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We present and test a method for modifying the catalogue of dark matter haloes produced from a given cosmological simulation, so that it resembles the result of a simulation with an entirely different set of parameters. This extends the…

宇宙学与河外天体物理 · 物理学 2014-12-02 Alexander Mead , John Peacock

The halo model formalism is widely adopted in cosmological studies for predicting the growth of large-scale structure in the Universe. However, to date there have been relatively few direct comparisons of the halo model with more accurate…

宇宙学与河外天体物理 · 物理学 2021-10-13 Alberto Acuto , Ian G. McCarthy , Juliana Kwan , Jaime Salcido , Sam G. Stafford , Andreea S. Font

I present a large set of high resolution simulations, called CosmicGrowth Simulations, which were generated with either 8.6 billion or 29 billion particles. As the nominal cosmological model that can match nearly all observations on…

宇宙学与河外天体物理 · 物理学 2018-08-28 Y. P. Jing

The mass distribution of halos, as specified by the halo mass function, is a key input for several cosmological probes. The sizes of $N$-body simulations are now such that, for the most part, results need no longer be statistics-limited,…

宇宙学与河外天体物理 · 物理学 2015-05-19 Suman Bhattacharya , Katrin Heitmann , Martin White , Zarija Lukić , Christian Wagner , Salman Habib

We introduce a new cosmic emulator for the matter power spectrum covering eight cosmological parameters. Targeted at optical surveys, the emulator provides accurate predictions out to a wavenumber k~5/Mpc and redshift z<=2. Besides covering…

An accurate theoretical template for the galaxy power spectrum is a key for the success of ongoing and future spectroscopic surveys. We examine to what extent the Effective Field Theory of Large Scale Structure is able to provide such a…

We present Goku, a suite of cosmological $N$-body simulations, and the corresponding 10-dimensional emulator, GokuEmu, for the nonlinear matter power spectrum. The simulations span the base parameters of $\Lambda$ Cold Dark Matter…

宇宙学与河外天体物理 · 物理学 2025-04-14 Yanhui Yang , Simeon Bird , Ming-Feng Ho

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 present a new method that simultaneously solves for cosmology and galaxy bias on non-linear scales. The method uses the halo model to analytically describe the (non-linear) matter distribution, and the conditional luminosity function…

宇宙学与河外天体物理 · 物理学 2015-06-05 Frank van den Bosch , Surhud More , Marcello Cacciato , Houjun Mo , Xiaohu Yang

Precision measurements of the large scale structure of the Universe require large numbers of high fidelity mock catalogs to accurately assess, and account for, the presence of systematic effects. We introduce and test a scheme for…

宇宙学与河外天体物理 · 物理学 2016-06-01 Tomomi Sunayama , Nikhil Padmanabhan , Katrin Heitmann , Salman Habib , Esteban Rangel

In cosmology, emulators play a crucial role by providing fast and accurate predictions of complex physical models, enabling efficient exploration of high-dimensional parameter spaces that would be computationally prohibitive with direct…

宇宙学与河外天体物理 · 物理学 2026-04-10 Deaglan J. Bartlett , Shivam Pandey

We present a method for generating suites of dark-matter halo catalogs with only a few $N$-body simulations, focusing on making small changes to the underlying cosmology of a simulation with high precision. In the context of blind…

宇宙学与河外天体物理 · 物理学 2019-03-26 Lehman H. Garrison , Daniel J. Eisenstein

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

The rapidly growing statistical precision of galaxy surveys has lead to a need for ever-more precise predictions of the observables used to constrain cosmological and galaxy formation models. The primary avenue through which such…

We develop and test an algorithm to rescale a simulated dark-matter particle distribution or halo catalogue from a standard gravity model to that of a modified gravity model. This method is based on that of Angulo & White but with some…

宇宙学与河外天体物理 · 物理学 2015-08-18 Alexander Mead , John Peacock , Lucas Lombriser , Baojiu Li

The calibration and validation of scientific analysis in simulations is a fundamental tool to ensure unbiased and robust results in observational cosmology. In particular, mock galaxy catalogs are a crucial resource to achieve these goals…

We describe cosmological simulation techniques and their application to studies of cosmic structure formation, with particular attention to recent hydrodynamic simulations of structure in the high redshift universe. Collisionless N-body…

天体物理学 · 物理学 2008-02-03 David H. Weinberg , Neal Katz , Lars Hernquist

An accurate theoretical template of the redshift-space galaxy power spectrum, if applicable out to nonlinear scales, enables us to extract more stringent and robust constraints on cosmological parameters from the measured galaxy clustering.…

宇宙学与河外天体物理 · 物理学 2020-10-20 Yosuke Kobayashi , Takahiro Nishimichi , Masahiro Takada , Ryuichi Takahashi , Ken Osato

Cosmological surveys aim to use the evolution of the abundance of galaxy clusters to accurately constrain the cosmological model. In the context of LCDM, we show that it is possible to achieve the required percent level accuracy in the halo…

宇宙学与河外天体物理 · 物理学 2015-06-05 Darren S. Reed , Robert E. Smith , Doug Potter , Aurel Schneider , Joachim Stadel , Ben Moore

Markov Chain Monte Carlo (MCMC) techniques are now widely used for cosmological parameter estimation. Chains are generated to sample the posterior probability distribution obtained following the Bayesian approach. An important issue is how…

天体物理学 · 物理学 2009-11-10 Joanna Dunkley , Martin Bucher , Pedro G. Ferreira , Kavilan Moodley , Constantinos Skordis