Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 837

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Stellar population models of Lick indices with variable element abundance ratios

Open access
Thomas, D., Maraston, C., Bender, R.·2003·Monthly Notices of the Royal Astronomical Society

Abstract

We provide the whole set of Lick indices from CN1 to TiO2 in the wavelength range 4000 ≲≲λ≲ 6500 Å of simple stellar population models with, for the first time, variable element abundance ratios, [α/Fe ]= 0.0, 0.3, 0.5, [α/Ca ]=−0.1, 0.0, 0.2, 0.5 and [α/N]=−0.5, 0.0. The models cover ages between 1 and 15 Gyr, metallicities between 1/200 and 3.5 solar. The impact from the element abundance changes on the absorption-line indices is taken from Tripicco & Bell, using an extension of the method introduced by Trager et al. Our models are free from the intrinsic α/Fe bias that was imposed by the Milky Way template stars up to now, hence they reflect well-defined α/Fe ratios at all metallicities. The models are calibrated with Milky Way globular clusters for which metallicities and α/Fe ratios are known from independent spectroscopy of individual stars. The metallicities that we derive from the Lick indices Mg b and Fe5270 are in excellent agreement with the metallicity scale by Zinn & West, and we show that the latter provides total metallicity rather than iron abundance. We can reproduce the relatively strong CN-absorption features CN1 and CN2 of galactic globular clusters with models in which nitrogen is enhanced by a factor of 3. An enhancement of carbon, instead, would lead to serious inconsistencies with the indices Mg1 and C24668. The calcium sensitive index Ca4227 of globular clusters is well matched by our models with [Ca/Fe]= 0.3, including the metal-rich bulge clusters NGC 6528 and 6553. From our α/Fe-enhanced models we infer that the index [MgFe] defined by González is quite independent of α/Fe but still slightly decreases with increasing α/Fe. We find that the index , instead, is completely independent of α/Fe and serves best as a tracer of total metallicity. Searching for blue indices that give similar information as Mg b and 〈Fe〉, we find that CN1 and Fe4383 may be best suited to estimating α/Fe ratios of objects at redshifts z∼ 1.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1046/j.1365-8711.2003.06248.x

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

  • A Catalog of Parameters for Globular Clusters in the Milky Way

    Harris, W. E. (1996) · The Astronomical Journal · doi:10.1086/118116 · Cited by 4,500 · cited 1×

    “In this section we compare the total metallicities [Z/H] derived here for the galactic globular cluster sample with the metallicities given in the Harris (1996) catalog, which are based on the Zinn & West (1984, hereafter ZW84) scale.”
    Method

Show all 1 references

Cited by

See all 837

Metadata

Authors
Thomas, D., Maraston, C., & Bender, R.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2003-03-01
Volume
339
Issue
3
Pages
897-911
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W1997384998
Cited by
837
References
1
FWCI
35.76
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Stellar population models of Lick indices with variable element abundance ratios. https://app.cochat.ai/papers/10.1046/j.1365-8711.2003.06248.x
The paper
Thomas, D., Maraston, C., & Bender, R. (2003). Stellar population models of Lick indices with variable element abundance ratios. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1046/j.1365-8711.2003.06248.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.