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The KIAA-Cambridge Joint Workshop on Near-Field Cosmology and Galactic Archeology. The LAMOST 1d Spectroscopic Pipeline. A-Li LUO LAMOST team, NAOC 2008/12/3. Lessons from SDSS. Three 1d pipelines of SDSS ( template based ) Princeton 1d; Fermi 1d; SEGUE: SSPP
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The KIAA-Cambridge Joint Workshop on Near-Field Cosmology and Galactic Archeology The LAMOST 1d Spectroscopic Pipeline A-Li LUO LAMOST team, NAOC 2008/12/3
Lessons from SDSS • Three 1d pipelines of SDSS (template based ) Princeton 1d; Fermi 1d; SEGUE: SSPP • Have been improving from DR1->DR7
Task of 1D pipeline • Classification and Identification • Measurement (z of galaxies and QSOs, rv of stars) • Stellar parameter estimation • Special Candidate searching (Supernovae, Metal-poor stars, HII …) – according to requirements of astronomers
Measurement Modular Classification Modular Preprocessing Modular File Management System CCD Raw Data Image processing & Spectra extraction ODBC/JDBC Interface QL DBMS Database Management Interface Storage &distribution Software Structure
Production 1. Catalogs 2. Calibrated spectra with analysis results AGN Galaxies Stars QSOs Starburst Supernovae Search Galaxies (z) Normal galaxies Emission Line stars Stars (rv) H II Identification O B Stars QSOs (z) A F G K Stars Stellar-Atmospheric- Parameters Input Catalog M or later Stars Unknown Reflection Nebulae Multi-Wavelength Identification Results: Candidate Catalogue Basic Production Reference classification
Comparison between object type and spectral class in SDSS DR5 -- object type -- spectral class
Classification algorithm • Automated Classification by objective methods (training by templates, predicting by distance or density ), collaborators: IA(CAS), BNU,SDU, etc. • Identified by line measurement
Extracted Spectra Yes Absorption lines of NaI, Mgb and CaII etc Absorption lines at 6563±20A, 4860±20A, 4340±20A ? Emission line at 6563±20A, 4860±20A, 4340±20A ? Absorption band detection Lines detection Late type stars (M type) with bands (TiO etc) No No Continuum fitting Starburst AGN or QSO etc. No Yes No line spectra Yes Low S/N low? Redshift measurement Continuum High or low ? Emission Line Spectra ? Yes No High H II Region No BL LAC or high Z galaxies O_III 5007, H_alpha H_beta NII 6583 measurement No Star forming galaxies Star burst galaxies QSO & Seyfert I He II lines Yes No No Yes Yes Normal galaxies O or early B type star A,F,G, early K star or Reflection Nebular Early type emission line star + CSM Late type emission line star + CSM Seyfert II LINER Identification automatically
STELLAR ANALYSIS PIPELINE A, F,G, K type stellar spectra Continuum Rectification Sub-grid model spectra Teff~100K, logg~0.25dex [Fe/H]~0.25dex Best fit rough spectra Rough model spectra grid Teff~500K, logg~1.0dex, [Fe/H]~1.0 dex Cross-correlation Vrad geo Cross-correlation Vrad geo Correction Best fit spectra Line index definition H_delta, H_zeta, , CaII triplet, H&K, G band ±10-20 km/s Optimization of different methods [Fe/H] [C/Fe] Teff logg Line Index Measure Line index & Color index calibration (ANN, Polynomial) Color index from Input Catalog BAD GOOD Health Check? Absolute Magnitude trash bin Visual Magnitude High Resolution Spectra for example. HERES: 372 stars (VLT/UVES) R=20000 S/N=50 distance
Line Indices • To determine the local continuum level • Width selection
Some lines used in the pipeline • CaII K line (3933A) • Balmer lines • CaII triplet • Mg I b • G band and [C/Fe] • Colors
CaII K ~ [Fe/H] Relationship between [Fe/H] and CaII K in 4500K,5000K,5500K,6000K,6500K,7000K and 7500K respectively (Marcs model synthetic spectra). Lines (left) and 2 order polynomial (right) are used to fit the relationships from low to high temperature. Relationships between [Fe/H] and the strength of CaII K in SDSS/SEGUE (Dr6).
[Fe/H]=-2.0 [Fe/H]=-3.0 [Fe/H]=0 [Fe/H]=-1.0 Balmer lines ~ Teff Three Balmer lines in Kurucz model spectra Hγ (434.0 nm) Hδ (410.2 nm) Hζ (388.9 nm) [Fe/H]=-3.0 [Fe/H]=-2.0 [Fe/H]=-3.0 [Fe/H]=-2.0 [Fe/H]=0 [Fe/H]=0 [Fe/H]=-1.0 [Fe/H]=-1.0 • Hδ and Hζ in CFLIB spectra are obvious correlated with Teff. • Since the resolution of 1 Å FWHM of CFLIB and low S/N in the range around Hζfor half of the CFLIB dataset, Hζ line in 3889 Å is difficult to measure. • Fitting Teff ~ Hδ: • Teff = 4572.813 + 546.716×Hδ − 53.773×Hδ2 • error:100-200K
CaII triplet Fitting of relationship between CaII triplet and Teff, [Fe/H], and logg respectively, CFLIB spectra were used as experimental dataset Relationship between CaII triplet and [Fe/H], EW of all Ca II triplet of SDSS/SEGUE spectra are plotted in left panel, and [Fe/H] varies with CaII triplet when T = 5000K, logg = 2.0 in right panel.
MgI b ~ gravity (left) SDSS data, (right) ELODIE data.
G band ~ [C/Fe] Relationship between G band and [C/Fe] with HES follow up spectra
Color ~ Teff Temperature varies with B-V Color in CFLIB dataset For SDSS, in the range -0.3 < g-r <1.0, the following expression provides the effective temperature with an rms only 2% (100-200K) (Ivezić et al 2006)
Structure of the stellar analysis pipeline Independent compiled module +script Already completed module list: Kurucz model calculation Continuum fitting (whole range) ANN Module Regression module Spectra synthesize Continuum fitting (local range) Interpolation module Cross correlation Line index calculation EW calculation module
Kurucz model calculation • Atlas9 Kurucz/Castelli • LTE • NewODF • Intermod: an interpolation program to quickly generate intermediate models from an initial grid • Synthe • Spectrum Gray Spectra Synthesize
Accuracy of the parameters • Checked with SEGUE dr6 data