Dispersion-supported galaxy mass profiles with convolutional neural networks
Aims. Determining the dynamical mass profiles of dispersion-supported galaxies is particularly challenging due to projection effects and the unknown shape of their velocity anisotropy profile. Traditionally, this task relies on time-consuming methods that require profile parameterisation and the assumption of dynamical equilibrium and spherical
Sarrato-Alós, J. et al.
Advertised on:
11
2025