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相关论文: Generating Cosmological Gaussian Random Fields

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We investigate the information on cosmology contained in Gaussianised weak gravitational lensing convergence fields. Employing Box-Cox transformations to determine optimal transformations to Gaussianity, we develop analytical models for the…

宇宙学与河外天体物理 · 物理学 2015-03-19 B. Joachimi , A. N. Taylor , A. Kiessling

In this paper, we systematically study gravitational waves (GWs) produced by remote compact astrophysical sources. To describe such GWs properly, we introduce three scales, $\lambda, \; L_c$ and $L$, denoting, respectively, the typical…

宇宙学与河外天体物理 · 物理学 2021-06-30 Jared Fier , Xiongjun Fang , Bowen Li , Shinji Mukohyama , Anzhong Wang , Tao Zhu

Reconstructing cosmological initial conditions (ICs) from late-time observations is a difficult task, which relies on the use of computationally expensive simulators alongside sophisticated statistical methods to navigate multi-million…

宇宙学与河外天体物理 · 物理学 2024-10-22 Oleg Savchenko , Florian List , Guillermo Franco Abellán , Noemi Anau Montel , Christoph Weniger

We calculate the gravitational wave spectrum generated by sound waves during a cosmological phase transition, incorporating several advancements beyond the current state-of-the-art. Rather than relying on the bag model or similar…

高能物理 - 唯象学 · 物理学 2024-09-24 Chi Tian , Xiao Wang , Csaba Balázs

We calculate the full spectrum, as observed today, of the cosmological gravitational waves generated within a model based on loop quantum cosmology. It is assumed that the universe, after the transition to the classical regime, undergoes a…

广义相对论与量子宇宙学 · 物理学 2013-05-30 Paulo M. Sá , Alfredo B. Henriques

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 develop an algorithm for setting up initial Gaussian random density and velocity fields containing one or more peaks or dips, in an arbitrary cosmological scenario. The intention is to generate appropriate initial conditions for…

天体物理学 · 物理学 2015-06-24 Rien van de Weygaert , Edmund Bertschinger

Relativistic corrections to the evolution of structure can be used to test general relativity on cosmological scales. They are also a well-known systematic contamination in the search for a primordial non-Gaussian signal. We present a…

宇宙学与河外天体物理 · 物理学 2023-08-28 J. Adamek , J. Calles , T. Montandon , J. Noreña , C. Stahl

Reconstructing astrophysical and cosmological fields from observations is challenging. It requires accounting for non-linear transformations, mixing of spatial structure, and noise. In contrast, forward simulators that map fields to…

宇宙学与河外天体物理 · 物理学 2023-11-01 Florian List , Noemi Anau Montel , Christoph Weniger

Cosmological probes pose an inverse problem where the measurement result is obtained through observations, and the objective is to infer values of model parameters which characterize the underlying physical system -- our Universe. Modern…

天体物理仪器与方法 · 物理学 2019-05-21 Timur Takhtaganov , Zarija Lukic , Juliane Mueller , Dmitriy Morozov

A generator of spatio-temporal pseudo-random Gaussian fields that satisfy the "proportionality of scales" property (Tsyroulnikov, 2001) is presented. The generator is based on a third-order in time stochastic differential equation with a…

数据分析、统计与概率 · 物理学 2018-05-15 Michael Tsyrulnikov , Dmitry Gayfulin

We present GLASS, the Generator for Large Scale Structure, a new code for the simulation of galaxy surveys for cosmology, which iteratively builds a light cone with matter, galaxies, and weak gravitational lensing signals as a sequence of…

宇宙学与河外天体物理 · 物理学 2023-03-28 Nicolas Tessore , Arthur Loureiro , Benjamin Joachimi , Maximilian von Wietersheim-Kramsta , Niall Jeffrey

One way of recovering information about the initial conditions of the Universe is by measuring features of the cosmological density field which are preserved during gravitational evolution and galaxy formation. In this paper we study the…

天体物理学 · 物理学 2016-08-30 Rupert A. C. Croft , Enrique Gaztanaga

We introduce a novel class of algorithms, the ``spatially varying boost'', for generating dynamical field initial conditions with prescribed bulk velocities. Given (non-moving) initial field data, the algorithm generates new initial data…

计算物理 · 物理学 2025-07-01 Siyang Ling

We calculate the gravitational waves (GW) spectrum produced in various Early Universe scenarios from gauge field sources, thus generalizing earlier inflationary calculations to bouncing cosmologies. We consider generic couplings between the…

宇宙学与河外天体物理 · 物理学 2016-09-21 Ido Ben-Dayan

We demonstrate the capabilities of probabilistic diffusion models to reduce dramatically the computational cost of expensive hydrodynamical simulations to study the relationship between observable baryonic cosmological probes and dark…

宇宙学与河外天体物理 · 物理学 2026-01-22 Satvik Mishra , Roberto Trotta , Matteo Viel

We develop a field-level posterior for cosmological data by marginalizing over initial conditions and noise in a general forward model. While our focus is on large-scale structure data, the results generalize to any weakly non-Gaussian…

宇宙学与河外天体物理 · 物理学 2026-04-29 Massimo Pietroni , Fabian Schmidt

The production of a primordial stochastic gravitational-wave background by processes occuring in the early Universe is expected in a broad range of models. Observing this background would open a unique window onto the Universe's…

We present COSMIC BIRTH: COSMological Initial Conditions from Bayesian Inference Reconstructions with THeoretical models: an algorithm to reconstruct the primordial and evolved cosmic density fields from galaxy surveys on the light-cone.…

The mean spectrum and burst statistics of gravitational waves produced by a cosmological population of cosmic string loops are estimated using analytic approximations, calibrated with earlier simulations. Formulas are derived showing the…

天体物理学 · 物理学 2009-11-11 Craig J. Hogan