The e-MANTIS emulator: fast predictions of the non-linear matter power spectrum in f(R)CDM cosmology

被引:7
|
作者
Saez-Casares, Inigo [1 ]
Rasera, Yann [1 ]
Li, Baojiu [2 ]
机构
[1] Univ Paris Cite, Univ PSL, Observ Paris, Lab Univers Theories,CNRS, F-92190 Meudon, France
[2] Univ Durham, Dept Phys, Inst Computat Cosmol, South Rd, Durham DH1 3LE, England
基金
欧洲研究理事会;
关键词
gravitation; methods: numerical; dark energy; dark matter; large-scale structure of Universe; cosmology: theory; MODIFIED-GRAVITY; INITIAL CONDITIONS; SIMULATIONS; CODE; II; RESOLUTION; PROJECT; DESIGN;
D O I
10.1093/mnras/stad3343
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
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 work, we release a new public emulator, dubbed E-MANTIS, that performs an accurate and fast interpolation between the predictions of f(R) modified gravity cosmological simulations, run with ECOSMOG. We sample a wide 3D parameter space given by the current background scalar field value 10(-7) < |f(R0)| < 10(-4), matter density 0.24 < Omega(m) < 0.39, and primordial power spectrum normalization 0.6 < sigma(8) < 1.0, with 110 points sampled from a Latin hypercube. For each model we perform pairs of f(R)CDM and Lambda CDM simulations covering an effective volume of (560 h(-1) Mpc)(3) with a mass resolution of similar to 2 x 10(10)h(-1) M-circle dot. We build an emulator for the matter power spectrum boost B(k) = P-f(R)(k)/P-Lambda CDM(k) using a Gaussian process regression method. The boost is mostly independent of h, n(s), and Omega(b), which reduces the dimensionality of the relevant cosmological parameter space. Additionally, it is more robust against statistical and systematic errors than the raw power spectrum, thus strongly reducing our computational needs. According to our dedicated study of numerical systematics, the resulting emulator has an estimated maximum error of 3 per cent across the whole cosmological parameter space, for scales 0.03 h Mpc(-1) < k < 7 h Mpc(-1), and redshifts 0 < z < 2, while in most cases the accuracy is better than 1 per cent. Such an emulator could be used to constrain f(R) gravity with weak lensing analyses.
引用
收藏
页码:7242 / 7262
页数:21
相关论文
共 30 条
  • [21] PkANN - I. Non-linear matter power spectrum interpolation through artificial neural networks
    Agarwal, Shankar
    Abdalla, Filipe B.
    Feldman, Hume A.
    Lahav, Ofer
    Thomas, Shaun A.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2012, 424 (02) : 1409 - 1418
  • [22] On the road to per cent accuracy - II. Calibration of the non-linear matter power spectrum for arbitrary cosmologies
    Giblin, Benjamin
    Cataneo, Matteo
    Moews, Ben
    Heymans, Catherine
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2019, 490 (04) : 4826 - 4840
  • [23] SP(k) - a hydrodynamical simulation-based model for the impact of baryon physics on the non-linear matter power spectrum
    Salcido, Jaime
    McCarthy, Ian G.
    Kwan, Juliana
    Upadhye, Amol
    Font, Andreea S.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2023, 523 (02) : 2247 - 2262
  • [24] Cosmological gravity on all scales. Part III. Non-linear matter power spectrum in phenomenological modified gravity
    Srinivasan, Sankarshana
    Thomas, Daniel B.
    Battye, Richard
    JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2024, (03):
  • [25] Imprints of dark energy on cosmic structure formation - I. Realistic quintessence models and the non-linear matter power spectrum
    Alimi, J-M.
    Fuzfa, A.
    Boucher, V.
    Rasera, Y.
    Courtin, J.
    Corasaniti, P-S.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2010, 401 (02) : 775 - 790
  • [26] Non-linear damping of superimposed primordial oscillations on the matter power spectrum in galaxy surveys
    Ballardini, Mario
    Murgia, Riccardo
    Baldi, Marco
    Finelli, Fabio
    Viel, Matteo
    JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2020, (04):
  • [27] Halo model description of the non-linear dark matter power spectrum at k >> 1 Mpc-1
    Giocoli, Carlo
    Bartelmann, Matthias
    Sheth, Ravi K.
    Cacciato, Marcello
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2010, 408 (01) : 300 - 313
  • [28] It is not σ8: constraining the non-linear matter power spectrum with the Dark Energy Survey Year-5 supernova sample
    Shah, P.
    Davis, T. M.
    Vincenzi, M.
    Armstrong, P.
    Brout, D.
    Camilleri, R.
    Galbany, L.
    Gill, M. S. S.
    Huterer, D.
    Jeffrey, N.
    Lahav, O.
    Lee, J.
    Lidman, C.
    Moeller, A.
    Sullivan, M.
    Whiteway, L.
    Wiseman, P.
    Allam, S.
    Aguena, M.
    Annis, J.
    Blazek, J.
    Brooks, D.
    Rosell, A. Carnero
    Carretero, J.
    Conselice, C.
    da Costa, L. N.
    Pereira, M. E. S.
    Desai, S.
    Diehl, H. T.
    Doel, P.
    Everett, S.
    Ferrero, I
    Flaugher, B.
    Frieman, J.
    Garcia-Bellido, J.
    Gaztanaga, E.
    Giannini, G.
    Gruen, D.
    Gruendl, R. A.
    Gutierrez, G.
    Hinton, S. R.
    Hollowood, D. L.
    Honscheid, K.
    James, D. J.
    Lee, S.
    Marshall, J. L.
    Mena-Fernandez, J.
    Miquel, R.
    Palmese, A.
    Pieres, A.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2025, 537 (04) : 3814 - 3825
  • [29] pkann - II. A non-linear matter power spectrum interpolator developed using artificial neural networks
    Agarwal, Shankar
    Abdalla, Filipe B.
    Feldman, Hume A.
    Lahav, Ofer
    Thomas, Shaun A.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2014, 439 (02) : 2102 - 2121
  • [30] Non-linear corrections to the cosmological matter power spectrum and scale-dependent galaxy bias: implications for parameter estimation
    Hamann, Jan
    Hannestad, Steen
    Melchiorri, Alessandro
    Wong, Yvonne Y. Y.
    JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2008, (07):