2009
DOI: 10.1088/0004-637x/707/2/1750
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Submillimeter Number Counts From Statistical Analysis of Blast Maps

Abstract: We describe the application of a statistical method to estimate submillimeter galaxy number counts from confusion limited observations by 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 stan… Show more

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Cited by 99 publications
(149 citation statements)
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References 62 publications
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“…There is flattening to about 20 mJy. We find very good agreement with the number counts estimated from a P(D) fluctuation analysis of the BLAST maps (Patanchon et al 2009). …”
Section: Resultssupporting
confidence: 79%
See 2 more Smart Citations
“…There is flattening to about 20 mJy. We find very good agreement with the number counts estimated from a P(D) fluctuation analysis of the BLAST maps (Patanchon et al 2009). …”
Section: Resultssupporting
confidence: 79%
“…We have constructed input maps various from various number count models (Pearson & Khan 2009;Lagache et al 2004;Patanchon et al 2009) and models from Xu et al 2003;Lacey et al 2010). These input maps are then processed by the SPIRE photometer simulator (sps, Sibthorpe et al 2009) for observational programmes exactly the same as the real data.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…P(D) method allows a constraint on the faint-end counts below confusion and has been used widely in sub-mm maps since the SCUBA surveys (Hughes et al, 1998). Patanchon et al (2009) expanded the technique with a parameterized functional form for faint-end counts with knots and slopes. The number count model parameters extracted through the P(D) histogram data under such a model are correlated and these correlations need to be taken into account either when comparing faint-end P(D) counts to number count models or when using P(D) counts to distinguish cosmological models of the DSFG population.…”
Section: The Cosmic Infrared Background and P(d) Analysismentioning
confidence: 99%
“…Aims. We estimate the extragalactic number counts in the BLAST data, which allow a comparison with the results of the P(D) analysis of Patanchon et al (2009). Methods.…”
mentioning
confidence: 99%