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Hong Wu, Chen Cao , Jianling Wang, Xiaoqing Wen, Yinan Zhu, Haining Li (NAOC)

SDSS Data Mining : What we have done by using SDSS data? ----. Using Matched Catalogues and Images of SDSS and other datasets. Hong Wu, Chen Cao , Jianling Wang, Xiaoqing Wen, Yinan Zhu, Haining Li (NAOC). Outline. GALEX. VLA-FIRST. IRAS. SDSS. Spitzer. Multi-  Images.

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Hong Wu, Chen Cao , Jianling Wang, Xiaoqing Wen, Yinan Zhu, Haining Li (NAOC)

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  1. SDSSData Mining : What we have done by using SDSS data? ---- Using Matched Catalogues and Images of SDSS and other datasets Hong Wu, Chen Cao, Jianling Wang, Xiaoqing Wen, Yinan Zhu, Haining Li (NAOC)

  2. Outline GALEX VLA-FIRST IRAS SDSS Spitzer Multi- Images Catalogues

  3. SDSS vs. 2MASS SDSS & 2MASS Images Optical and Near-Infrared Color Profiles in Nearby Early-type Galaxies and the Implied Age and Metallicity Gradients Wu, Shao et al. 2005, ApJ, 622, 244 * A sample of 36 nearby early-type galaxies, obtained from SDSS-EDR and 2MASS * color gradients of the galaxies + simple stellar population models  age and metallicity gradients of galaxies

  4. SDSS vs. IRAS (1) Catalogues A Catalogue of Luminous Infrared Galaxies in the IRAS and SDSS-DR2 Cao et al. 2006, ChJAA, 6, 197 * Select LIGs based on the cross-correlation between the IRAS Survey (FSC & PSC) and the SDSS-DR2. * Use likelihood ratio method to estimate sample's Reliability and Completeness and for a subsample selection. * Present a Catalogue with both the infrared, photometric & spectroscopic and the radio(VLA-FIRST) parameters. * Some statistical results

  5. SDSS vs. IRAS (2) Catalogues SDSS Images Luminous Infrared Galaxies In the Local Universe Wang et al. 2006, ApJ, 649, 722 Study the Morphology and Star Formation properties of 159 local luminous infrared galaxies (LIGs) using Multi-color images from SDSS-DR2.

  6. SDSS vs. Spitzer (1) Catalogues PAH and Mid-Infrared Luminosities as Measures of Star Formation Rate in Spitzer First Look Survey Galaxies Wu et al. 2005, ApJ, 632, L79 InfraredSFR indicators: 8m dust and 24m luminosities : * Using SDSS crossed with Spitzer-SWIRE data to enhance our results (+UV)! (Zhu et al. in prep.)

  7. SDSS vs. Spitzer (2) Catalogues Study the SEDs of galaxies selected from SDSS vs. Spitzer - FLS Wen et al. 2006, ChJAA, in press * Optical (SDSS) to Infrared (Spitzer) SEDs * Fitted using GRASIL stellar and Dale’s dust model Study the relation between morphologies & structure parameters and infrared properties of galaxies selected from SDSS vs. Spitzer – SWIRELi et al. 2006, in prep. Catalogues SDSS Images

  8. SDSS vs. Spitzer (3) Catalogues The Debris Disk Candidates in SWIRE Fields Wu et al. 2006, in prep. * Study the properties of 24m Infrared excess stars selected from SDSS vs. Spitzer – SWIRE * Selection: Ks - [24]VEGA > 0.44 * Spectroscopic Observation using 2.16m telescope at Xinglong  Spectral Types * Using Debris Disk Radiative Transfer Simulation Tool (DDS) to estimate dust parameters (Mdust)

  9. SDSS vs. Spitzer (4) Multi- Images Multi-Wavelength Study of Bar Structures in NGC 3488 Cao et al. 2006 Multi-wavelength Study of Young Massive Star Clusters in Interacting Galaxy ARP 24 Cao & Wu 2006, in prep. * UV(GALEX), Optical (SDSS),Infrared(Spitzer) SEDs of YSCs in ARP 24

  10. Future SDSS & SDSS II AKARI Spitzer Herschel

  11. Thanks !

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