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Resource Record Summary

Catalog Service:
Australia Telescope Low-Brightness Survey Source Catalog

Short name: ATLBS1P4GH
IVOA Identifier: ivo://nasa.heasarc/atlbs1p4ghPublisher: NASA/GSFC HEASARCivo://nasa.heasarc/ASD[Pub. ID]
More Info: https://heasarc.gsfc.nasa.gov/W3Browse/all/atlbs1p4gh.html
VO Compliance: Level 2: This is a VO-compliant resource.
Status: active
Registered: 2024 Jun 21 00:00:00Z
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Description


The Australia Telescope Low-brightness Survey (ATLBS) regions have been mosaic imaged at a radio frequency of 1.4 GHz with 6 arcseconds angular resolution and 72 microJansky per beam (uJy/beam) rms noise. The images (centered at RA 00<sup>h</sup> 35<sup>m</sup> 00<sup>s</sup>, Dec -67<sup>o</sup> 00' 00" and RA 00<sup>h</sup> 59<sup>m</sup> 17<sup>s</sup>, Dec -67<sup>o</sup> 00' 00", J2000 epoch) cover 8.42 deg<sup>2</sup> sky area and have no artifacts or imaging errors above the image thermal noise. Multi-resolution radio and optical r-band images (made using the 4 m CTIO Blanco telescope) were used to recognize multi-component sources and prepare a source list of 1366 1.4-GHZ sources; the detection threshold was 0.38 mJy in a low-resolution radio image made with beam FWHM of 50 arcseconds. Radio source counts in the flux density range 0.4-8.7 mJy are estimated, with corrections applied for noise bias, effective area correction, and resolution bias. The resolution bias is mitigated using low-resolution radio images, while effects of source confusion are removed by using high-resolution images for identifying blended sources. Below 1 mJy the ATLBS counts are systematically lower than the previous estimates. Showing no evidence for an upturn down to 0.4 mJy, they do not require any changes in the radio source population down to the limit of the survey. The work suggests that automated image analysis for counts may be dependent on the ability of the imaging to reproduce connecting emission with low surface brightness and on the ability of the algorithm to recognize sources, which may require that source finding algorithms effectively work with multi-resolution and multi-wavelength data. The work underscores the importance of using source lists - as opposed to component lists - and correcting for the noise bias in order to precisely estimate counts close to the image noise and determine the upturn at sub-mJy flux density. This table was created by the HEASARC in April 2013 based on an electronic version of Table 2 from the reference paper that was obtained from the ApJ web site.. This is a service provided by NASA HEASARC .

More About this Resource

About the Resource Providers

This section describes who is responsible for this resource

Publisher: NASA/GSFC HEASARCivo://nasa.heasarc/ASD[Pub. ID]

Creator: Thorat et al. Contributor:

Contact Information:
X NASA/GSFC HEASARC help desk
Email:

Status of This Resource

This section provides some status information: the resource version, availability, and relevant dates.

Version: n/a
Availability: This is an active resource.
  • This service apparently provides only public data
Relevant dates for this Resource:
  • Representative: 2024 Jun 21

This resource was registered on: 2024 Jun 21 00:00:00Z
This resource description was last updated on: 2024 Jun 21 00:00:00Z

What This Resource is About

This section describes what the resource is, what it contains, and how it might be relevant.

Resource Class: CatalogService
This resource is a service that provides access to catalog data. You can extract data from the catalog by issuing a query, and the matching data is returned as a table.
Resource type keywords:
  • Catalog
Subject keywords:
  • Survey Source
This service provides data from:
  • facility: RADIO CATALOG
Intended audience or use:
  • Research: This resource provides information appropriate for supporting scientific research.
More Info: https://heasarc.gsfc.nasa.gov/W3Browse/all/atlbs1p4gh.html Literature Reference: 2013ApJ...762...16T

Related Resources:

Services that provide access to data in this resource:
HEASARC TAP ivo://nasa.heasarc/services/xamin [Res. ID]

Data Coverage Information

This section describes the data's coverage over the sky, frequency, and time.

Reference Coordinate System: UTC-ICRS-TOPOXXivo://STClib/CoordSys#UTC-ICRS-TOPO[Res. ID]

Sky Coverage: Regions covered:

  • All-sky: The data from this resource is distributed over the entire sky.
Typical Size Scale (Region of Regard): , 0.0833333333333333 deg

Wavebands covered:

  • Radio

Available Service Interfaces

Simple Cone SearchXXSearch Me

This is a standard IVOA service that takes as input a position in the sky and a radius and returns catalog records with positions within that radius.

VO Compliance: Level 2: This is a VO-compliant resource.
Available endpoints for the standard interface:
  • https://heasarc.gsfc.nasa.gov/xamin/vo/cone?showoffsets&table=atlbs1p4gh&
Maximum search radius accepted: 180 degrees
Maximum number of matching records returned: 99999
This service supports the VERB input parameter:
Use VERB=1 to minimize the returned columns or VERB=3 to maximize.
Table Access Protocol - Auxiliary ServiceXX

This is a standard IVOA service that takes as input an ADQL or PQL query and returns tabular data.

VO Compliance: Level 2: This is a VO-compliant resource.
Available endpoints for the standard interface:
  • https://heasarc.gsfc.nasa.gov/xamin/vo/tap
Custom Service

This is service that does not comply with any IVOA standard but instead provides access to special capabilities specific to this resource.

VO Compliance: Level 2: This is a VO-compliant resource.
Available endpoints for this service interface:
  • URL-based interface: https://heasarc.gsfc.nasa.gov/cgi-bin/W3Browse/getvotable.pl?name=atlbs1p4gh
Custom Service

This is service that does not comply with any IVOA standard but instead provides access to special capabilities specific to this resource.

VO Compliance: Level 2: This is a VO-compliant resource.
Available endpoints for this service interface:


Developed with the support of the National Science Foundation
under Cooperative Agreement AST0122449 with the Johns Hopkins University
The NAVO project is a member of the International Virtual Observatory Alliance

This NAVO Application is hosted by the Space Telescope Science Institute

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