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The GALAH survey: improving chemical abundances using star clusters
ID
Kos, Janez
(
Author
),
ID
Beeson, Kevin Luke
(
Author
),
ID
Zwitter, Tomaž
(
Author
),
ID
Traven, Gregor
(
Author
), et al.
URL - Source URL, Visit
https://www.aanda.org/articles/aa/full_html/2025/11/aa54112-25/aa54112-25.html
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Abstract
Large spectroscopic surveys aim to consistently compute stellar parameters of very diverse stars, while minimizing systematic errors. We explore the use of stellar clusters as benchmarks to verify the precision of spectroscopic parameters in the fourth data release (DR4) of the GALAH survey. We examine 58 open and globular clusters and associations to validate measurements of temperature, gravity, chemical abundances, and stellar ages. We focus on identifying systematic errors and understanding trends between stellar parameters, particularly temperature and chemical abundances. We identify trends by stacking measurements of chemical abundances against effective temperature and modelling them with splines. We also re-fit spectra in three clusters with the Spectroscopy Made Easy and Korg packages to reproduce the trends in DR4 and to search for their origin by varying temperature and gravity priors, linelists, and the spectral continuum. Trends are consistent between clusters of different ages and metallicities, can reach amplitudes of similar to 0.5 dex, and differ for dwarfs and giants. We use the derived trends to correct the DR4 abundances of 24 and 31 chemical elements for dwarfs and giants, respectively, and publish a detrended catalogue. While the origin of the trends could not be pinpointed, we found that: i) photometric priors affect derived abundances, ii) temperature, metallicity, and continuum levels are degenerate in spectral fitting, and it is hard to break the degeneracy even by using independent measurements, iii) the completeness of the linelist used in spectral synthesis is essential for cool stars, and iv) different spectral fitting codes produce significantly different iron abundances for stars of all temperatures. We conclude that clusters can be used to characterise the systematic errors of parameters produced in large surveys, but further research is needed to explain the origin of the trends.
Language:
English
Keywords:
astronomy
,
large spectroscopic surveys
,
globular clusters
,
chemical abundances
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FMF - Faculty of Mathematics and Physics
Publication status:
Published
Publication version:
Version of Record
Year:
2025
Number of pages:
29 str.
Numbering:
Vol. 703, art. no. A104
PID:
20.500.12556/RUL-182727
UDC:
524
ISSN on article:
1432-0746
DOI:
10.1051/0004-6361/202554112
COBISS.SI-ID:
278539267
Publication date in RUL:
21.05.2026
Views:
262
Downloads:
186
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Record is a part of a journal
Title:
Astronomy & astrophysics
Shortened title:
Astron. astrophys.
Publisher:
EDP Sciences
ISSN:
1432-0746
COBISS.SI-ID:
392577
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
astronomija
,
spektroskopski pregledi neba
,
kroglaste kopice
,
kemična sestava
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P1-0188
Name:
Astrofizika in fizika atmosfere
Funder:
Other - Other funder or multiple funders
Funding programme:
European Space Agency
Project number:
4000142234
Name:
/
Funder:
Other - Other funder or multiple funders
Funding programme:
European Space Agency
Project number:
4000143450
Name:
/
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