Comparison of Different Interpolation Algorithm in Feature-based Template Matching for Stellar Parameters Analysis

被引：13

作者：

BingDu ^{[1
]}

Luo, ALi ^{[1
]}

Zhang, JianNan ^{[1
]}

YueWu ^{[1
]}

Wang, FengFei ^{[1
]}

机构：

[1] Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China

来源：

SOFTWARE AND CYBERINFRASTRUCTURE FOR ASTRONOMY II | 2012年 / 8451卷

关键词：

Stellar parameters; CFI; effective temperature; surface gravity; metallicity; INFRARED CAII TRIPLET; EMPIRICAL CALIBRATION; SPECTROSCOPY; LIBRARY; STARS;

D O I：

10.1117/12.925970

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Referring to SDSS/SEGUE pipeline for stellar parameters SSPP and other pipelines, two methods, ULySS(9,10) and CFI (correlation function interpolation) are investigated to estimate stellar parameters (effective temperature, surface gravity, and metallicity) for AFGK stars based on medium-resolution spectroscopy. Both of the two methods carry with an interpolator, ULySS provides with an interpolator of the template library consisting of polynomial expansions of each wavelength element in powers of stellar parameters while CFI interpolates the maximal correlation coefficent as functions of stellar parameters. Comparing with known objects observed by the Sloan Digital Sky Survey (SDSS), their performances are tested, random and systematic errors are examined. By comparing CFI with ULySS, performances of different interpolations are tested. These two methods will be integrated into LAMOST stellar parameter pipeline (LASP) and used for the data release of the LAMOST pilot survey.

引用

页数：9

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