scholarly journals Self-consistent Color–Stellar Mass-to-light Ratio Relations for Low Surface Brightness Galaxies

2020 ◽  
Vol 160 (3) ◽  
pp. 122
Author(s):  
Wei Du ◽  
Stacy S. McGaugh
2020 ◽  
Vol 494 (2) ◽  
pp. 1848-1858 ◽  
Author(s):  
Laura V Sales ◽  
Julio F Navarro ◽  
Louis Peñafiel ◽  
Eric W Peng ◽  
Sungsoon Lim ◽  
...  

ABSTRACT We use the IllustrisTNG cosmological hydrodynamical simulation to study the formation of ultradiffuse galaxies (UDGs) in galaxy clusters. We supplement the simulations with a realistic mass–size relation for galaxies at the time of infall into the cluster, as well as an analytical model to describe the tidally induced evolution of their stellar mass, velocity dispersion, and size. The model assumes ‘cuspy’ NFW haloes and, contrary to recent claims, has no difficulty reproducing the observed number of UDGs in clusters. Our results further suggest that the UDG population consists of a mixture of ‘normal’ low surface brightness galaxies such as those found in the field (‘born’ UDGs, or B-UDGs), as well as a distinct population that owe their large size and low surface brightness to the effects of cluster tides (‘tidal’, or T-UDGs). The simulations indicate that T-UDGs entered the cluster earlier and should be more prevalent than B-UDGs near the cluster centres. T-UDGs should also have, at given stellar mass, lower velocity dispersion, higher metallicities, and lower dark matter content than B-UDGs. Our results suggest that systems like DF-44 are consistent with having been born as UDGs, while others such as DF2, DF4, and VLSB-D are possibly extreme T-UDG examples.


2021 ◽  
Vol 502 (3) ◽  
pp. 4262-4276
Author(s):  
R A Jackson ◽  
G Martin ◽  
S Kaviraj ◽  
M Ramsøy ◽  
J E G Devriendt ◽  
...  

ABSTRACT Low-surface-brightness galaxies (LSBGs) – defined as systems that are fainter than the surface-brightness limits of past wide-area surveys – form the overwhelming majority of galaxies in the dwarf regime (M⋆ < 109 M⊙). Using NewHorizon, a high-resolution cosmological simulation, we study the origin of LSBGs and explain why LSBGs at similar stellar mass show the large observed spread in surface brightness. NewHorizon galaxies populate a well-defined locus in the surface brightness–stellar mass plane, with a spread of ∼3 mag arcsec−2, in agreement with deep Sloan Digital Sky Survey (SDSS) Stripe 82 data. Galaxies with fainter surface brightnesses today are born in regions of higher dark matter density. This results in faster gas accretion and more intense star formation at early epochs. The stronger resultant supernova feedback flattens gas profiles at a faster rate, which, in turn, creates shallower stellar profiles (i.e. more diffuse systems) more rapidly. As star formation declines towards late epochs ( z < 1), the larger tidal perturbations and ram pressure experienced by these systems (due to their denser local environments) accelerate the divergence in surface brightness, by increasing their effective radii and reducing star formation, respectively. A small minority of dwarfs depart from the main locus towards high surface brightnesses, making them detectable in past wide surveys (e.g. standard-depth SDSS images). These systems have anomalously high star formation rates, triggered by recent fly-by or merger-driven starbursts. We note that objects considered extreme or anomalous at the depth of current data sets, e.g. ‘ultra-diffuse galaxies’, actually dominate the predicted dwarf population and will be routinely visible in future surveys like the Legacy Survey of Space and Time (LSST).


1999 ◽  
Vol 118 (3) ◽  
pp. 1220-1229 ◽  
Author(s):  
Taft E. Armandroff ◽  
George H. Jacoby ◽  
James E. Davies

1999 ◽  
Vol 514 (2) ◽  
pp. L83-L86 ◽  
Author(s):  
Raul Jimenez ◽  
David V. Bowen ◽  
Francesca Matteucci

2018 ◽  
Vol 864 (1) ◽  
pp. L14 ◽  
Author(s):  
John M. Cannon ◽  
Zili Shen ◽  
Kristen B. W. McQuinn ◽  
Joshua Bartz ◽  
Lilly Bralts-Kelly ◽  
...  

2006 ◽  
Vol 459 (3) ◽  
pp. 679-692 ◽  
Author(s):  
C. Adami ◽  
R. Scheidegger ◽  
M. Ulmer ◽  
F. Durret ◽  
A. Mazure ◽  
...  

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