2020MNRAS.497.4753Z


Query : 2020MNRAS.497.4753Z

2020MNRAS.497.4753Z - Mon. Not. R. Astron. Soc., 497, 4753-4772 (2020/October-1)

SDSS-IV MaNGA: Bayesian analysis of the star formation history of low-mass galaxies in the local Universe.

ZHOU S., MO H.J., LI C., BOQUIEN M. and ROSSI G.

Abstract (from CDS):

We measure the star formation histories (SFHs) of a sample of low-mass galaxies with M* < 109 M☉ from the SDSS-IV MaNGA survey. The large number of IFU spectra for each galaxy are either combined to reach a high signal to noise ratio or used to investigate spatial variations. We use Bayesian inferences based on full spectrum fitting. Our analysis based on Bayesian evidence ratio indicates a strong preference for a model that allows the presence of an old stellar population, and that an improper model for the SFH can significantly underestimate the old population in these galaxies. The addition of near-infrared photometry to the constraining data can further distinguish between different SFH model families and significantly tighten the constraints on the mass fraction in the old population. On average more than half of the stellar mass in present-day low-mass galaxies formed at least 8 Gyr ago, while about 30 per cent within the past 4 Gyr. Satellite galaxies on average have formed their stellar mass earlier than central galaxies. The radial dependence of the SFH is quite weak. Our results suggest that most of the low-mass galaxies have an early episode of active star formation that produces a large fraction of their present stellar mass.

Abstract Copyright: © 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): galaxies: evolution - galaxies: formation - galaxies: fundamental parameters - galaxies: stellar content

Simbad objects: 8

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Number of rows : 8
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 LEDA 3995639 EmG 07 36 11.40001 +32 30 54.5202           ~ 10 0
2 LEDA 2231252 EmG 11 09 19.00986 +43 52 29.2129           ~ 21 0
3 LEDA 2379621 G 11 42 13.645 +50 40 53.40           ~ 11 0
4 LEDA 1834087 GiC 12 58 32.287 +28 22 40.70     17.16 16.88   ~ 23 0
5 LEDA 44643 EmG 12 59 39.8152735224 +27 34 35.193798804   16.53 15.56 15.42   ~ 55 0
6 LEDA 1797957 EmG 13 39 32.361 +27 06 25.73           ~ 17 0
7 LEDA 2175668 EmG 15 33 30.521 +41 05 46.01           ~ 13 0
8 NAME Local Group GrG ~ ~           ~ 9325 0

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