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相关论文: A precise symbolic emulator of the linear matter p…

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Rapid and accurate evaluation of the nonlinear matter power spectrum, $P(k)$, as a function of cosmological parameters and redshift is of fundamental importance in cosmology. Analytic approximations provide an interpretable solution, yet…

宇宙学与河外天体物理 · 物理学 2024-06-24 Deaglan J. Bartlett , Benjamin D. Wandelt , Matteo Zennaro , Pedro G. Ferreira , Harry Desmond

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 an interpretable emulator for the linear matter power spectrum (MPS) in the standard cosmological model $\Lambda$CDM, constructed via a physics-informed symbolic regression framework. By combining domain knowledge with a machine…

宇宙学与河外天体物理 · 物理学 2026-03-12 J. Bayron Orjuela-Quintana , Domenico Sapone , Savvas Nesseris

The linear matter power spectrum is an essential ingredient in all theoretical models for interpreting large-scale-structure observables. Although Boltzmann codes such as CLASS or CAMB are very efficient at computing the linear spectrum,…

宇宙学与河外天体物理 · 物理学 2022-06-20 Giovanni Aricò , Raul E. Angulo , Matteo Zennaro

The 3D matter power spectrum, $P_{\delta}(k,z)$ is a fundamental quantity in the analysis of cosmological data such as large-scale structure, 21cm observations, and weak lensing. Existing computer models (Boltzmann codes) such as CLASS can…

宇宙学与河外天体物理 · 物理学 2021-11-09 Arrykrishna Mootoovaloo , Andrew H. Jaffe , Alan F. Heavens , Florent Leclercq

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

We use two subsets of 2000 and 1000 Quijote simulations to build two power spectrum emulators, allowing for fast computations of the non-linear matter power spectrum. The first emulator is built in terms of seven cosmological parameters:…

宇宙学与河外天体物理 · 物理学 2025-12-09 Andrei Lazanu

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…

We introduce an emulator approach to predict the non-linear matter power spectrum for broad classes of beyond-$\Lambda$CDM cosmologies, using only a suite of $\Lambda$CDM $N$-body simulations. By including a range of suitably modified…

宇宙学与河外天体物理 · 物理学 2019-10-02 Benjamin Giblin , Matteo Cataneo , Ben Moews , Catherine Heymans

Modern sky surveys are returning precision measurements of cosmological statistics such as weak lensing shear correlations, the distribution of galaxies, and cluster abundance. To fully exploit these observations, theorists must provide…

宇宙学与河外天体物理 · 物理学 2015-06-15 Katrin Heitmann , Earl Lawrence , Juliana Kwan , Salman Habib , David Higdon

In the near future, the China Space Station Telescope (CSST) will obtain unprecedented imaging and spectroscopic data. The statistical errors in the cosmological parameter constraints will be reduced significantly. The corresponding…

宇宙学与河外天体物理 · 物理学 2025-06-09 Zhao Chen , Yu Yu , Jiaxin Han , Y. P. Jing

We present methods for emulating the matter power spectrum by combining information from cosmological $N$-body simulations at different resolutions. An emulator allows estimation of simulation output by interpolating across the parameter…

宇宙学与河外天体物理 · 物理学 2021-11-17 Ming-Feng Ho , Simeon Bird , Christian R. Shelton

We present the BACCO project, a simulation framework specially designed to provide highly-accurate predictions for the distribution of mass, galaxies, and gas as a function of cosmological parameters. In this paper, we describe our main…

宇宙学与河外天体物理 · 物理学 2021-08-04 Raul E. Angulo , Matteo Zennaro , Sergio Contreras , Giovanni Aricò , Marcos Pellejero-Ibañez , Jens Stücker

We present an emulator suite for the one- and two-loop cold dark matter power spectrum from the Effective Field Theory of Large Scale Structures (EFTofLSS). Specifically, we emulate separately the various contributions to the one- and…

宇宙学与河外天体物理 · 物理学 2025-11-10 Despoina Farakou , Constantinos Skordis

The matter power spectrum $P(k)$ is one of the main quantities connecting observational and theoretical cosmology. Although for a fixed redshift this can be numerically computed very efficiently by Boltzmann solvers, an analytical…

宇宙学与河外天体物理 · 物理学 2024-04-08 J. Bayron Orjuela-Quintana , Savvas Nesseris , Domenico Sapone

Baryonic physics has a considerable impact on the distribution of matter in our Universe on scales probed by current and future cosmological surveys, acting as a key systematic in such analyses. We seek simple symbolic parametrisations for…

宇宙学与河外天体物理 · 物理学 2025-10-01 Lukas Kammerer , Deaglan J. Bartlett , Gabriel Kronberger , Harry Desmond , Pedro G. Ferreira

We propose a new approximated expression for non-linear Dark Matter power spectrum much beyond BAO scales. The proposed expression agrees with the result of N-body simulation with the accuracy better than 2 % up to k=1.0 [h/Mpc] and k=0.7…

广义相对论与量子宇宙学 · 物理学 2012-12-03 Naonori S. Sugiyama , Toshifumi Futamase

In order to probe modifications of gravity at cosmological scales, one needs accurate theoretical predictions. N-body simulations are required to explore the non-linear regime of structure formation but are very time consuming. In this…

宇宙学与河外天体物理 · 物理学 2024-10-24 Iñigo Sáez-Casares , Yann Rasera , Baojiu Li

Weak lensing surveys are often summarized by constraints on the derived parameter ${S_8\equiv\sigma_8\sqrt{\Omega_{\rm m}/0.3}}$, obscuring the rich scale and redshift information encoded in the data, and limiting our ability to identify…

宇宙学与河外天体物理 · 物理学 2026-01-08 Cyrille Doux , Tanvi Karwal

In this article, we argue that models based on machine learning (ML) can be very effective in estimating the non-linear matter power spectrum ($P(k)$). We employ the prediction ability of the supervised ML algorithms to build an estimator…

宇宙学与河外天体物理 · 物理学 2015-07-17 Irshad Mohammed , Janu Verma
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