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Spectral Analysis Pipeline for LAMOST Project

Spectral Analysis Pipeline for LAMOST Project. A-Li Luo LAMOST Science Division NAOC, CAS. Content. Brief Introduction about LAMOST Project Science goal of the LAMOST Survey The tasks of the Spectral Analysis The feature of LAMOST spectra The software system Some analysis algorithms

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Spectral Analysis Pipeline for LAMOST Project

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  1. Spectral Analysis Pipeline for LAMOST Project A-Li Luo LAMOST Science Division NAOC, CAS

  2. Content • Brief Introduction about LAMOST Project • Science goal of the LAMOST Survey • The tasks of the Spectral Analysis • The feature of LAMOST spectra • The software system • Some analysis algorithms • Integrating the pipeline to VO ???

  3. Brief Introduction about LAMOST Project • Aperture: 4m • Focal length : 20m • Field of view:5 degree • Focal plane:1.75m • Number of fiber:4000 • Spectra of objects as faint as 20m.5 with an exposure of 1.5 hour • Range:370nm-900nm • Resolution: R=1000 • & 2000 Focal Plane MB Spherical Primary Mirror MA Reflecting Schmidt Corrector A meridian reflecting Schmidt telescope

  4. Science goal of LAMOST • Contribute to the study of extra-galactic astrophysics and cosmology, such as galaxies, quasars and the large-scale structure of the universe. • Contribute to the study of stellar astrophysics and the Galaxy. • Contribute to the cross-identification of multi-waveband of celestial objects.

  5. Automated Identification Parameters of spectral lines LAMOST DATA ARCHIVE Automated Measurement Redshifts Automated Classification Classes The tasks of the 1-d Spectral Analysis

  6. The Feature of LAMOST Spectra • Large amount 10,000,000 galaxies; 1,000,000 QSO • Low S/N (especially at blue end) 20.m5 ~ S/N < 10 • Difficult to separate point objects from extended sources through PSF (too faint) • No standard star in each field • Redshifts affecting the classification

  7. The Software System Classification Measurement Pre- processing Data Mining & Knowledge discovery Processing layer Knowledge Classified dataset Raw dataset Normalized dataset Data layer Rare object dataset

  8. Some Analysis Algorithms • Wavelet • PCA, PCAZ • ANN(SOFM, PNN, RBF) • Hough • HMM, EM • SVM

  9. How to Integrate LAMOST Spectra Analysis Pipeline to VO We need • Your advice • Your experience • Your technique support Thanks!!!

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