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相关论文: Bayesian analysis of the backreaction models

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We perform large-scale cosmological simulations that solve Einstein's equations directly via numerical relativity. Starting with initial conditions sampled from the cosmic microwave background, we track the emergence of a cosmic web without…

宇宙学与河外天体物理 · 物理学 2019-03-27 Hayley J. Macpherson , Daniel J. Price , Paul D. Lasky

This review article considers some of the most common methods used in astronomy for regressing one quantity against another in order to estimate the model parameters or to predict an observationally expensive quantity using trends between…

天体物理仪器与方法 · 物理学 2012-10-24 S. Andreon , M. A. Hurn

The theory of macroscopic gravity provides a formalism to average the Einstein field equations from small scales to largest scales in space-time. It is well known that averaging is an operation that does not commute with calculating the…

广义相对论与量子宇宙学 · 物理学 2023-12-12 Anish Agashe , Mustapha Ishak

We provide a thorough examination of the conditions for the existence of back-reaction and an "effective" acceleration (in the context of Buchert's averaging formalism) in regular generic spherically symmetric Lemaitre-Tolman-Bondi (LTB)…

广义相对论与量子宇宙学 · 物理学 2015-05-27 Roberto A Sussman

In order to quantitatively test the ability of averaged inhomogeneous cosmologies to correctly describe observations of the large scale properties of the Universe, we introduce a smoothed template metric corresponding to a constant spatial…

天体物理学 · 物理学 2012-12-10 Julien Larena , Jean--Michel Alimi , Thomas Buchert , Martin Kunz , Pier-Stefano Corasaniti

The current cosmological model ($\Lambda$CDM) with the underlying FLRW metric relies on the assumption of local isotropy, hence homogeneity of the Universe. Difficulties arise when one attempts to justify this model as an average…

宇宙学与河外天体物理 · 物理学 2017-11-01 Jan J. Ostrowski , Thomas Buchert , Boudewijn F. Roukema

For exchangeable data, mixture models are an extremely useful tool for density estimation due to their attractive balance between smoothness and flexibility. When additional covariate information is present, mixture models can be extended…

统计方法学 · 统计学 2023-08-01 Sara Wade , Vanda Inacio , Sonia Petrone

The cosmological dark sector remains an enigma, offering numerous possibilities for exploration. One particularly intriguing option is the (non-minimal) interaction scenario between dark matter and dark energy. In this paper, to investigate…

宇宙学与河外天体物理 · 物理学 2023-11-20 Luis A. Escamilla , Ozgur Akarsu , Eleonora Di Valentino , J. Alberto Vazquez

An expression for the average redshift drift in a statistically homogeneous and isotropic dust universe is given. The expression takes the same form as the expression for the redshift drift in FLRW models. It is used for a…

宇宙学与河外天体物理 · 物理学 2022-01-20 S. M. Koksbang , S. Hannestad

We propose an approach considering the nonextensive effects in the context of the Verlinde theory in order to address an extended cosmological model in the context of viscous dark energy. Specifically, this model leads to a tiny…

宇宙学与河外天体物理 · 物理学 2019-05-24 W. J. C. da Silva , R. Silva

Creation of Cold Dark Matter (CCDM), in the context of Einstein Field Equations, leads to a negative creation pressure, which can be used to explain the accelerated expansion of the Universe. Recently, it has been shown that the dynamics of…

宇宙学与河外天体物理 · 物理学 2016-01-20 J. F. Jesus , F. Andrade-Oliveira

We compute the Bayesian Evidence for models considered in the main analysis of Planck cosmic microwave background data. By utilising carefully-defined nearest-neighbour distances in parameter space, we reuse the Monte Carlo Markov Chains…

宇宙学与河外天体物理 · 物理学 2017-09-13 Alan Heavens , Yabebal Fantaye , Elena Sellentin , Hans Eggers , Zafiirah Hosenie , Steve Kroon , Arrykrishna Mootoovaloo

We introduce a novel class of Bayesian mixtures for normal linear regression models which incorporates a further Gaussian random component for the distribution of the predictor variables. The proposed cluster-weighted model aims to…

统计方法学 · 统计学 2026-05-26 Panagiotis Papastamoulis , Konstantinos Perrakis

We propose Bayesian model averaging (BMA) as a method for postprocessing the results of model-based clustering. Given a number of competing models, appropriate model summaries are averaged, using the posterior model probabilities, instead…

统计计算 · 统计学 2015-07-01 Niamh Russell , Thomas Brendan Murphy , Adrian E Raftery

We construct high-precision models of the Universe that contain radiation, a cosmological constant, and periodically distributed inhomogeneous matter. The density contrasts in these models are allowed to be highly non-linear, and the…

广义相对论与量子宇宙学 · 物理学 2017-02-24 Viraj A. A. Sanghai , Timothy Clifton

We introduce a spatial averaging scheme and use it to study the evolution of spatial averages in large-scale simulations of cosmological structure formation performed with the Einstein Toolkit. The averages are performed on the spatial…

宇宙学与河外天体物理 · 物理学 2024-10-15 Alexander Oestreicher , Sofie Marie Koksbang

Data-driven model-independent reconstructions of the dark energy equation of state $w(z)$ are presented using Planck 2015 era CMB, BAO, SNIa and Lyman-$\alpha$ data. These reconstructions identify the $w(z)$ behaviour supported by the data…

宇宙学与河外天体物理 · 物理学 2017-01-26 S. Hee , J. A. Vázquez , W. J. Handley , M. P. Hobson , A. N. Lasenby

In this work, we first discuss the possibility that dark energy models with negative energy density values in the past can alleviate the $H_0$ tension, as well as the discrepancy with the baryon acoustic oscillation (BAO) Lyman-$\alpha$…

宇宙学与河外天体物理 · 物理学 2021-07-09 Giovanni Acquaviva , Ozgur Akarsu , Nihan Katirci , J. Alberto Vazquez

A persistent theme in the study of dark energy is the question of whether it really exists or not. It is often claimed hat we are mis-calculating the cosmological model by neglecting the effects associated with averaging over large-scale…

宇宙学与河外天体物理 · 物理学 2018-12-07 Julian Adamek , Chris Clarkson , David Daverio , Ruth Durrer , Martin Kunz

For many decades now, Bayesian Model Averaging (BMA) has been a popular framework to systematically account for model uncertainty that arises in situations when multiple competing models are available to describe the same or similar…

统计计算 · 统计学 2022-03-29 Vojtech Kejzlar , Shrijita Bhattacharya , Mookyong Son , Tapabrata Maiti