J/A+A/659/A181 J-PLUS DR1 stellar param, and abundances (Yang+, 2022)
J-PLUS: Stellar parameters, C, N, Mg, Ca and [α/Fe] abundances
for two million stars from DR1.
Yang L., Yuan H., Xiang M., Duan F., Huang Y., Liu J., Beers T.C.,
Galarza C.A., Daflon S., Fernandez-Ontiveros J.A., Cenarro J.,
Cristobal-Hornillos D., Hernandez-Monteagudo C., Lopez-Sanjuan C.,
Marin-Franch, A., Moles M., Varela J., Vazquez Ramio H., Alcaniz J.,
Dupke R., Ederoclite A., Sodre L., Angulo R.E.
<Astron. Astrophys. 659, A181 (2022)>
=2022A&A...659A.181Y 2022A&A...659A.181Y (SIMBAD/NED BibCode)
ADC_Keywords: Surveys ; Milky Way ; Stars, nearby ; Abundances ;
Photometry, SDSS
Keywords: methods: data analysis - stars: abundances -
stars: fundamental parameters - surveys - techniques: photometric
Abstract:
The Javalambre Photometric Local Universe Survey (J-PLUS) has obtained
precise photometry in twelve specially designed filters for large
numbers of Galactic stars. Deriving their precise stellar atmospheric
parameters and individual elemental abundances is crucial for studies
of Galactic structure, and the assembly history and chemical evolution
of our Galaxy.
Our goal is to estimate not only stellar parameters (effective
temperature, Teff, surface gravity, logg, and metallicity, [Fe/H]),
but also [α/Fe] and four elemental abundances ([C/Fe], [N/Fe],
[Mg/Fe], and [Ca/Fe]) using data from J-PLUS DR1.
By combining recalibrated photometric data from J-PLUS DR1, Gaia DR2,
and spectroscopic labels from LAMOST, we design and train a set of
cost-sensitive neural networks, the CSNet, to learn the non-linear
mapping from stellar colors to their labels.
We have achieved precisions of δTeff∼55K, δlogg∼0.15dex,
and δ[Fe/H]∼0.07dex, respectively, over a wide range of
temperature, surface gravity, and metallicity. The uncertainties of
the abundance estimates for [α/Fe] and the four individual
elements are in the range 0.04-0.08 dex. We compare our parameter and
abundance estimates with those from other spectroscopic catalogs such
as APOGEE and GALAH, and find an overall good agreement. Conclusions.
Our results demonstrate the potential of well-designed, high-quality
photometric data for determinations of stellar parameters as well as
individual elemental abundances. Applying the method to J-PLUS DR1, we
have obtained the aforementioned parameters for about two million
stars, providing an outstanding data set for chemo-dynamic analyses of
the Milky Way.
Description:
The stellar parameters (effective temperature, Teff, surface gravity,
log g, and metallicity, [Fe/H]), [α/Fe], and four elemental
abundances ([C/Fe], [N/Fe], [Mg/Fe], and [Ca/Fe]) from J-PLUS DR1 are
estimated by a set of cost-sensitive neural networks (CSNet), as shown
in Fig.2. The dataset used for training and testing CSNet is
constructed by stars in common between J-PLUS DR1 (Cenarro et al.
2019A&A...622A.176C 2019A&A...622A.176C), Gaia DR2 (Gaia Collaboration et al., 2018, Cat.
I/345), and LAMOST DR5 (http://dr5.lamost.org, Cat. V/164, Luo et al.,
2015RAA....15.1095L 2015RAA....15.1095L; Xiang et al. 2019), where the first two data sets
provide input stellar colors and the last one provides stellar labels
(Teff , log g, [Fe/H], [C/Fe], [N/Fe], [Mg/Fe], [Ca/Fe] and
[α/Fe]). The catalog contains 4387568 stars
(MAGABDUALOBJCLASSSTAR≥0.6) by cross-matching J-PLUS DR1 with Gaia
DR2. We recommend stellar label estimates with FLAGS=0 and X_FLAG=0
for about two million stars. Furthermore, only stellar label estimates
located in the same range with the training set (see Table 2) are
considered to be reliable, as we are cautious to extrapolate, a
well-known limitation of ANN-based approaches. To avoid large label
uncertainties caused by photometric errors, particularly for elemental
abundances, labels for stars with magnitude errors in the 12 J-PLUS
filters more than 0.1mag should be used with caution.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
jplusdr1.dat 616 4387568 *JPLUS-DR1 parameters catalog
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Note on jplusdr1.dat: labels for stars with magnitude errors in the 12 J-PLUS
filters more than 0.1mag should be used with caution.
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See also:
I/345 : Gaia DR2 (Gaia Collaboration, 2018)
V/164 : LAMOST DR5 catalogs (Luo+, 2019)
Byte-by-byte Description of file: jplusdr1.dat
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Bytes Format Units Label Explanations
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1- 19 I19 --- JPLUS J-PLUS source id (source_id)
21- 38 F18.14 deg GLON Galactic longitude (gl)
40- 57 F18.14 deg GLAT Galactic latitude (gb)
59- 75 F17.13 deg RAdeg Right ascension (J2000) (ra)
77- 92 F16.13 deg DEdeg Declination (J2000) (dec)
94-105 F12.4 K Teff ?=- Effective temperature (TEFF)
107-118 F12.7 [cm/s2] logg ?=- Surface gravity (LOGG)
120-132 F13.8 --- [Fe/H] ?=- Iron to hydrogen abundance ratio (FE_H)
134-146 F13.8 --- [alpha/Fe] ?=- α-element to iron abundance ratio
(ALPHA_FE)
148-160 F13.8 --- [Ca/Fe] ?=- Calcium to iron abundance ratio (CA_FE)
162-174 F13.8 --- [Mg/Fe] ?=- Magnesium to iron abundance ratio
(MG_FE)
176-188 F13.8 --- [C/Fe] ?=- Carbon to iron abundance ratio (C_FE)
190-202 F13.8 --- [N/Fe] ?=- Nitrogen to iron abundance ratio (N_FE)
204 I1 --- q_Teff [0/1] A quality flag for Teff
(0: reliable) (TEFF_FLAG) (1)
206 I1 --- q_logg [0/1] A quality flag for logg
(0: reliable) (LOGG_FLAG) (1)
208 I1 --- q_[Fe/H] [0/1] A quality flag for [Fe/H]
(0: reliable) (FEHFLAG) (1)
210 I1 --- q_[alpha/Fe] [0/1] A quality flag for [alpha/Fe]
(0: reliable) (ALPHAFEFLAG) (1)
212 I1 --- q_[Ca/Fe] [0/1] A quality flag for [Ca/Fe]
(0: reliable) (CAFEFLAG) (1)
214 I1 --- q_[Mg/Fe] [0/1] A quality flag for [Mg/Fe]
(0: reliable) (MGFEFLAG) (1)
216 I1 --- q_[C/Fe] [0/1] A quality flag for [C/Fe]
(0: reliable) (CFEFLAG) (1)
218 I1 --- q_[N/Fe] [0/1] A quality flag for [N/Fe]
(0: reliable) (NFEFLAG) (1)
220-223 I4 --- f_rSDSS ? A quality flag for rSDSS photometry
(0: reliable) (FLAGS_rSDSS)
225-226 I2 --- f_gSDSS ? A quality flag for gSDSS photometry
(0: reliable) (FLAGS_gSDSS)
228-229 I2 --- f_iSDSS ? A quality flag for iSDSS photometry
(0: reliable) (FLAGS_iSDSS)
231-232 I2 --- f_zSDSS ? A quality flag for zSDSS photometry
(0: reliable) (FLAGS_zSDSS)
234-235 I2 --- f_uJAVA ? A quality flag for uJAVA photometry
(0: reliable) (FLAGS_uJAVA)
237-238 I2 --- f_J0378 ? A quality flag for J0378 photometry
(0: reliable) (FLAGS_J0378)
240-241 I2 --- f_J0395 ? A quality flag for J0395 photometry
(0: reliable) (FLAGS_J0395)
243-244 I2 --- f_J0410 ? A quality flag for J0410 photometry
(0: reliable) (FLAGS_J0410)
246-247 I2 --- f_J0430 ? A quality flag for J0430 photometry
(0: reliable) (FLAGS_J0430)
249-250 I2 --- f_J0515 ? A quality flag for J0515 photometry
(0: reliable) (FLAGS_J0515)
252-253 I2 --- f_J0660 ? A quality flag for J0660 photometry
(0: reliable) (FLAGS_J0660)
255-256 I2 --- f_J0861 ? A quality flag for J0861 photometry
(0: reliable) (FLAGS_J0861)
258-266 F9.6 mag rSDSS rSDSS photometry (MAGAPER6rSDSS)
268-276 F9.6 mag gSDSS gSDSS photometry (MAGAPER6gSDSS)
278-286 F9.6 mag iSDSS iSDSS photometry (MAGAPER6iSDSS)
288-296 F9.6 mag zSDSS zSDSS photometry (MAGAPER6zSDSS)
298-307 F10.6 mag uJAVA uJAVA photometry (MAGAPER6uJAVA)
309-318 F10.6 mag J0378 J0378 photometry (MAGAPER6J0378)
320-329 F10.6 mag J0395 J0395 photometry (MAGAPER6J0395)
331-340 F10.6 mag J0410 J0410 photometry (MAGAPER6J0410)
342-351 F10.6 mag J0430 J0430 photometry (MAGAPER6J0430)
353-361 F9.6 mag J0515 J0515 photometry (MAGAPER6J0515)
363-371 F9.6 mag J0660 J0660 photometry (MAGAPER6J0660)
373-381 F9.6 mag J0861 J0861 photometry (MAGAPER6J0861)
383-393 F11.6 mag e_rSDSS ?=99 Uncertainty in rSDSS photometry
(ERRAPER6rSDSS)
395-406 F12.6 mag e_gSDSS ?=99 Uncertainty in gSDSS photometry
(ERRAPER6gSDSS)
408-418 F11.6 mag e_iSDSS ?=99 Uncertainty in iSDSS photometry
(ERRAPER6iSDSS)
420-431 F12.6 mag e_zSDSS ?=99 Uncertainty in zSDSS photometry
(ERRAPER6zSDSS)
433-444 F12.6 mag e_uJAVA ?=99 Uncertainty in uJAVA photometry
(ERRAPER6uJAVA)
446-457 F12.6 mag e_J0378 ?=99 Uncertainty in J0378 photometry
(ERRAPER6J0378)
459-470 F12.6 mag e_J0395 ?=99 Uncertainty in J0395 photometry
(ERRAPER6J0395)
472-483 F12.6 mag e_J0410 ?=99 Uncertainty in J0410 photometry
(ERRAPER6J0410)
485-496 F12.6 mag e_J0430 ?=99 Uncertainty in J0430 photometry
(ERRAPER6J0430)
498-509 F12.6 mag e_J0515 ?=99 Uncertainty in J0515 photometry
(ERRAPER6J0515)
511-522 F12.6 mag e_J0660 ?=99 Uncertainty in J0660 photometry
(ERRAPER6J0660)
524-535 F12.6 mag e_J0861 ?=99 Uncertainty in J0861 photometry
(ERRAPER6J0861)
537-545 F9.6 mag BPmag ?=- BP-band photometric magnitude from
Gaia DR2 (PHOTBPMEAN_MAG)
547-555 F9.6 mag RPmag ?=- RP-band photometric magnitude from
Gaia DR2 (PHOTRPMEAN_MAG)
557-565 F9.6 mag Gmag ?=- G-band photometric magnitude from
Gaia DR2 (PHOTGMEAN_MAG)
567-578 E12.6 e-/s FBP ?=- BP-band photometric flux from Gaia DR2
(PHOTBPMEAN_FLUX)
580-591 E12.6 e-/s FRP ?=- RP-band photometric flux from Gaia DR2
(PHOTRPMEAN_FLUX)
593-604 E12.6 e-/s FG G-band photometric flux from Gaia DR2
(PHOTGMEAN_FLUX)
606-616 F11.9 mag E(B-V) Interstellar extinction from the Schlegel et
al. (1998ApJ...500..525S 1998ApJ...500..525S) dust-reddening
map (EBV)
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Note (1): Quality flag as follows:
0 = (reliable) means that the object's BP-RP color is within the
effective BP-RP range, the same with the training set
1 = otherwise
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Acknowledgements:
Lin Yang, ylin(at)mail.bnu.edu.cn
(End) Patricia Vannier [CDS] 10-Mar-2022