Exploring and Viewing Catalogs & Data Cubes

A) Catalogs

1. Published Catalogs in CDS/vizier - NOTE: ideally, catalogued sources are cross-connected to multi-wavelength images, spectra, cubes, etc.
2. (a) type *HIPASS* in the second field or go to HIPASS catalogs in CDS/vizier

   • (b) alternately type *pulsar* in the second field or go to Pulsar catalogs in CDS/vizier

   • (c) alternately type Cornwell in the second field or go to catalogs incl. author=Cornwell

3. (a) choose the `HIPASS Bright Galaxy Catalog' (HIPASS BGC) * QUERY+VO

4. (a) execute a query, then plot the results with the VOPlot utility (scroll to bottom left of page), select columns (etc.) to display any properties

   • (b) or alternately choose a pulsar catalog * QUERY+VO

   • (b) execute a query, then plot the results with the VOPlot utility

5. VOPlot Help (NOTE: the "Standalone Version" is required for loading VOTables not in CDS/vizier and for Loading Multiple VOTables)
6. Local examples - not yet in VOTable format - include:
   • ATLAS (Emil Lenc et al.),
   • PSRCAT (George Hobbs et al.),
   • HI Catalogs (Baerbel Koribalski, in prep.),
   • WiggleZ (Russell Jurek et al.),
   • 6dF, etc.

7. NOTE: SkyView allows to overlay CDS/vizier, HEASARC, NED and other VOTables onto images resulting from any query.
8. Desirable: viewing catalogs in multi dimensions using, e.g., S2Plot, Topcat, ..., and producing publishable output files
9. Install: VOPlot, S2Plot, SkyView-in-a-Jar, ...

10. ... is this the way to go ? ... any better ideas/plans ?

B) Data: cubes & spectra

1. KARMA (e.g. kvis, kpvslice, ...) - great, but not able to handle very large cubes
2. Spectra in NED

   • e.g., HIPASS BGC spectra

3. SkyView (NOTE: HIPASS cubes have been uploaded to SkyView and will soon be fully available under 3-D Image Surveys)

4. SkyView - Standalone

5. at ATNF

   • HIPASS Spectra and HIPASS Gateway

   • more general: ATNF HI Survey Gateway

   • ... in the process of repairing and expanding functionality

C) Roaming Large Surveys

1. WikiSky (DSS, SDSS, GALEX, ...) or GoogleSky (aim to import HIPASS moments maps !)

2. Great example: MIPSGAL (Google Map)

3. To do: make my own layer in GoogleSky (might need wcs2kml and/or NRAO kml)

4. etc.

D) WALLABY

1. like HIPASS, but much bigger and much better :)

2. Wallaby HI catalog (approx. 500,000 sources = 1000 x HIPASS catalog)

3. Wallaby - single HI cube (16384 channels x 2000 pixels x 2000 pixels = 1600 x single HIPASS cube)