The LSST AGN Data Challenge: Selection Methods

The LSST AGN Data Challenge: Selection Methods

Development of the Rubin Observatory Legacy Survey of Space and Time (LSST) includes a series of Data Challenges (DCs) arranged by various LSST Scientific Collaborations that are taking place during the project's preoperational phase. The AGN Science Collaboration Data Challenge (AGNSC-DC) is a...

Full description

Bibliographic Details
Main Authors: Đorđe V. Savić, Isidora Jankov, Weixiang Yu, Vincenzo Petrecca, Matthew J. Temple, Qingling Ni, Raphael Shirley, Andjelka B. Kovačević, Mladen Nikolić, Dragana Ilić, Luka Č. Popović, Maurizio Paolillo, Swayamtrupta Panda, Aleksandra Ćiprijanović, Gordon T. Richards
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Active galactic nuclei
Quasars
Active galaxies
Neural networks
Classification
Random Forests
Online Access:https://doi.org/10.3847/1538-4357/ace31a

Internet

https://doi.org/10.3847/1538-4357/ace31a

Similar Items