Paper
24 September 2012 Comparison of different interpolation algorithm in feature-based template matching for stellar parameters analysis
Bing Du, Ali Luo, JianNan Zhang, Yue Wu, FengFei Wang
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Abstract
Referring to SDSS/SEGUE pipeline for stellar parameters SSPP and other pipelines, two methods, ULySS9,10 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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bing Du, Ali Luo, JianNan Zhang, Yue Wu, and FengFei Wang "Comparison of different interpolation algorithm in feature-based template matching for stellar parameters analysis", Proc. SPIE 8451, Software and Cyberinfrastructure for Astronomy II, 845137 (24 September 2012); https://doi.org/10.1117/12.925970
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Cited by 10 scholarly publications.
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KEYWORDS
Stars

Signal to noise ratio

Astronomy

Spectroscopy

Calibration

Error analysis

Astronomical imaging

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