English

The Stellar Abundances and Galactic Evolution Survey (SAGES) -- -- I. General Description and the First Data Release (DR1)

Astrophysics of Galaxies 2023-06-30 v2 Solar and Stellar Astrophysics

Abstract

The Stellar Abundances and Galactic Evolution Survey (SAGES) of the northern sky is a specifically-designed multi-band photometric survey aiming to provide reliable stellar parameters with accuracy comparable to those from low-resolution optical spectra. It was carried out with the 2.3-m Bok telescope of Steward Observatory and three other telescopes. The observations in the usu_s and vsv_s passband produced over 36,092 frames of images in total, covering a sky area of 9960\sim9960 degree2^2. The median survey completeness of all observing fields for the two bands are of us=20.4u_{\rm s}=20.4 mag and vs=20.3v_s=20.3 mag, respectively, while the limiting magnitudes with signal-to-noise ratio (S/N) of 100 are us17u_s\sim17 mag and vs18v_s\sim18 mag, correspondingly. We combined our catalog with the data release 1 (DR1) of the first of Panoramic Survey Telescope And Rapid Response System (Pan-STARRS1, PS1) catalog, and obtained a total of 48,553,987 sources which have at least one photometric measurement in each of the SAGES usu_s and vsv_s and PS1 grizygrizy passbands, which is the DR1 of SAGES and it will be released in our paper. We compare our grigri point-source photometry with those of PS1 and found an RMS scatter of 2\sim2% in difference of PS1 and SAGES for the same band. We estimated an internal photometric precision of SAGES to be on the order of 1\sim1%. Astrometric precision is better than 0.20^{\prime\prime}.2 based on comparison with the DR1 of Gaia mission. In this paper, we also describe the final end-user database, and provide some science applications.

Keywords

Cite

@article{arxiv.2306.15611,
  title  = {The Stellar Abundances and Galactic Evolution Survey (SAGES) -- -- I. General Description and the First Data Release (DR1)},
  author = {Zhou Fan and Gang Zhao and Wei Wang and Jie Zheng and Jingkun Zhao and Chun Li and Yuqin Chen and Haibo Yuan and Haining Li and Kefeng Tan and Yihan Song and Fang Zuo and Yang Huang and Ali Luo and Ali Esamdin and Lu Ma and Bin Li and Nan Song and Frank Grupp and Haibin Zhao and Shuhrat A. Ehgamberdiev and Otabek A. Burkhonov and Guojie Feng and Chunhai Bai and Xuan Zhang and Hubiao Niu and Alisher S. Khodjaev and Bakhodir M. Khafizov and Ildar M. Asfandiyarov and Asadulla M. Shaymanov and Rivkat G. Karimov and Qudratillo Yuldashev and Hao Lu and Getu Zhaori and Renquan Hong and Longfei Hu and Yujuan Liu and Zhijian Xu},
  journal= {arXiv preprint arXiv:2306.15611},
  year   = {2023}
}

Comments

49 pages, 21 figures, 5 table, accepted for publication in ApJS