3 citations · 3 across the 3 of their papers we have counts for
3 papers
Beyond single tracers: CNN-based inference of galaxy mass profiles from combined gas and stellar kinematics
Julen Expósito-Márquez, Arianna Di Cintio, Chris Brook +2
We investigate whether combining gas and stellar kinematic maps provides measurable advantages in recovering galaxy mass profiles, compared to using single-component maps alone. Wh…
Galaxy mass profiles with convolutional neural networks
Jorge Sarrato-Alós, Christopher Brook, Arianna Di Cintio +3
Determining the dynamical mass profiles of dispersion-supported galaxies is particularly challenging due to projection effects and the unknown shape of their velocity anisotropy pr…
A probabilistic deep learning model to distinguish cusps and cores in dwarf galaxies
J. Expósito-Márquez, C. B. Brook, M. Huertas-Company +4
Numerical simulations within a cold dark matter (DM) cosmology form halos whose density profiles have a steep inner slope (`cusp'), yet observations of galaxies often point towards…