J/A+A/691/A144 Metallicities of red giants in S-PLUS (Molina-Jorquera+, 2024)
Determination of metallicities of red giant stars using machine learning
techniques applied to the narrow and broadband photometry of the S-PLUS survey.
Molina-Jorquera F., Damke G., Fernandez-Olivares D., Jaque-Arancibia M.,
Almeida-Fernandes F., Daflon S., Schoenell W., Ribeiro T., Kanaan A.,
Torres-Flores S., Mendes de Oliveira C.
<Astron. Astrophys. 691, A144 (2024)>
=2024A&A...691A.144M 2024A&A...691A.144M (SIMBAD/NED BibCode)
ADC_Keywords: Stars, giant ; Photometry, infrared ; Optical ;
Abundances, [Fe/H]
Keywords: methods: data analysis - catalogs - stars: abundances -
stars: late-type
Abstract:
The aim of this study is to obtain metallicities of red giant stars
from the Southern Photometric Local Universe Survey (S-PLUS) and to
classify giant and dwarf stars using Artificial Neural Networks
applied to the S-PLUS photometry.
We combined the five broadband and the seven narrowband filters of
S-PLUS 'especially centred on prominent stellar spectral features'
to train Machine Learning algorithms. The training catalogue consists
of the cross-matching between the S-PLUS and Apache Point Observatory
Galactic Evolution Experiment 2 (APOGEE-2) survey catalogues. The
classification neural network uses the colours (J0378-u), (J0395-g),
(J0410-g), (J0515-g), (J0660-r), (g-z), (r-i) as input features,
whereas the network for metallicities uses the (J0378-u), (J0395-g),
(J0410-g), (J0515-g), (J0660-r), (u-g) and (r-z) colours as input
features.
The resulting network is capable of identify ∼99% of the giants in
the test set. The network for determining the photometric
metallicities of giant stars estimates metallicities in the test set a
with a standard deviation of σ_giants ∼0.07dex with respect
to the spectroscopic values. Finally, we used the trained Artificial
Neural Networks to generate a publicly available catalogue of 523426
stars classified as red giant stars from S-PLUS, which we use to
explore metallicity gradients in the Milky Way.
Description:
This catalog presents the metallicities of giant stars determined by
ANN-R4290-2 with deredenned photometry of S-PLUS as input, for stars
classified as giants by ANN-C3324-2 with prob_giant > 0.5.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
catalog.dat 301 51865 Source catalog with derived metallicities
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See also:
III/286 : APOGEE-2 DR17 final allStar catalog (Abdurro'uf+, 2022)
Byte-by-byte Description of file: catalog.dat
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Bytes Format Units Label Explanations
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1- 8 F8.4 deg RAdeg Right Ascension (J2000.0) (1)
10- 17 F8.4 deg DEdeg Declination (J2000.0) (1)
19- 23 F5.3 mag E(B-V)S11 Color excess (2)
25- 30 F6.3 mag umag Dereddened S-PLUS AB u magnitude
32- 36 F5.3 mag e_umag Uncertainty in u magnitude (1)
38- 43 F6.3 mag F378mag Dereddened S-PLUS AB F378 magnitude
45- 49 F5.3 mag e_F378mag Uncertainty in F378 magnitude (1)
51- 56 F6.3 mag F395mag Dereddened S-PLUS AB F395 magnitude
58- 62 F5.3 mag e_F395mag Uncertainty in F395 magnitude (1)
64- 69 F6.3 mag F410mag Dereddened S-PLUS AB F410 magnitude
71- 75 F5.3 mag e_F410mag Uncertainty in F410 magnitude (1)
77- 82 F6.3 mag F430mag Dereddened S-PLUS AB F430 magnitude
84- 88 F5.3 mag e_F430mag Uncertainty in F430 magnitude (1)
90- 95 F6.3 mag gmag Dereddened S-PLUS AB g magnitude
97-101 F5.3 mag e_gmag Uncertainty in g magnitude (1)
103-108 F6.3 mag F515mag Dereddened S-PLUS AB F515 magnitude
110-114 F5.3 mag e_F515mag Uncertainty in F515 magnitude (1)
116-121 F6.3 mag rmag Dereddened S-PLUS AB r magnitude
123-127 F5.3 mag e_rmag Uncertainty in r magnitude (1)
129-134 F6.3 mag F660mag Dereddened S-PLUS AB F660 magnitude
136-140 F5.3 mag e_F660mag Uncertainty in F660 magnitude (1)
142-147 F6.3 mag imag Dereddened S-PLUS AB i magnitude
149-153 F5.3 mag e_imag Uncertainty in i magnitude (1)
155-160 F6.3 mag F861mag Dereddened S-PLUS AB F861 magnitude
162-166 F5.3 mag e_F861mag Uncertainty in F861 magnitude (1)
168-173 F6.3 mag zmag Dereddened S-PLUS AB z magnitude
175-179 F5.3 mag e_zmag Uncertainty in z magnitude (1)
181-186 F6.3 mag F378-u Dereddened colour index in F378-u
188-192 F5.3 mag F395-g Dereddened colour index in F395-g
194-198 F5.3 mag F410-g Dereddened colour index in F410-g
200-204 F5.3 mag F430-g Dereddened colour index in F430-g
206-211 F6.3 mag F515-g Dereddened colour index in F515-g
213-218 F6.3 mag F660-r Dereddened colour index in F660-r
220-225 F6.3 mag F861-z Dereddened colour index in F861-z
227-231 F5.3 mag u-g Dereddened colour index in u-g
233-237 F5.3 mag u-r Dereddened colour index in u-r
239-243 F5.3 mag u-i Dereddened colour index in u-i
245-249 F5.3 mag u-z Dereddened colour index in u-z
251-256 F6.3 mag g-r Dereddened colour index in g-r
258-263 F6.3 mag g-i Dereddened colour index in g-i
265-269 F5.3 mag g-z Dereddened colour index in g-z
271-276 F6.3 mag r-i Dereddened colour index in r-i
278-282 F5.3 mag r-z Dereddened colour index in r-z
284-288 F5.3 mag i-z Dereddened colour index in i-z
290-294 F5.3 --- Pgiant Probability that star is a giant from
Neural Network classifier
296-301 F6.3 [-] [M/H] Value of [M/H] derived by
Neural Network regressor
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Note (1): Value adopted from Mendes de Oliveira et al. (2019MNRAS.489..241M 2019MNRAS.489..241M)
S-PLUS Data Release 3.
Note (2): Color excess value adopted from Schlafly & Finkbeiner
(2011ApJ...737..103S 2011ApJ...737..103S).
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Acknowledgements:
Francisca Molina-Jorquera, francisca.molinaj(at)userena.cl
(End) F. Molina-Jorquera [La Serena univ., Chile], P. Vannier [CDS] 20-Aug-2024