2016
DOI: 10.1093/mnras/stv2953
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No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey

Abstract: Accurate statistical measurement with large imaging surveys has traditionally required throwing away a sizable fraction of the data. This is because most measurements have relied on selecting nearly complete samples, where variations in the composition of the galaxy population with seeing, depth, or other survey characteristics are small.We introduce a new measurement method that aims to minimize this wastage, allowing precision measurement for any class of detectable stars or galaxies. We have implemented our… Show more

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Cited by 97 publications
(111 citation statements)
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“…The high percentage of sources missed in DES is due to various problems, one of them being that the griz 10σ depths differ by 2 mag between the two data sets. This accounts for most of the undetected sources in DES: when we simulate fake faint galaxies with BALROG 3 (Suchyta et al 2016) on the DES image of RXJ2248, we find that the completeness in riz bands (which are those used to run the detection) drops below 20 per cent between magnitude 24 and 25, justifying the incompleteness found when comparing to the even deeper CLASH survey. We also expected one of the problems to be blending, especially close to the bright cluster core.…”
Section: O M Pa R I S O N O F D E S a N D C L A S Hmentioning
confidence: 67%
See 1 more Smart Citation
“…The high percentage of sources missed in DES is due to various problems, one of them being that the griz 10σ depths differ by 2 mag between the two data sets. This accounts for most of the undetected sources in DES: when we simulate fake faint galaxies with BALROG 3 (Suchyta et al 2016) on the DES image of RXJ2248, we find that the completeness in riz bands (which are those used to run the detection) drops below 20 per cent between magnitude 24 and 25, justifying the incompleteness found when comparing to the even deeper CLASH survey. We also expected one of the problems to be blending, especially close to the bright cluster core.…”
Section: O M Pa R I S O N O F D E S a N D C L A S Hmentioning
confidence: 67%
“…The median 10σ depths of SV data are g ∼ 24.45, r ∼ 24.30, i ∼ 23.50, z ∼ 22.90, Y ∼ 21.70, which reach close to the expected DES full depths. Limiting magnitudes were estimated for the 200 deg 2 SPT-E part of the wide-field SV area using BALROG (Suchyta et al 2016) and PSF magnitude errors for true point sources.…”
Section: Datamentioning
confidence: 99%
“…The methods we have presented, both correcting for systematic dependencies and ensuring the robustness of these corrections, can be used as a guide for future analyses. Possible improvements to the work include incorporating image simulations [55] and using mode projection techniques [16].…”
Section: Discussionmentioning
confidence: 99%
“…These can be stars, galaxies described by single-or double-Sérsic models, or galaxies described by the sum of a de Vaucouleurs and an exponential profile. SynPipe is similar in spirit to the BALROG simulation package used for the DES survey as described by Suchyta et al (2016), with two main differences. The first is that SynPipe interfaces with hscPipe and can therefore be used to create synthetic objects with properties measured in the same way as HSC data.…”
Section: Synthetic Object Pipelinementioning
confidence: 99%