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Extragalactic Scenario for AVO Demo 2004



Workflow

Step by step instructions of extragalactic demo

Obscured Quasars

Science Drivers

The unified model for active galactic nuclei (AGN) is widely accepted. The physics of black hole, accretion disk, jet, and obscuring torus is convolved with the geometry of the viewing angle and can explain most of the apparent disparate properties (and nomenclature) of active galaxies (the use of the word "torus" here is generic for the obscuring region). Type 1 sources are those in which we have an unimpeded view of the central regions and therefore exhibit the straight physics of AGN with no absorption. Type 2 objects arise when the view is obscured by the torus. While many examples of local, and therefore relatively low-power, type 2 AGN are known (Seyfert 2s), it has been debated if their high-power counterparts, type 2 QSO, exist. If so, they are expected to make a significant fraction of the X-ray background. These sources are heavily reddened and therefore fall through the "standard" (optical) methods of quasar selection. The hard X-rays, however, are thought to be able to penetrate the torus. Type 2 QSO, therefore, should have narrow, if any, permitted lines, powerful hard X-ray emission, and a high equivalent width Fe K line.

Some recent papers: A Classic Type 2 QSO, The HELLAS2XMM survey. IV. Optical identifications and the evolution of the accretion luminosity in the Universe

These science goals fit perfectly with the emphasis on spectral data which will characterize the AVO demo. The two GOODS fields, already used for the first AVO demo, are the most suitable areas of the sky.
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Related pages

TWiki Page Title
AcsPhotometry Photometry information for ACS images
CDSXMatchPlugin CDS Plugin for Cross-match in the AVO prototype
ColumnManipulations Column Manipulations
ColumnCalculator Column calculator tool
ColumnCalculator Column calculator tool
ExtragalacticWorkflow Step by step instructions of extragalactic demo
GeomXMatch Geometric Cross Matching Facility
RadioData Radio Data

Data

The science case revolves around spectra (VLT/FORS2) and the heavy use of multiwavelength data to discover new objects.

Reduced FORS1/2 spectra are publicly available or were made available to us by the CDFS team.

We will also use X-ray catalogs and ACS images. The 5-epoch, stacked images are available, for example, from the ESO GOODS page

Demo Workflow

  • 1. use X-ray (Chandra) catalogs, available for both the North (2 Ms) and the South (1 Ms). These have fluxes in various X-ray sub-bands.
  • 2. compute the hardness ratio, defined as HR = (H-S)/(H+S), where H is the "hard" X-ray count rate (2.0 - 8.0 keV) and S is the "soft" X-ray count rate (0.5 - 2.0 keV). This will require manipulation of two columns in the X-ray catalogs. When H is an upper limit set HR equal to -1, when S is an upper limit set HR equal to 1. Following Szokoly et al. (2003) we define absorbed sources as having HR >= -0.2. XMM spectra in ASCII format might also be available for a few representative sources.
  • 3. turn to optical data: these will include
    • 3.1 if optical (FORS2) spectrum is available:
      • 3.1.1 pop-up the spectrum by clicking on the optical image, overlaid with the X-ray catalog, using SpecView (what about XMM spectrum? do we want an SED?)
      • 3.1.2 determine the type (1 or 2) and redshift in some automated fashion (measure line width/strength/ID); tools to do this have been developed but none is available (at least to us) for on-the-fly classification in a VO environment. The classification will then be left to the astronomer here; the redshift will come from two catalogs: one (still proprietary) provided by the CDFS team for the South, and another one, public, for the North (Barger et al. 2003)
      • 3.1.3 derive X-ray power; i.e., take the X-ray flux in a given band, take the redshift, and compute the power; anything above 10^42 - 10^43 erg/s has to be AGN related. Need de-absorbed flux for type 2 sources. This can be done, for example, by assuming an X-ray spectrum typical of type 1 sources (alpha_x = 1) and by then deriving the absorbing column from the hardness ratio. Correction is around 15% in the 2 - 10 keV band for a typical HR ~ 0.5 and z = 1.
    • 3.2 if no optical spectrum is available:
      • 3.2.1 determine optical/IR fluxes by firing off a request to the Astronomical Catalogue Extractor (ACE); we need the ACS I-band fluxes (see below), which can be derived from the ACS I magnitudes by converting first to Vega magnitudes (I_Vega = I_ACS - 0.42) and then using the following relationship (from Zombeck) to derive the I-band flux: I_flux = 10^(-0.4*I_Vega-9.080))*2400.
      • 3.2.2 Perform cross-matching between optical and X-ray positions. The optical positions are determined in step 3.2.1.
      • 3.2.3 derive X-ray-to-infrared flux ratios from previous step (X-ray fluxes are available from the Chandra catalogues) and determine the type (1 or 2) according to the following prescription: if log(f_x/f_i) > -1.4 (equivalent to log(f_x/f_r) > -1 for (R - i) ~ 1: see below) AND HR is >= -0.2 then the object is a type 2; if log(f_x/f_i) > -1.4 AND HR is < -0.2 then the object is a type 1; the cut in f_x/f_i gets rid of the galaxies.
      • 3.2.4 determine redshift; this can be done in two ways:
        • 3.2.4.1 get photometric redshift from optical colors. Computation of redshift on-the-fly (photo-z) is difficult; images in different bands and/or taken with different instruments need to be registered on the same astrometric solution; plus, the different PSF have to be matched, i.e. aperture corrections have to be made, to obtain meaningful colours. No tools are available to do this on-the-fly yet. One solution is to degrade the ACS data to match them with the ISAAC data. Work on a tool which utilizes Hyper-z is almost completed by ASTRO-GRID, using at the moment the four ACS images. This will work only for relatively bright sources (R < 24 - 25).
        • 3.2.4.2 alternatively, for type 2 sources (only) one can estimate the redshift from the X-ray power, derived from the X-ray to optical flux ratio, as in this paper, namely log Lx = log(f_x/f_r) + 43.05 (Fig. 5). As we will be using ACS i-band fluxes, we will use typical (R-i) colors to convert from R-band to i-band. Since these sources have typically <(R - i)> ~ 1, log f_r = log f_i - 0.4*<(R - i)> = log f_i - 0.4. Therefore log Lx = log(f_x/f_i) + 43.45. (All logs are log_10.)
      • 3.2.5 derive X-ray power; i.e., take the X-ray flux in a given band, take the redshift, and compute the power; anything above 10^42 - 10^43 erg/s has to be AGN related
    • 3.3 it would be good to display image cutouts, both optical and X-ray (in various bands); that will give a very good visual impression, especially for absorbed sources
  • 4. final output: table with X-ray power and type; type 2 sources with Lx > 10^44 erg/s are the type 2 QSOs!

Here you can find all the manipulations we'll need to be able to do for the demo.

Could also use radio detections of Szokoly QSO 1 and 2's -Aladin screenshot of VLA steep-spectrum QSO-2 v. flatter spectrum AGN-1 in CDFS- more sources and details in RadioData.

Flow diagram

extra.png
Fig. 1: Flow diagram; enumeration refers to bullet list above this figure.

Flow diagram - step 3.2.4.1

hyperzdia.png
Fig. 2: Detailed flow diagram for step 3.2.4.1



Attachment sort Action Size Date Uploaded by Comment
paper13_table3.cat manage 189.4 K 27 Oct 2003 - 18:24 MarkusDolensky Chandra HDFN experimental catalog for AVO proto.
paper13_tableA2.cat manage 121.0 K 27 Oct 2003 - 18:25 MarkusDolensky Chandra CDFS experimental catalog for AVO proto
M115_994852_02_904wgc.fits manage 42.2 K 04 Nov 2003 - 11:13 JonasHaase FORS2 sample spectrum 1 - Patched header keywords
M137_981451_33_447wgc.fits manage 70.3 K 04 Nov 2003 - 11:14 JonasHaase FORS2 sample spectrum 2 - Patched header keywords
cdf_004_036.fits manage 42.2 K 12 Nov 2003 - 12:12 MarkusDolensky FORS1 sample spectrum (XID 4)
cdf_019_046.fits manage 42.2 K 12 Nov 2003 - 12:13 MarkusDolensky FORS1 sample spectrum (XID 19)
barger.tbl manage 49.4 K 14 Nov 2003 - 15:57 MarkusDolensky HDFN object catalogue by Barger et al. (2003)
szokoly.xml manage 61.0 K 07 Jan 2004 - 12:20 MarkusDolensky catalog of FORS spectra of X-ray targets (Szokoly)
alexander.xml manage 321.8 K 08 Jan 2004 - 10:13 MarkAllen VizieR VOTable version of paper13_tableA2
testrun1.ppt manage 8795.5 K 13 Jan 2004 - 20:51 MarkAllen Screen shots of AVO demo test run (1)
testrun1.sxi manage 8705.3 K 13 Jan 2004 - 20:52 MarkAllen Screen shots of AVO test run (1) OpenOffice? format
FILTER.RES manage 393.2 K 14 Jan 2004 - 15:03 NicholasWalton hyperz FGILTER.RES including the ACS BVIZ response
filters.log manage 14.5 K 14 Jan 2004 - 15:04 NicholasWalton hyperz filters.log describing FILTER.RES
zphot-out-cdfs.xml manage 13427.5 K 20 Jan 2004 - 14:44 MarkAllen VOTable version of photo-z table
hdfn-bviz.z_phot.cat.gz manage 1650.7 K 23 Jan 2004 - 09:56 NicholasWalton hdfn hyperz o/p - not votable
demo_files.tar.gz manage 7504.5 K 28 Jan 2004 - 09:44 MarkAllen Extragalactic Case Files. (linux)
demo-pah.txt manage 0.4 K 27 Jan 2004 - 12:14 NicholasWalton  
extragalactic.zip manage 7737.0 K 05 Feb 2004 - 20:00 MarcoLeoni Files for extragalactic case (windows version)
extragalactic.tar.gz manage 6991.2 K 30 Jan 2004 - 13:06 MarkusDolensky Files for extragalactic case (unix/linux version)
ExtraGalactic-screenshots.sxi manage 22473.5 K 06 Feb 2004 - 14:51 MarkAllen Screen-shots of Extragalactic Case (open office)
ExtraGalactic-screenshots.ppt manage 22706.5 K 06 Feb 2004 - 14:45 MarkAllen Screen-shots of Extragalactic Case (ppt)
ExtraGalactic-screenshots.pdf manage 8222.2 K 06 Feb 2004 - 15:01 MarcoLeoni Screen-shots of Extragalactic Case (pdf)

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Topic revision r1.69 - 01 Dec 2004 - 10:26 - MarcoLeoni
Topic parents: WebHome > WorkAreas > WorkAreaOne
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