2004
DOI: 10.2307/29736147
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A Deviant Insider

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Cited by 6 publications
(6 citation statements)
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“…To avoid the blending issue, we match the catalogue from the Spitzer/MIPS 24µm catalogue (beam size 6") to the 8µm catalogue (2" resolution), then match the 8µm counterparts from the CANDELS F160W band selected catalogue, so that one 24µm target will have at most one optical counterpart. For the catalogue-matching process, we consider the corrected-Poissonian probability, or the p-values (Downes et al 1986). We can see that nearly all the galaxies with a stellar mass lower than 10 8 M ⊙ are not detected in the 24µm image.…”
Section: Resultsmentioning
confidence: 99%
“…To avoid the blending issue, we match the catalogue from the Spitzer/MIPS 24µm catalogue (beam size 6") to the 8µm catalogue (2" resolution), then match the 8µm counterparts from the CANDELS F160W band selected catalogue, so that one 24µm target will have at most one optical counterpart. For the catalogue-matching process, we consider the corrected-Poissonian probability, or the p-values (Downes et al 1986). We can see that nearly all the galaxies with a stellar mass lower than 10 8 M ⊙ are not detected in the 24µm image.…”
Section: Resultsmentioning
confidence: 99%
“…We start by identifying the radio counterparts to the SPIRE sources. We used the p statistics (Downes et al 1986) to quantify the likelihood of a radio source being a chance association to the SPIRE source. This procedure is more appropriate to identify radio counterparts than the LR method, since the surface density of radio sources is much lower than the optical and NIR catalogues.…”
Section: Radio Counterparts To Submm Sourcesmentioning
confidence: 99%
“…Ivison et al 2007). We have chosen to cross-match the parent SMG catalogue with our radio maps (Section 2.2) using a P < 0.05 selection criterion, meaning that the probability of a spurious association is less than 5 per cent (Downes et al 1986). This probability has two dependencies -the radius within which we search for radio counterparts and the cumulative radio source number count distribution per surface unit, N (>S).…”
Section: Radio Identificationsmentioning
confidence: 99%