No Galaxy Left Behind: Accurate Measurements with the Faintest Objects in the Dark Energy Survey

Suchyta, E.

doi:10.1093/mnras/stv2953

Title: No Galaxy Left Behind: Accurate Measurements with the Faintest Objects in the Dark Energy Survey

Journal Article · Wed Jan 27 00:00:00 EST 2016 · Monthly Notices of the Royal Astronomical Society

DOI:https://doi.org/10.1093/mnras/stv2953· OSTI ID:1221330

Suchyta, E. ^[1]

The Ohio State Univ., Columbus, OH (United States). et al.

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. Here, we introduce a new measurement method that aims to minimize this wastage, allowing precision measurement for any class of detectable stars or galaxies. Moreover, our proposal was implemented in BALROG, software which embeds fake objects in real imaging to accurately characterize measurement biases. We demonstrate this technique with an angular clustering measurement using Dark Energy Survey (DES) data. We first show that recovery of our injected galaxies depends on a variety of survey characteristics in the same way as the real data. We then construct a flux-limited sample of the faintest galaxies in DES, chosen specifically for their sensitivity to depth and seeing variations. Using the synthetic galaxies as randoms in the Landy–Szalay estimator suppresses the effects of variable survey selection by at least two orders of magnitude. With this correction, our measured angular clustering is found to be in excellent agreement with that of a matched sample from much deeper, higher resolution space-based Cosmological Evolution Survey (COSMOS) imaging; over angular scales of 0.°004 < θ < 0.°2, we find a best-fitting scaling amplitude between the DES and COSMOS measurements of 1.00 ± 0.09. We expect this methodology to be broadly useful for extending measurements’ statistical reach in a variety of upcoming imaging surveys.

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Research Organization:: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Contributing Organization:: DES Collaboration

Grant/Contract Number:: AC02-07CH11359; SC00112704

OSTI ID:: 1221330

Alternate ID(s):: OSTI ID: 1254809

Report Number(s):: FERMILAB-PUB-15-307-AE; BNL-112200-2016-JA; arXiv eprint number arXiv:1507.08336

Journal Information:: Monthly Notices of the Royal Astronomical Society, Vol. 457; ISSN 0035-8711

Publisher:: Royal Astronomical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 65 works

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