Estimation of distances to stars with stellar parameters from LAMOST

Carlin, Jeffrey L.; Liu, Chao; Newberg, Heidi Jo; Beers, Timothy C.; Chen, Li; Deng, Licai; Guhathakurta, Puragra; Hou, Jinliang; Hou, Yonghui; Lépine, Sébastien; Li, Guangwei; Luo, A-Li; Smith, Martin C.; Wu, Yue; Yang, Ming; Yanny, Brian; Zhang, Haotong; Zheng, Zheng

doi:10.1088/0004-6256/150/1/4

Title: Estimation of distances to stars with stellar parameters from LAMOST

Journal Article · Fri Jun 05 00:00:00 EDT 2015 · The Astronomical Journal (Online)

DOI:https://doi.org/10.1088/0004-6256/150/1/4· OSTI ID:1394824

^[1];

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^[3]; Beers, Timothy C. ^[4]; Chen, Li ^[5]; Deng, Licai ^[2];

^[6]; Hou, Jinliang ^[5]; Hou, Yonghui ^[7]; Lépine, Sébastien ^[8]; Li, Guangwei ^[2]; Luo, A-Li ^[2]; Smith, Martin C. ^[5]; Wu, Yue ^[2]; Yang, Ming ^[2];

^[9];

^[2];

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Rensselaer Polytechnic Inst., Troy, NY (United States). Applied Physics and Astronomy; Earlharm College, Richmond, IN (United States). Dept. of Physics and Astronomy
Chinese Academy of Sciences (CAS), Beijing (China). National Astronomical Observatories
Rensselaer Polytechnic Inst., Troy, NY (United States). Applied Physics and Astronomy
Univ. of Notre Dame, IN (United States). Joint Inst. for Nuclear Astrophysics (JINA)
Shanghai Astronomical Observatory (China)
Univ. of California, Santa Cruz, CA (United States). Dept. of Astronomy and Astrophysics, Lick Observatory
Chinese Academy of Sciences (CAS), Beijing (China). Nanjing Inst. of Astronomical Optics and Technology
Georgia State Univ., Atlanta, GA (United States). Dept. of Physics and Astronomy
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Univ. of Utah, Salt Lake City, UT (United States). Dept. of Physics and Astronomy

Here, we present a method to estimate distances to stars with spectroscopically derived stellar parameters. The technique is a Bayesian approach with likelihood estimated via comparison of measured parameters to a grid of stellar isochrones, and returns a posterior probability density function for each star's absolute magnitude. We tailor this technique specifically to data from the Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST) survey. Because LAMOST obtains roughly 3000 stellar spectra simultaneously within each ~5-degree diameter "plate" that is observed, we can use the stellar parameters of the observed stars to account for the stellar luminosity function and target selection effects. This removes biasing assumptions about the underlying populations, both due to predictions of the luminosity function from stellar evolution modeling, and from Galactic models of stellar populations along each line of sight. Using calibration data of stars with known distances and stellar parameters, we show that our method recovers distances for most stars within ~20%, but with some systematic overestimation of distances to halo giants. We apply our code to the LAMOST database, and show that the current precision of LAMOST stellar parameters permits measurements of distances with ~40% error bars. This precision should improve as the LAMOST data pipelines continue to be refined.

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Research Organization:: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF)

Grant/Contract Number:: AC02-07CH11359; PHY 14-30152; AST 09-37523; AST 14-09421

OSTI ID:: 1394824

Report Number(s):: arXiv:1505.05521; FERMILAB-PUB-15-676-AE; 1622370

Journal Information:: The Astronomical Journal (Online), Vol. 150, Issue 1; ISSN 1538-3881

Publisher:: IOP Publishing - AAASCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 30 works

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