SIMBAD references

2001MNRAS.322..486B - Mon. Not. R. Astron. Soc., 322, 486-498 (2001/April-2)

The HI Parkes All Sky Survey: southern observations, calibration and robust imaging.

BARNES D.G., STAVELEY-SMITH L., DE BLOK W.J.G., OOSTERLOO T., STEWART I.M., WRIGHT A.E., BANKS G.D., BHATHAL R., BOYCE P.J., CALABRETTA M.R., DISNEY M.J., DRINKWATER M.J., EKERS R.D., FREEMAN K.C., GIBSON B.K., GREEN A.J., HAYNES R.F., TE LINTEL HEKKERT P., HENNING P.A., JERJEN H., JURASZEK S., KESTEVEN M.J., KILBORN V.A., KNEZEK P.M., KORIBALSKI B., KRAAN-KORTEWEG R.C., MALIN D.F., MARQUARDING M., MINCHIN R.F., MOULD J.R., PRICE R.M., PUTMAN M.E., RYDER S.D., SADLER E.M., SCHROEDER A., STOOTMAN F., WEBSTER R.L., WILSON W.E. and YE T.

Abstract (from CDS):

The acquisition of Hi 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 170 h 75 -1Mpc. The characteristic root mean square noise in the survey images is 13.3mJy. This paper describes the survey observations, which comprise 23020 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.

Abstract Copyright: The Royal Astronomical Society

Journal keyword(s): instrumentation: detectors - methods: observational - methods: statistical - techniques: image processing - surveys - radio lines: galaxies

Simbad objects: 11

goto Full paper

goto View the reference in ADS

To bookmark this query, right click on this link: simbad:2001MNRAS.322..486B and select 'bookmark this link' or equivalent in the popup menu


2019.09.18-05:45:17

© Université de Strasbourg/CNRS

    • Contact