Constraining stellar population parameters from narrow band photometric surveys using convolutional neural networks
Upcoming large-area narrow band photometric surveys, such as Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS), will enable us to observe a large number of galaxies simultaneously and efficiently. However, it will be challenging to analyse the spatially resolved stellar populations of galaxies from such big data to
Liew-Cain, Choong Ling et al.
Fecha de publicación:
3
2021