Results 21 to 30 of about 495,355 (288)

A STELLAR MASS THRESHOLD FOR QUENCHING OF FIELD GALAXIES [PDF]

open access: bronzeThe Astrophysical Journal, 2012
We demonstrate that dwarf galaxies (10^7 < M_stellar < 10^9 Msun) with no active star formation are extremely rare (<0.06%) in the field. Our sample is based on the NASA-Sloan Atlas which is a re-analysis of the Sloan Digital Sky Survey Data Release 8.
Marla Geha   +3 more
openalex   +5 more sources

Death at watersheds: Galaxy quenching in low-density environments [PDF]

open access: yesAstronomy & Astrophysics, 2022
Our aim is to understand the effect of environment to galaxy quenching in various local and global environments. We focus on galaxies with very old stellar populations (VO galaxies), typically found in the centers of clusters and groups, and search for ...
M. Einasto   +5 more
semanticscholar   +1 more source

Signatures of quenching in dwarf galaxies in local galaxy clusters [PDF]

open access: bronzeAstronomy & Astrophysics, 2021
Context. The transformation of late-type galaxies has been suggested as the origin of early-type dwarf galaxies (typically M⋆ ≤ 109 M⊙) in galaxy clusters. Based on deep images, Venhola and colleagues analysed correlations between colour and surface brightness for galaxies in the Fornax cluster binned by luminosity or stellar mass. In the bins with M⋆ &
Joachim Janz   +3 more
openalex   +8 more sources

The role of stochastic and smooth processes in regulating galaxy quenching [PDF]

open access: yesAstronomy & Astrophysics, 2021
Context. Galaxies can be classified as passive ellipticals or star-forming discs. Ellipticals dominate at the high end of the mass range, and therefore there must be a mechanism responsible for the quenching of star-forming galaxies. This could either be
R. Kipper   +4 more
semanticscholar   +1 more source

Quenched Galaxies in Clusters of Galaxies and Their Outskirts [PDF]

open access: yesAstrophysical Bulletin, 2020
Based on the SDSS data, the properties of galaxies with quenched star formation (QGs) within the "splashback"-radius of galaxy clusters $R_{\rm sp}$ and beyond it have been studied.
F. G. Kopylova, Alexander I. Kopylov
openaire   +3 more sources

From Clusters to Proto-Clusters: The Infrared Perspective on Environmental Galaxy Evolution

open access: yesUniverse, 2022
Environment is one of the primary drivers of galaxy evolution; via multiple mechanisms, it can control the critical process of transforming galaxies from star forming to quiescent, commonly termed “quenching”. Despite its importance, however, we still do
Stacey Alberts, Allison Noble
doaj   +1 more source

How to quench a galaxy [PDF]

open access: yesMonthly Notices of the Royal Astronomical Society, 2016
Clarifications and added references; accepted for publication in ...
Pontzen, Andrew   +7 more
openaire   +5 more sources

What drives galaxy quenching? Resolving molecular gas and star formation in the green valley [PDF]

open access: yesMonthly Notices of the Royal Astronomical Society: Letters, 2020
We study quenching in seven green valley galaxies on kpc scales by resolving their molecular gas content using 12CO(1–0) observations obtained with NOrthern Extended Millimeter Array and Atacama Large Millimeter Array, and their star formation rate ...
Simcha Brownson   +4 more
semanticscholar   +1 more source

THE QUENCHING TIMESCALE AND QUENCHING RATE OF GALAXIES [PDF]

open access: yesThe Astrophysical Journal, 2016
ABSTRACT The average star formation rate (SFR) in galaxies has been declining since the redshift of 2. A fraction of galaxies quench and become quiescent. We constrain two key properties of the quenching process: the quenching timescale and the quenching rate among galaxies.
Jianhui Lian   +3 more
openaire   +4 more sources

The Fundamental Signature of Star Formation Quenching from AGN Feedback: A Critical Dependence of Quiescence on Supermassive Black Hole Mass, Not Accretion Rate

open access: yesThe Astrophysical Journal, 2023
We identify the intrinsic dependence of star formation quenching on a variety of galactic and environmental parameters, utilizing a machine-learning approach with Random Forest classification.
Asa F. L. Bluck   +2 more
doaj   +1 more source

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