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相关论文: Statistics of cosmic density profiles from perturb…

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We present a first principle approach to obtain analytical predictions for spherically-averaged cosmic densities in the mildly non-linear regime that go well beyond what is usually achieved by standard perturbation theory. A large deviation…

宇宙学与河外天体物理 · 物理学 2016-05-25 Cora Uhlemann , Sandrine Codis , Christophe Pichon , Francis Bernardeau , Paulo Reimberg

The probability distribution function (PDF) of the mass surface density is an essential characteristic of the structure of molecular clouds or the interstellar medium in general. Observations of the PDF of molecular clouds indicate a…

星系天体物理 · 物理学 2015-06-18 Joerg Fischera

In the context of count-in-cells statistics, the joint probability distribution of the density in two concentric spherical shells is predicted from first first principle for sigmas of the order of one. The agreement with simulation is found…

宇宙学与河外天体物理 · 物理学 2015-06-23 Francis Bernardeau , Sandrine Codis , Christophe Pichon

The probability distribution function (PDF) of the mass surface density of molecular clouds provides essential information about the structure of molecular cloud gas and condensed structures out of which stars may form. In general, the PDF…

星系天体物理 · 物理学 2015-06-22 Jörg Fischera

Perturbation Theory (PT) applied to a cosmological density field with Gaussian initial fluctuations suggests a specific hierarchy for the correlation functions when the variance is small. In particular quantitative predictions have been…

天体物理学 · 物理学 2009-10-30 D. Munshi , F. Bernardeau , A. L. Melott , R. Schaeffer

In this paper, we study the statistical evolution of the large-scale structure (LSS), focusing on the joint probability distribution function (PDF) of the coarse-grained cosmic field and its role in constructing effective dynamics. As the…

宇宙学与河外天体物理 · 物理学 2021-10-20 Xin Wang

The one-point probability distribution function (pdf) of the large-scale density field is an important tool to follow the evolution of cosmological structures. In this paper we present a new model for this pdf for all regimes and all…

天体物理学 · 物理学 2009-11-10 Patrick Valageas , Dipak Munshi

Context: Statistical properties of the cosmic density fields are to a large extent encoded in the shape of the one-point density probability distribution functions (PDF). In order to successfully exploit such observables, a detailed…

宇宙学与河外天体物理 · 物理学 2022-07-20 Francis Bernardeau

In order to quantify the error budget in the measured probability distribution functions of cell densities, the two-point statistics of cosmic densities in concentric spheres is investigated. Bias functions are introduced as the ratio of…

宇宙学与河外天体物理 · 物理学 2016-06-08 Sandrine Codis , Francis Bernardeau , Christophe Pichon

Weak gravitational lensing surveys are rapidly becoming important tools to probe directly the mass density fluctuations in the universe and its background dynamics. Earlier studies have shown that it is possible to model the statistics of…

天体物理学 · 物理学 2009-11-07 Patrick Valageas , Andrew J. Barber , Dipak Munshi

The analytical formalism to obtain the probability distribution functions (PDFs) of spherically-averaged cosmic densities and velocity divergences in the mildly non-linear regime is presented. A large-deviation principle is applied to those…

宇宙学与河外天体物理 · 物理学 2017-08-03 Cora Uhlemann , Sandrine Codis , Oliver Hahn , Christophe Pichon , Francis Bernardeau

Using a suite of self-similar cosmological simulations, we measure the probability distribution functions (PDFs) of real-space density, redshift-space density, and their geometric mean. We find that the real-space density PDF is…

宇宙学与河外天体物理 · 物理学 2022-04-27 Huanqing Chen , Nickolay Y. Gnedin , Philip Mansfield

This work presents a formalism for deriving likelihoods of the cosmological density field directly from first principles within Perturbation Theory (PT). By assuming a perturbative expansion around the Gaussian initial density field and…

宇宙学与河外天体物理 · 物理学 2025-05-30 Rodrigo Voivodic

We derive cosmological constraints from the probability distribution function (PDF) of evolved large-scale matter density fluctuations. We do this by splitting lines of sight by density based on their count of tracer galaxies, and by…

Perturbation theory makes it possible to calculate the probability distribution function (PDF) of the large scale density field in the small variance limit. For top hat smoothing and scale-free Gaussian initial fluctuations, the result…

天体物理学 · 物理学 2015-06-24 S. Colombi , F. Bernardeau , F. R. Bouchet , L. Hernquist

We quantitatively study the probability distribution function (PDF) of cosmological nonlinear density fluctuations from N-body simulations with Gaussian initial condition. In particular, we examine the validity and limitations of one-point…

天体物理学 · 物理学 2009-11-06 Issha Kayo , Atsushi Taruya , Yasushi Suto

We present a new calculation for the evolution of the 1-point Probability Distribution Function (PDF) of the cosmological density field based on an exact statistical treatment. Using the Chapman-Kolmogorov equation and second-order Eulerian…

天体物理学 · 物理学 2009-10-31 Andrew Taylor , Peter Watts

Measurements of a weighted energy density average taken in the vacuum state of a conformal field theory in $1+1$ dimensions are randomly distributed with vanishing expectation value. The probability distribution is computed in closed form…

高能物理 - 理论 · 物理学 2020-01-29 Matthew C. Anthony , Christopher J. Fewster

We study the one-point probability distribution function (PDF) for matter density averaged over spherical cells. The leading part to the PDF is defined by spherical collapse dynamics, whereas the next-to-leading part comes from the…

宇宙学与河外天体物理 · 物理学 2023-08-08 Anton Chudaykin , Mikhail M. Ivanov , Sergey Sibiryakov

We present results of the investigations of the statistical properties of a joint density and velocity divergence probability distribution function (PDF) in the mildly non-linear regime. For that purpose we use both perturbation theory…

天体物理学 · 物理学 2009-10-31 F. Bernardeau , M. J. Chodorowski , E. L. Lokas , R. Stompor , A. Kudlicki
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