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25 April 2024

» arxiv » 0906.0981

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Submillimeter Number Counts From Statistical Analysis of BLAST Maps
Guillaume Patanchon ; Peter A. R. Ade ; James J. Bock ; Edward L. Chapin ; Mark J. Devlin ; Simon R. Dicker ; Matthew Griffin ; Joshua O. Gundersen ; Mark Halpern ; Peter C. Hargrave ; David H. Hughes ; Jeff Klein ; Gaelen Marsden ; Philip Mauskopf ; Lorenzo Moncelsi ; Calvin B. Netterfield ; Luca Olmi ; Enzo Pascale ; Marie Rex ; Douglas Scott ; Christopher Semisch ; Nicholas Thomas ; Matthew D. P. Truch ; Carole Tucker ; Gregory S. Tucker ; Marco P. Viero ; Donald V. Wiebe ;
Date:	5 Jun 2009
Abstract:	We describe the application of a statistical method to estimate submillimeter galaxy number counts from the confusion limited observations of the Balloon-borne Large Aperture Submillimeter Telescope (BLAST). Our method is based on a maximum likelihood fit to the pixel histogram, sometimes called ’P(D)’, an approach which has been used before to probe faint counts, the difference being that here we advocate its use even for sources with relatively high signal-to-noise ratios. This method has an advantage over standard techniques of source extraction in providing an unbiased estimate of the counts from the bright end down to flux densities well below the confusion limit. We specifically analyse BLAST observations of a roughly 10 sq. deg map centered on the Great Observatories Origins Deep Survey South field. We provide estimates of number counts at the three BLAST wavelengths, 250, 350, and 500 microns, instead of counting sources in flux bins we estimate the counts at several flux density nodes connected with power-laws. We observe a generally very steep slope for the counts, breaking to be shallower towards the faint end at all three wavelengths. We also describe how to estimate the uncertainties and correlations in this method so that the results can be used for model-fitting. This method should be well-suited for analysis of data from the Herschel satellite.
Source:	arXiv, 0906.0981
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