abreu +13
The physical processes driving the evolution of star formation (SF) in galaxies over cosmic time still present many open questions. Recent galaxy surveys allow now to study these p…