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Spectral Energy Distributions of 2XMM-selected AGN & VO-tools Rodrigo Gil-Merino Instituto de Física de Cantabria (CSIC-UC) Santander, Spain MAVO workshop,

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Presentation on theme: "Spectral Energy Distributions of 2XMM-selected AGN & VO-tools Rodrigo Gil-Merino Instituto de Física de Cantabria (CSIC-UC) Santander, Spain MAVO workshop,"— Presentation transcript:

1 Spectral Energy Distributions of 2XMM-selected AGN & VO-tools Rodrigo Gil-Merino Instituto de Física de Cantabria (CSIC-UC) Santander, Spain MAVO workshop, ESAC Madrid, Dec. 2008 EURO-VO AIDA supported project

2 Background: –Preliminary classification from 2XMM selected objects –Extragalactic data base (NED) and the 2XMM catalogue Motivation: –Obtain all available photometry for selected objects –Build the SEDs from this photometry –Multi-wavelength properties of the sample Feasibility: –Existing tools related to this proposal –Massive queries through VO-compliant catalogues –Automatic classification of data

3 Background The 2XMM catalogue: largest X-ray objects collection: Serendipitous X-ray sources from observations taken between February 2000 and March 2007. Includes ~191000 unique sources, from ~247000 detections, most being AGN. Covers ~1% of the total sky. NASA Extragalactic Database: largest extragalactic database

4 Catalogues cross match (no VO): ~4700 objects with z +other catalogues ~191.000 objects 2XMM

5 types I & II: 1700 candidates: 500 AGN Objects, according to NED (no VO) Galaxies: ~1800 Others starbursts: 32 liners: 33 XBONGs: 9 problems with AGN clasification very heterogeneus data

6 Secure subsample with VO-tools! AGN type I: ~300 QSOs: ~900 Galaxies: ~1800 AGN type II: ~100 Veron-Cetty & Veron VO explorer: AGN catalogue? QSO: M B < -23 from NED AGN sample and Veron-Cetty & Veron still from NED AGN I : M B > -23 broad lines AGN II: M B > -23 narrow lines Topcat

7 Redshift distributions: galaxies (~1800) QSOs (~900) AGN type I (~300) AGN type II (~100)

8 Lx vs. redshift: AGN blue:QSOs (~900) red:AGN type I (~300) green:AGN type II (~100)

9 Lx vs. redshift: galaxies AGNs… red: galaxies blue: VisS (gal) ~1400 with Lx>1e42 erg/s ~ 400 with Lx<1e42 erg/s

10 HS distributions: AGN I & II HS=(H-S)/(H+S) H: hard (2-12 keV) S: soft (0.5-2 keV) (EPIC-PN only) AGN type I (~300) AGN type II (~100) QSOs (~900)

11 Galaxies (~1300) HS distributions: galaxies vs. AGN HS=(H-S)/(H+S) H: hard (2-12 keV) S: soft (0.5-2 keV) (EPIC-PN only) all AGNs (~1300)

12 NH vs. Lx (2-10keV) : AGNs log (L X ) log (NH)

13 NH vs. Lx (2-10keV) : galaxies

14 HS vs. log(fx/fopt): AGNs QSOs AGN types I & II increasing absorption increasing X-loudness

15 HS vs. log(fx/fopt): galaxies galaxies, Lx>1e42 erg/s galaxies, Lx<1e42 erg/s

16 Conclusions (so far): 2XMM catalogue useful to re-classify many extragalactic sources ~1300 galaxies show indications of being AGNs, mainly type I Results in a sample of ~3000 X-ray selected AGN VO-tools: “secure sample” & analysis

17 AGN are multi-wavelength emitters and we need multi-band photometry to well understand them. General emission and absorption mechanisms are well accepted, but not their relative importance This is crucial to establish the general features of each class of AGN and the validity of the general unified scheme. Motivation

18 Spectral Energy Distributions: (Elvis et al. 1994 ApJ 95)

19 Feasibility Build the SEDs of ~3000 AGN (restframe) Analyse them and compute the “mean” SEDs in luminosity, redshift and by types Study most extreme cases of outliers in the SEDs sample Use SEDs to re-classify the sample when possible EURO-VO proposal:

20 Requirements from VO-tools: VOSED: –for each query, can we obtain just one file for the whole SED? –can we add catalogues?.... We couldn´t find all (XMM, APM..) –can we apply any quality criteria? VO-Spec: –can we load any SED as a spectrum? (It works from VOSED) –we need to do statistics on large number of spectra, can we? WE NEED a batch system to be able to launch multi- position/object queries (out sample contains ~3000 objects, no way one by one)

21 Acknowledgements EURO-VO AIDA framework: is an excellent opportunity to present a science case with special VO-tools needs. VO people is working really hard to make this possible, doing an excellent job for us. THANKS !!


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