On the road to per cent accuracy IV: ReACT - computing the non-linear power spectrum beyond ΛCDM

被引:41
|
作者
Bose, Benjamin [1 ]
Cataneo, Matteo [2 ]
Troester, Tilman [2 ]
Xia, Qianli [2 ]
Heymans, Catherine [2 ,3 ]
Lombriser, Lucas [1 ]
机构
[1] Univ Geneva, Dept Phys Theor, 24 Quai Ernest Ansermet, CH-1211 Geneva 4, Switzerland
[2] Univ Edinburgh, Inst Astron, Royal Observ, Blackford Hill, Edinburgh EH9 3HJ, Midlothian, Scotland
[3] Ruhr Univ Bochum, Astron Inst, German Ctr Cosmol Lensing GCCL, Univ Str 150, D-44801 Bochum, Germany
基金
瑞士国家科学基金会; 欧盟地平线“2020”; 欧洲研究理事会;
关键词
methods: analytical; large-scale structure of the Universe; cosmology: theory; COSMOLOGICAL PARAMETER CONSTRAINTS; MODIFIED GRAVITY; DARK-ENERGY; ELLIPSOIDAL COLLAPSE; GRAVITATIONAL-WAVES; HALO-MODEL; GALAXIES; DYNAMICS; CLUSTERS; DENSITY;
D O I
10.1093/mnras/staa2696
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
To effectively exploit large-scale structure surveys, we depend on accurate and reliable predictions of non-linear cosmological structure formation. Tools for efficient and comprehensive computational modelling are therefore essential to perform cosmological parameter inference analyses. We present the public software package ReACT, demonstrating its capability for the fast and accurate calculation of non-linear power spectra from non-standard physics. We showcase ReACT through a series of analyses on the DGP and f(R) gravity models, adopting LSST-like cosmic shear power spectra. Accurate non-linear modelling with ReACT has the potential to more than double LSST's constraining power on the f(R) parameter, in contrast to an analysis that is limited to the quasi-linear regime. We find that ReACT is sufficiently robust for the inference of consistent constraints on theories beyond Lambda CDM for current and ongoing surveys. With further improvement, particularly in terms of the accuracy of the non-linear Lambda CDM power spectrum, ReACT can, in principle, meet the accuracy requirements for future surveys such as Euclid and LSST.
引用
收藏
页码:4650 / 4662
页数:13
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