Cylinders out of a top hat: Counts-in-cells for projected densities
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Authors
Uhlemann, C
Pichon, C
Codis, S
L'Huillier, B
Kim, J
Bernardeau, F
Park, C
Prunet, S
Publication Date
2018-06-21Journal Title
Monthly Notices of the Royal Astronomical Society
ISSN
0035-8711
Publisher
Oxford University Press
Volume
477
Issue
2
Pages
2772-2785
Language
eng
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Uhlemann, C., Pichon, C., Codis, S., L'Huillier, B., Kim, J., Bernardeau, F., Park, C., & et al. (2018). Cylinders out of a top hat: Counts-in-cells for projected densities. Monthly Notices of the Royal Astronomical Society, 477 (2), 2772-2785. https://doi.org/10.1093/MNRAS/STY664
Abstract
© 2017 The Authors. Large deviation statistics is implemented to predict the statistics of cosmic densities in cylinders applicable to photometric surveys. It yields few per cent accurate analytical predictions for the one-point probability distribution function (PDF) of densities in concentric or compensated cylinders; and also captures the density dependence of their angular clustering (cylinder bias). All predictions are found to be in excellent agreement with the cosmological simulation Horizon Run 4 in the quasi-linear regime where standard perturbation theory normally breaks down. These results are combined with a simple local bias model that relates dark matter and tracer densities in cylinders and validated on simulated halo catalogues. This formalism can be used to probe cosmology with existing and upcoming photometric surveys like DES, Euclid or WFIRST containing billions of galaxies.
Keywords
methods: analytical, methods: numerical, large-scale structure of Universe, cosmology: theory
Sponsorship
Science and Technology Facilities Council (ST/P000673/1)
Science and Technology Facilities Council (ST/L000636/1)
Identifiers
External DOI: https://doi.org/10.1093/MNRAS/STY664
This record's URL: https://www.repository.cam.ac.uk/handle/1810/280279
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
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