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arXiv · 1406.7796

Non-Gaussian inference from non-linear and non-Poisson biased distributed data

Metin Ata·Francisco-Shu Kitaura·Volker Müller
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Abstract

We study the statistical inference of the cosmological dark matter density field from non-Gaussian, non-linear and non-Poisson biased distributed tracers. We have implemented a Bayesian posterior sampling computer-code solving this problem and tested it with mock data based on N-body simulations.

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Metin Ata, Francisco-Shu Kitaura, Volker Müller. 2014-06-30. Non-Gaussian inference from non-linear and non-Poisson biased distributed data. https://arxiv.org/abs/1406.7796

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