Stellar labels for hot stars from low-resolution spectra I. The HOTPAYNE method and results for 330 000 stars from LAMOST DR6

被引:63
|
作者
Xiang, Maosheng [1 ]
Rix, Hans-Walter [1 ]
Ting, Yuan-Sen [2 ,3 ,4 ,5 ]
Kudritzki, Rolf-Peter [6 ,7 ]
Conroy, Charlie [8 ]
Zari, Eleonora [1 ]
Shi, Jian-Rong [9 ,10 ]
Przybilla, Norbert [11 ]
Ramirez-Tannus, Maria [1 ]
Tkachenko, Andrew [12 ]
Gebruers, Sarah [12 ]
Liu, Xiao-Wei [13 ]
机构
[1] Max Planck Inst Astron, Konigstuhl 17, D-69117 Heidelberg, Germany
[2] Inst Adv Study, Princeton, NJ 08540 USA
[3] Princeton Univ, Dept Astrophys Sci, Princeton, NJ 08544 USA
[4] Observ Carnegie Inst Washington, 813 Santa Barbara St, Pasadena, CA 91101 USA
[5] Australian Natl Univ, Res Sch Astron & Astrophys, Canberra, ACT 2611, Australia
[6] LMU Milnchen, Scheinerstr 1, D-81679 Munich, Germany
[7] Univ Hawaii Manoa, Inst Astron, 2680 Woodlawn Dr, Honolulu, HI 96822 USA
[8] Harvard & Smithsonian, Ctr Astrophys, Cambridge, MA 02138 USA
[9] Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
[10] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[11] Univ Innsbruck, Inst Astro & Teilchenphys, Technikerstr 25, A-6020 Innsbruck, Austria
[12] Katholieke Univ Leuven, Inst Astron, Celestijnenlaan 200D, B-3001 Leuven, Belgium
[13] Yunnan Univ, South Western Inst Astron Res, Kunming 650500, Yunnan, Peoples R China
基金
美国国家航空航天局; 美国国家科学基金会;
关键词
techniques: spectroscopic; surveys; catalogs; stars: massive; stars: fundamental parameters; stars: abundances; HORIZONTAL-BRANCH STARS; LTE MODEL ATMOSPHERES; METALLICITY DISTRIBUTION FUNCTION; DIGITAL SKY SURVEY; SUBDWARF-B-STARS; ROTATIONAL VELOCITIES; GALACTIC HALO; DATA RELEASE; CHEMICALLY PECULIAR; QUANTITATIVE SPECTROSCOPY;
D O I
10.1051/0004-6361/202141570
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We set out to determine stellar labels from low-resolution survey spectra of hot stars, specifically OBA stars with T-eff greater than or similar to 7500 K. This fills a gap in the scientific analysis of large spectroscopic stellar surveys such as LAMOST, which offers spectra for millions of stars at R similar to 1800 and covers 3800 angstrom <= lambda <= 9000 angstrom. We first explore the theoretical information content of such spectra to determine stellar labels via the Cramer-Rao bound. We show that in the limit of perfect model spectra and observed spectra with signal-to-noise ratio similar to 50-100, precise estimates are possible for a wide range of stellar labels: not only the effective temperature, T-eff, surface gravity, log g, and projected rotation velocity, vsin i, but also the micro-turbulence velocity, v(mic), helium abundance, N-He/N-tot, and the elemental abundances [C/H], [N/H], [O/H], [Si/H], [S/H], and [Fe/H]. Our analysis illustrates that the temperature regime of T-eff similar to 9500 K is challenging as the dominant Balmer and Paschen line strengths vary little with T-eff. We implement the simultaneous fitting of these 11 stellar labels to LAMOST hot-star spectra using the PAYNE approach, drawing on Kurucz's ATLAS12/SYNTHE local thermodynamic equilibrium spectra as the underlying models. We then obtain stellar parameter estimates for a sample of about 330 000 hot stars with LAMOST spectra, an increase by about two orders of magnitude in sample size. Among them, about 260 000 have good Gaia parallaxes (omega/sigma(omega) > 5), and their luminosities imply that greater than or similar to 95% of them are luminous stars, mostly on the main sequence; the rest are evolved lower luminosity stars, such as hot subdwarfs and white dwarfs. We show that the fidelity of the results, particularly for the abundance estimates, is limited by the systematics of the underlying models as they do not account for nonlocal thermodynamic equilibrium effects. Finally, we show the detailed distribution of vsin i of stars with 8000-15 000 K, illustrating that it extends to a sharp cutoff at the critical rotation velocity, v(crit), across a wide range of temperatures.
引用
收藏
页数:30
相关论文
共 50 条
  • [21] Analysis of the X-ray emission from OB stars Ⅲ: low-resolution spectra of OB stars
    Elizaveta Ryspaeva
    Alexander Kholtygin
    ResearchinAstronomyandAstrophysics, 2020, 20 (07) : 163 - 173
  • [22] Spectroscopic Study of Late-type Emission-line Stars Using the Data from LAMOST DR6
    DEdwin
    Blesson Mathew
    BShridharan
    Vineeth Valsan
    SNidhi
    Suman Bhattacharyya
    Sreeja SKartha
    TRobin
    Research in Astronomy and Astrophysics, 2024, 24 (12) : 140 - 157
  • [23] Spectroscopic Study of Late-type Emission-line Stars Using the Data from LAMOST DR6
    Edwin, D.
    Mathew, Blesson
    Shridharan, B.
    Valsan, Vineeth
    Nidhi, S.
    Bhattacharyya, Suman
    Kartha, Sreeja S.
    Robin, T.
    RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2024, 24 (12)
  • [24] Newly identified infrared carbon stars from the IRAS low-resolution spectra
    Chen, PS
    Chen, WP
    ASTRONOMICAL JOURNAL, 2003, 125 (04): : 2215 - 2226
  • [25] Newly identified silicate carbon stars from IRAS low-resolution spectra
    Chen, Pei-Sheng
    Zhang, Pin
    CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS, 2006, 6 (06): : 697 - 704
  • [26] Newly Identified Silicate Carbon Stars from IRAS Low-Resolution Spectra
    Pei-Sheng Chen and Pin Zhang National Astronomical Observatories / Yunnan Observatory
    Cosmic Ray Institute
    ChineseJournalofAstronomyandAstrophysics, 2006, (06) : 697 - 704
  • [27] Analysis of the X-ray emission from OB stars III: low-resolution spectra of OB stars
    Ryspaeva, Elizaveta
    Kholtygin, Alexander
    RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2020, 20 (07)
  • [28] Estimation of Stellar Atmospheric Parameters from LAMOST DR8 Low-resolution Spectra with 20 ≤ S/N &lt; 30
    Li, Xiangru
    Wang, Zhu
    Zeng, Si
    Liao, Caixiu
    Du, Bing
    Kong, Xiao
    Li, Haining
    RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2022, 22 (06)
  • [29] STELLAR ATMOSPHERIC PARAMETERS FOR F-G-K STARS FROM LOW-RESOLUTION DATA - METHOD AND APPLICATION TO A SAMPLE OF PROPER MOTION STARS
    CUISINIER, F
    BUSER, R
    ACKER, A
    CAYREL, R
    JASNIEWICZ, G
    FRESNEAU, A
    ASTRONOMY & ASTROPHYSICS, 1994, 285 (03) : 943 - 952
  • [30] Searching for Hot Subdwarf Stars from the LAMOST Spectra. III. Classification of Hot Subdwarf Stars in the Fourth Data Release of LAMOST Using a Deep Learning Method
    Bu, Yude
    Zeng, Jingjing
    Lei, Zhenxin
    Yi, Zhenping
    ASTROPHYSICAL JOURNAL, 2019, 886 (02):