The quenching of galaxies, bulges, and disks since cosmic noon A machine learning approach for identifying causality in astronomical data Article

Bluck, Asa FL, Maiolino, Roberto, Brownson, Simcha et al. (2022). The quenching of galaxies, bulges, and disks since cosmic noon A machine learning approach for identifying causality in astronomical data . ASTRONOMY & ASTROPHYSICS, 659 10.1051/0004-6361/202142643

Open Access International Collaboration

cited authors

  • Bluck, Asa FL; Maiolino, Roberto; Brownson, Simcha; Conselice, Christopher J; Ellison, Sara L; Piotrowska, Joanna M; Thorp, Mallory D

authors

publication date

  • March 22, 2022

published in

keywords

  • ACTIVE GALACTIC NUCLEI
  • ALMAQUEST SURVEY
  • Astronomy & Astrophysics
  • INTEGRAL FIELD SPECTROSCOPY
  • MAIN-SEQUENCE
  • MULTIWAVELENGTH MEASUREMENT
  • Physical Sciences
  • SDSS-IV MANGA
  • SIMILAR-TO 3
  • STAR-FORMATION HISTORY
  • STELLAR MASS
  • SUPERMASSIVE BLACK-HOLES
  • Science & Technology
  • evolution
  • formation
  • galaxies
  • star formation
  • statistics
  • structure

Digital Object Identifier (DOI)

publisher

  • EDP SCIENCES S A

volume

  • 659