Astronomy and Astrophysics – Astronomy
Scientific paper
Jan 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993phdt........44g&link_type=abstract
PhD Dissertation, Massachusetts Inst. of Tech. Cambridge, MA United States
Astronomy and Astrophysics
Astronomy
3
Southern Sky, Sky Surveys (Astronomy), Radio Sources (Astronomy), Stellar Luminosity, Angular Correlation, Data Reduction, Declination, Radio Telescopes, Tropical Regions, Visibility, Spatial Distribution, Cluster Analysis
Scientific paper
We describe a radio survey covering the sky from -87.5 deg to +10 deg declination made using the Parkes 64 m radio telescope with the NRAO multi-beam receiver at a frequency of 4850 MHz during 1990. We have fully reduced the data from the Southern Survey (-87.5 deg is less than delta is less than -37 deg) and Tropical Survey (-29 deg is less than delta is less than -9.5 deg). Together, these surveys cover 4.51 sr and contain 36,640 sources to a flux limit that is, typically, about 35 mJy but varies as a function of declination. In this thesis, we describe the overall PMN Survey, including equipment, observations, and the data reduction techniques adopted. We assess the quality of the source list resulting from the Southern and Tropical Surveys by estimating the completeness and reliability. We analyze the resulting source list for clustering on three distinct distance scales. We examine the extent of the Galactic plane in the radio and show that the 'rule of thumb' value of +/- 10 deg Galactic latitude is appropriate, but conservative. We also show that the distribution of sources in Galactic longitude is consistent with previous work. We check for clustering of radio sources toward the super-galactic plane and find no significant clustering. We analyze the data for large scale structure and show that our weighted differential source counts are consistent with the Northern Hemisphere counts. We use the 2-point angular correlation function to show that there is no significant large scale clustering of sources in the PMN Survey. We construct luminosity and visibility functions from a comparison of our data with an IRAS sample of galaxies and from other data. We use these luminosity functions along with the radio 2-point spatial correlation function to predict the angular correlation function. We determine which luminosity functions are consistent with our data. We use the luminosity and visibility functions to predict statistically the composition of the PMN Survey and distances to typical sources.
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