The H I Parkes All Sky Survey: southern observations, calibration and robust imaging

D. G. Barnes*, L. Staveley-Smith, W. J. G. De Blok, T. Oosterloo, I. M. Stewart, A. E. Wright, G. D. Banks, R. Bhathal, P. J. Boyce, M. R. Calabretta, M. J. Disney, M. J. Drinkwater, R. D. Ekers, K. C. Freeman, B. K. Gibson, A. J. Green, R. F. Haynes, P. Te Lintel Hekkert, P. A. Henning, H. JerjenS. Juraszek, M. J. Kesteven, V. A. Kilborn, P. M. Knezek, B. Koribalski, R. C. Kraan-Korteweg, D. F. Malin, M. Marquarding, R. F. Minchin, J. R. Mould, R. M. Price, M. E. Putman, S. D. Ryder, E. M. Sadler, A. Schröder, F. Stootman, R. L. Webster, W. E. Wilson, T. Ye

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

425 Citations (Scopus)

Abstract

The acquisition of H I Parkes All Sky Survey (HIPASS) southern sky data commenced at the Australia Telescope National Facility's Parkes 64-m telescope in 1997 February, and was completed in 2000 March. HIPASS is the deepest Hi survey yet of the sky south of declination + 2°, and is sensitive to emission out to 170h75-1 Mpc. The characteristic root mean square noise in the survey images is 13.3 mJy. This paper describes the survey observations, which comprise 23 020 eight-degree scans of 9-min duration, and details the techniques used to calibrate and image the data. The processing algorithms are successfully designed to be statistically robust to the presence of interference signals, and are particular to imaging point (or nearly point) sources. Specifically, a major improvement in image quality is obtained by designing a median-gridding algorithm which uses the median estimator in place of the mean estimator.

Original languageEnglish
Pages (from-to)486-498
Number of pages13
JournalMonthly Notices of the Royal Astronomical Society
Volume322
Issue number3
DOIs
Publication statusPublished - 11 Apr 2001
Externally publishedYes

Keywords

  • Instrumentation: detectors
  • Methods: observational
  • Methods: statistical
  • Radio lines: galaxies
  • Surveys
  • Techniques: image processing

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