spectral energy distributions of 2xmm selected agn vo tools
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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. 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

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

slide2

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
slide3

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

catalogues cross match no vo

2XMM

~191.000 objects

+other catalogues

~4700 objects with z

Catalogues cross match (no VO):
objects according to ned no vo
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

slide6

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

redshift distributions
Redshift distributions:

AGN type I (~300)

QSOs (~900)

AGN type II (~100)

galaxies (~1800)

lx vs redshift agn
Lx vs. redshift: AGN

blue: QSOs (~900)

red: AGN type I (~300)

green: AGN type II (~100)

lx vs redshift galaxies

AGNs…

red: galaxies

blue: VisS (gal)

~1400 with Lx>1e42 erg/s

~ 400 with Lx<1e42 erg/s

Lx vs. redshift: galaxies
hs distributions agn i ii
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)

hs distributions galaxies vs agn
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)

hs vs log fx fopt agns
HS vs. log(fx/fopt): AGNs

QSOs

AGN types I & II

increasing

X-loudness

increasing absorption

hs vs log fx fopt galaxies
HS vs. log(fx/fopt): galaxies

galaxies, Lx>1e42 erg/s

galaxies, Lx<1e42 erg/s

slide16

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
slide17

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.
slide18

Spectral Energy Distributions:

(Elvis et al. 1994 ApJ 95)

slide19

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
slide20

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)
slide21

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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