379 citations · 1.2k across the 10 of their papers we have counts for
10 papers
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…
The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library
D. S. Aguado, Romina Ahumada, Andres Almeida +230
Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years o…
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…
gradients driven by IMF variation: Large impact on dynamical stellar mass estimates
M. Bernardi, R. K. Sheth, H. Dominguez-Sanchez +4
Within a galaxy the stellar mass-to-light ratio is not constant. Spatially resolved kinematics of nearby early-type galaxies suggest that allowing for a variable initial mass…
Improving galaxy morphologies for SDSS with Deep Learning
H. Domínguez Sánchez, M. Huertas-Company, M. Bernardi +2
We present a morphological catalogue for 670,000 galaxies in the Sloan Digital Sky Survey in two flavours: T-Type, related to the Hubble sequence, and Galaxy Zoo 2 (GZ2 here…
Stellar mass functions and implications for a variable IMF
M. Bernardi, R. K. Sheth, J. -L. Fischer +6
Spatially resolved kinematics of nearby galaxies has shown that the ratio of dynamical- to stellar population-based estimates of the mass of a galaxy () correlat…
Comparing PyMorph and SDSS photometry. II. The differences are more than semantics and are not dominated by intracluster light
M. Bernardi, J. -L. Fischer, R. K. Sheth +4
The Sloan Digital Sky Survey pipeline photometry underestimates the brightnesses of the most luminous galaxies. This is mainly because (i) the SDSS overestimates the sky background…
Comparing PyMorph and SDSS photometry. I. Background sky and model fitting effects
J. -L. Fischer, M. Bernardi, A. Meert
A number of recent estimates of the total luminosities of galaxies in the SDSS are significantly larger than those reported by the SDSS pipeline. This is because of a combination o…
The high mass end of the stellar mass function: Dependence on stellar population models and agreement between fits to the light profile
M. Bernardi, A. Meert, R. K. Sheth +5
We quantify the systematic effects on the stellar mass function which arise from assumptions about the stellar population, as well as how one fits the light profiles of the most lu…
A deficit of ultraluminous X-ray sources in luminous infrared galaxies
W. Luangtip, T. P. Roberts, S. Mineo +5
We present results from a Chandra study of ultraluminous X-ray sources (ULXs) in a sample of 17 nearby (D_L<60 Mpc) luminous infrared galaxies (LIRGs), selected to have star format…