A self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics (2021)
Attributed to:
The cycle of life, death and rebirth in massive early-type galaxies; star formation, black-holes and feedback
funded by
STFC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1093/mnras/stab427
Publication URI: http://dx.doi.org/10.1093/mnras/stab427
Type: Journal Article/Review
Parent Publication: Monthly Notices of the Royal Astronomical Society
Issue: 1