|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'501'711
Articles rated: 2609
19 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Asteroseismic based estimation of the surface gravity for the LAMOST giant stars | | Chao Liu
; Min Fang
; Yue Wu
; Li-Cai Deng
; Liang Wang
; Wei Wang
; Jian-Ning Fu
; Yong-Hui Hou
; Guang-Wei Li
; Yong Zhang
; | | Date: |
2 Nov 2014 | | Abstract: | Asteroseismology is one of the most accurate approaches to estimate the
surface gravity of a star. However, most of the data from the current
spectroscopic surveys do not have asteroseismic measurements, which is very
expensive and time consuming. In order to improve the spectroscopic surface
gravity estimates for a large amount of survey data with the help of the small
subset of the data with seismic measurements, we set up a support vector
regression model for the estimation of the surface gravity supervised by more
than 3000 LAMOST giant stars with Kepler measured seismic surface gravity. The
new approach can reduce the uncertainty of the estimates down to about 0.1 dex,
which is better than other non-seismic methods by at least a factor of 2, for
the spectra with signal-to-noise ratio higher than 20. Compared with the logg
estimated from the LAMOST pipeline, not only the systematic overestimation for
the RGB stars has been corrected, but also the artificial effect around the red
clump stars disappears. Moreover, even the red bump stars, which extend to only
about 0.1dex in logg, can be discriminated from the new estimated surface
gravity. The method is then applied to about 380,000 LAMOST metal-rich giant
stars to provide improved surface gravity estimates. In general, it can be
applied to any other spectroscopic survey data with proper cross-calibration to
the LAMOST. | | Source: | arXiv, 1411.0235 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER