2020MNRAS.499.2327G


Query : 2020MNRAS.499.2327G

2020MNRAS.499.2327G - Mon. Not. R. Astron. Soc., 499, 2327-2339 (2020/December-1)

How well can we determine ages and chemical abundances from spectral fitting of integrated light spectra?

GONCALVES G., COELHO P., SCHIAVON R. and USHER C.

Abstract (from CDS):

The pixel-to-pixel spectral fitting technique is often used in studies of stellar populations. It enables the user to infer several parameters from integrated light spectra such as ages and chemical abundances. In this paper, we examine the question of how the inferred parameters change with the choice of wavelength range used. We have employed two different libraries of integrated light spectra of globular clusters (GCs) from the literature and fitted them to stellar population models using the code STARLIGHT. We performed tests using different regions of the spectra to infer reddening, ages, [Fe/H], and [α/Fe]. Comparing our results to age values obtained from isochrone fitting and chemical abundances from high-resolution spectroscopy, we find that: (1) the inferred parameters change with the wavelength range used; (2) the method in general retrieves good reddening estimates, specially when a wider wavelength range is fitted; (3) the ideal spectral regions for determination of age, [Fe/H], and [α/Fe] are 4170-5540, 5280-7020, and 4828-5364 Å, respectively; (4) the retrieved age values for old metal-poor objects can be several Gyr younger than those resulting from isochrone fitting. We conclude that, depending on the parameter of interest and the accuracy requirements, fitting the largest possible wavelength range may not necessarily be the best strategy.

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

Journal keyword(s): techniques: spectroscopic - Galaxy: abundances - Galaxy: fundamental parameters - Galaxy: globular clusters: general - galaxies: stellar content

Status at CDS : Large table(s) will be appraised for possible ingestion in VizieR.

Simbad objects: 21

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Number of rows : 21
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2021
#notes
1 NGC 104 GlC 00 24 05.359 -72 04 53.20   5.78 4.09     ~ 3652 0
2 NGC 121 GlC 00 26 49.0 -71 32 10   11.2 11.24     ~ 285 0
3 M 31 G 00 42 44.330 +41 16 07.50 4.86 4.36 3.44     ~ 11370 1
4 NAME SMC G 00 52 38.0 -72 48 01   2.79 2.2     ~ 9854 1
5 NGC 330 Cl* 00 56 20.59 -72 27 12.5 9.37 9.76 9.55   8.89 ~ 376 0
6 NGC 362 GlC 01 03 14.26 -70 50 55.6     6.58     ~ 978 0
7 NAME Fornax H3 GlC 02 39 48.16 -34 15 28.6   13.59       ~ 113 0
8 NAME Fornax Dwarf Spheroidal G 02 39 59.3 -34 26 57   9.02 7.4     ~ 1552 1
9 NAME Fornax H5 GlC 02 42 21.111 -34 06 05.80   14.5       ~ 90 0
10 NAME Magellanic Clouds GrG 03 00 -71.0           ~ 5994 1
11 NGC 1846 Cl* 05 07 34.900 -67 27 32.45   12.08 11.31     ~ 191 0
12 NAME LMC G 05 23 34.6 -69 45 22     0.4     ~ 15461 1
13 NGC 2004 Cl* 05 30 41.340 -67 17 21.83   9.6       ~ 267 0
14 NGC 2009 Cl* 05 30 59 -69 11.1   11.29 11.02     ~ 17 0
15 NGC 2100 Cl* 05 42 07.200 -69 12 26.99   9.6       ~ 183 0
16 NGC 2682 OpC 08 51 18 +11 48.0           ~ 2109 0
17 NGC 6397 GlC 17 40 42.09 -53 40 27.6   7.39 5.17     ~ 1843 1
18 NGC 6440 GlC 17 48 52.67 -20 21 34.5   12.01 10.10     ~ 490 1
19 NGC 6528 GlC 18 04 49.61 -30 03 20.8   12.12 10.65     ~ 484 0
20 NGC 6553 GlC 18 09 15.68 -25 54 27.9   9.08       ~ 556 0
21 M 30 GlC 21 40 22.12 -23 10 47.5     7.10     ~ 952 0

    Equat.    Gal    SGal    Ecl

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2021.07.26-06:27:50

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