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Spectral Energy Distributions of 2XMM-selected AGN & VO-tools

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

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Spectral Energy Distributions of 2XMM-selected AGN & VO-tools

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

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

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

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

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

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

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

  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) QSOs (~900) AGN type II (~100)

  11. 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) Galaxies (~1300)

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

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

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

  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. Motivation • 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.

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

  19. Feasibility EURO-VO proposal: • 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

  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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