Spectral Analysis Pipeline for LAMOST Project - PowerPoint PPT Presentation

1 / 9
About This Presentation
Title:

Spectral Analysis Pipeline for LAMOST Project

Description:

... astrophysics and cosmology, such as galaxies, quasars and the large-scale ... Contribute to the study of stellar astrophysics and the Galaxy. ... – PowerPoint PPT presentation

Number of Views:40
Avg rating:3.0/5.0
Slides: 10
Provided by: Luo83
Category:

less

Transcript and Presenter's Notes

Title: Spectral Analysis Pipeline for LAMOST Project


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 view5 degree
  • Focal plane1.75m
  • Number of fiber4000
  • Spectra of objects as faint as 20m.5 with an
    exposure of 1.5 hour
  • Range370nm-900nm
  • Resolution R1000
  • 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
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 lt 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
Normalized dataset
Raw dataset
Rare object dataset
Data layer
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!!!
Write a Comment
User Comments (0)
About PowerShow.com