Código QR

A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys

We present a new method based on information theory to find the optimal number of bands required to measure the physical properties of galaxies with desired accuracy. As a proof of concept, using the recently updated COSMOS catalog (COSMOS2020), we identify the most relevant wave bands for measuring...

ver descrição completa

Na minha lista:
Principais autores: Nima Chartab, Bahram Mobasher, Asantha R. Cooray, Shoubaneh Hemmati, Zahra Sattari, Henry C. Ferguson, David B. Sanders, John R. Weaver, Daniel K. Stern, Henry J. McCracken, Daniel C. Masters, Sune Toft, Peter L. Capak, Iary Davidzon, Mark E. Dickinson, Jason Rhodes, Andrea Moneti, Olivier Ilbert, Lukas Zalesky, Conor J. R. McPartland, István Szapudi, Anton M. Koekemoer, Harry I. Teplitz, Mauro Giavalisco
Formato: Artigo
Idioma:Inglês
Publicado em: IOP Publishing 2023-01-01
Colecção:The Astrophysical Journal
Assuntos:
Astronomy data analysis
Astronomy data visualization
Galaxy evolution
Acesso em linha:https://doi.org/10.3847/1538-4357/acacf5
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados