J/A+A/698/A322 Catalog of stellar atmospheric parameters (Li+, 2025)
Directly deriving atmospheric parameters for one million stars from
SMSS photometric images.
Li S., Wu F., Bu Y., Zhang M., Zhang J., Yi Z., Liu M., Kong X.
<Astron. Astrophys. 698, A322 (2025)>
=2025A&A...698A.322L 2025A&A...698A.322L (SIMBAD/NED BibCode)
ADC_Keywords: Stars, fundamental ; Photometry, CCD ; Abundances, [Fe/H] ;
Effective temperatures
Keywords: methods: data analysis - methods: statistical -
techniques: photometric - stars: abundances -
stars: fundamental parameters
Abstract:
The precise determination of stellar atmospheric parameters (effective
temperature Teff, surface gravity log g, and metallicity [Fe/H])
serves as a cornerstone for Galactic studies. This work aims to
develop a novel deep learning-based approach, the Atmospheric CSWin
Framework (ACF), to measure these parameters with high precision. The
ACF employs a dual-input architecture that combines astrometric data
(parallaxes and their corresponding errors) from Gaia Early Data
Release 3 with photometric images from the fourth data release (DR4)
of the SkyMapper Southern Survey (SMSS). The framework utilizes a
CSWin Transformer backbone for hierarchical feature extraction from
photometric images, integrated with Monte Carlo dropout in the
prediction module for robust uncertainty quantification. Trained on
cross-matched stars between SMSS DR4 and the third data release of the
Galactic Archaeology with HERMES spectroscopic survey, ACF achieves
parameter estimates with dispersions of 95.02K for Teff, 0.07dex for
logg, and 0.14dex for [Fe/H]. Systematic experiments demonstrate: (1)
Incorporating parallax information significantly improves the
precision of all three parameters, especially logg; (2) Our
image-based methods outperform traditional approaches relying on
stellar magnitudes or colors, with improvements ranging from 2% to
14%; (3) The ACF achieves parameter estimates approaching those of
high-resolution spectroscopic analyses; (4) Our framework remains
effective even for low-quality samples, showcasing its robustness and
generalizability. Using the ACF, we compiled a comprehensive catalog
of atmospheric parameters for one million SMSS DR4 stars.
Description:
Utilizing our newly developed photometric image-driven ACF method, we
present a catalog of atmospheric parameters for one million Southern
Hemisphere stars. The catalog covers:
- effective temperature: 4000-8000K
- surface gravity: 0-5
- metallicity: -3 to +1
All stars in this catalog have undergone rigorous quality filtering to
ensure contamination-free measurements from neighboring objects.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
catalog.dat 125 1000000 Catalog of stellar atmospheric parameters
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See also:
II/379 : SkyMapper Southern Sky Survey. DR4 (Onken+, 2024)
Byte-by-byte Description of file: catalog.dat
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Bytes Format Units Label Explanations
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1- 10 I10 --- ObjectId Global unique object ID in SMSS DR4 master
table (Cat. II/379)
12- 21 F10.6 deg RAdeg Mean ICRS Right Ascension of the object
(ICRS, Ep=J2000)
23- 32 F10.6 deg DEdeg Mean ICRS Declination of the object
(ICRS, Ep=J2000)
34- 36 I3 mas e_RAdeg RMS variation around the mean
Right Ascension
38- 40 I3 mas e_DEdeg RMS variation around the mean Declination
42- 51 F10.6 deg GLON Galactic longitude derived from
ICRS coordinates
53- 62 F10.6 deg GLAT Galactic latitude derived from
ICRS coordinates
64- 72 F9.4 K Teff Effective temperature
74- 81 F8.4 K e_Teff Uncertainty of effective temperature
83- 88 F6.4 [cm/s2] logg Surface gravity
90- 95 F6.4 [cm/s2] e_logg Uncertainty of surface gravity
97-103 F7.4 [Sun] [Fe/H] Metallicity
105-110 F6.4 [Sun] e_[Fe/H] Uncertainty of metallicity
112-118 F7.4 mas plx Parallax from Gaia EDR3
120-125 F6.4 mas e_plx Uncertainty of parallax from Gaia EDR3
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Acknowledgements:
Shanshan Li, shanshan.li(at)mail.sdu.edu.cn
(End) Patricia Vannier [CDS] 02-May-2025