Hong wu chen cao jianling wang xiaoqing wen yinan zhu haining li naoc
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Hong Wu, Chen Cao , Jianling Wang, Xiaoqing Wen, Yinan Zhu, Haining Li (NAOC) PowerPoint PPT Presentation


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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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Hong wu chen cao jianling wang xiaoqing wen yinan zhu haining li naoc

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)


Outline

Outline

GALEX

VLA-FIRST

IRAS

SDSS

Spitzer

Multi-

Images

Catalogues


Sdss vs 2mass

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


Sdss vs iras 1

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


Sdss vs iras 2

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.


Sdss vs spitzer 1

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.)


Sdss vs spitzer 2

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


Sdss vs spitzer 3

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)


Sdss vs spitzer 4

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


Future

Future

SDSS &

SDSS II

AKARI

Spitzer

Herschel


Thanks

Thanks !


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