1986
DOI: 10.1093/mnras/218.1.31
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The Parkes selected regions: powerful radio galaxies and quasars at high redshifts

Abstract: We present the largest ever sample of radio polarization properties for z > 4 sources, with 14 sources having significant polarization detections. Using wideband data from the Karl G. Jansky Very Large Array, we obtained the rest-frame total intensity and polarization properties of 37 radio sources, nine of which have spectroscopic redshifts in the range 1 ≤ z ≤ 1.4, with the other 28 having spectroscopic redshifts in the range 3.5 ≤ z ≤ 6.21. Fits are performed for the Stokes I and fractional polarization spe… Show more

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Cited by 215 publications
(227 citation statements)
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“…24µm-selected galaxies, optical i-band selected galaxies, etc) having a given space density. The p-value is calculated via the following as described in Downes et al (1986):…”
Section: Radio Counterpartsmentioning
confidence: 99%
“…24µm-selected galaxies, optical i-band selected galaxies, etc) having a given space density. The p-value is calculated via the following as described in Downes et al (1986):…”
Section: Radio Counterpartsmentioning
confidence: 99%
“…It is thus more relevant to compare our results to higher flux limit surveys. In the Parkes sample (Wall et al, 1971;Downes et al, 1986;Dunlop et al 1989), at the flux limit of S2.7GHz = 100mJy, no flat spectrum radio galaxy was found below z = 0.02, the redshift at which a 10 23 W Hz −1 source is at the Parkes flux limit. We find 5 flat spectrum ellipticals (0.75 < z < 1) in the volume contained in our 10 ′ × 10 ′ MOS field, which is 7.5 times smaller than the volume in the Parkes survey to z = 0.02.…”
Section: Radio Emission From Distant Ellipticals Compared To Nearby Onesmentioning
confidence: 99%
“…Clearly, more sophisticated matching algorithms must be considered A significant number of techniques exist to facilitate the matching of catalogues. Techniques such as the p-statistic (Downes et al 1986) and the likelihood ratio (Sutherland & Saunders 1992) make use of the number density of background (and true counterpart) sources to 'weigh' potential counterparts within a given search radius, but cannot take into account the likelihood that several radio components may correspond to one optical component. More recently, Budavári & Szalay (2008) outlined a Bayesian method to determine the most likely match.…”
Section: Classification and Cross-identificationmentioning
confidence: 99%