4.7 Article

Statistical properties of extragalactic sources in the New Extragalactic WMAP Point Source (NEWPS) catalogue

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OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2007.12733.x

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surveys; galaxies : active; cosmic microwave background; radio continuum : galaxies; radio continuum : general

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We present results on spectral index distributions, number counts, redshift distribution and other general statistical properties of extragalactic point sources in the New Extragalactic WMAP Point Source(5 sigma) (NEWPS) sample. The flux calibrations at all the Wilkinson Microwave Anisotropy Probe channels have been reassessed both by comparison with ground-based observations and through estimates of the effective beam areas. The two methods yield consistent statistical correction factors. A search of the NASA Extragalactic Data base (NED) has yielded optical identifications for similar to 89 per cent of sources in the complete subsample of 252 sources with signal-to-noise ratio (S/N) >= 5 and S >= 1.1 Jy at 23 GHz; five sources turned out to be Galactic and were removed. The NED also yielded redshifts for similar or equal to 92 per cent of the extragalactic sources at vertical bar b vertical bar > 10 degrees. Their distribution was compared with model predictions; the agreement is generally good but a possible discrepancy is noted. Using the 5 GHz fluxes from the GB6 or PMN surveys, we find that similar to 76 per cent of the 191 extragalactic sources with S-23GHz > 1.3 Jy can be classified as flat-spectrum sources between 5 and 23 GHz. A spectral steepening is observed at higher frequencies: only 59 per cent of our sources are still flat-spectrum sources between 23 and 61 GHz, and the average spectral indexes steepen from = 0.01 +/- 0.03 to = 0.37 +/- 0.03. We think, however, that the difference may be due to a selection effect. The source number counts have a close to Euclidean slope and are in good agreement with the predictions of the cosmological evolution model by De Zotti et al. The observed spectral index distributions were exploited to get model-independent extrapolations of counts to higher frequencies. The risks of such operations are discussed and reasons of discrepancies with other recent estimates are clarified.

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