Euclid 准备：IX. EuclidEmulator2——考虑大质量中微子与自洽暗能量扰动的功率谱仿真
宇宙学与河外天体物理
2021-07-14 v1
摘要
我们提出 EuclidEmulator 的新更新版本（称为 EuclidEmulator2），一种快速且精确的物质功率谱非线性修正预测器。现可在 CDM 模型的八维参数空间中，于红移 到 之间、空间尺度 0.01 /Mpc 10 /Mpc 范围内支持百分级精度仿真。为达到此精度，我们改进了作为训练数据的底层 N 体模拟质量：（1）我们使用非暗物质成分（如大质量中微子、光子、暗能量与度规场）的自洽线性演化；（2）我们在所谓 N 体规范中执行模拟，使其能在广义相对论框架下解释结果；（3）我们基于成对固定初始条件在 1 (Gpc/) 体积盒子中运行超过 250 个含 粒子的高分辨率模拟；（4）我们提供分辨率修正，可作为后处理步骤应用于仿真结果，以大幅降低模拟中残余分辨率效应引起的小尺度系统偏差。我们发现引入动力学暗能量参数 显著增加了创建仿真器的复杂性与开销。EuclidEmulator2 的高保真度在针对 N 体模拟及 Halofit、HMCode 与 CosmicEmu 等替代快速预测器的多项比较中得到检验。针对 Euclid Flagship v2.0 模拟成功执行了盲测。与高分辨率仅暗物质模拟相比，EuclidEmulator2 仿真的非线性修正因子在 0.01 /Mpc 10 /Mpc 与 范围内精度达 1% 或更好。EuclidEmulator2 公开于 https://github.com/miknab/EuclidEmulator2 。
引用
@article{arxiv.2010.11288,
title = {Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations},
author = {Euclid Collaboration and M. Knabenhans and J. Stadel and D. Potter and J. Dakin and S. Hannestad and T. Tram and S. Marelli and A. Schneider and R. Teyssier and S. Andreon and N. Auricchio and C. Baccigalupi and A. Balaguera-Antolínez and M. Baldi and S. Bardelli and P. Battaglia and R. Bender and A. Biviano and C. Bodendorf and E. Bozzo and E. Branchini and M. Brescia and C. Burigana and R. Cabanac and S. Camera and V. Capobianco and A. Cappi and C. Carbone and J. Carretero and C. S. Carvalho and R. Casas and S. Casas and M. Castellano and G. Castignani and S. Cavuoti and R. Cledassou and C. Colodro-Conde and G. Congedo and C. J. Conselice and L. Conversi and Y. Copin and L. Corcione and J. Coupon and H. M. Courtois and A. Da Silva and S. de la Torre and D. Di Ferdinando and C. A. J. Duncan and X. Dupac and G. Fabbian and S. Farrens and P. G. Ferreira and F. Finelli and M. Frailis and E. Franceschi and S. Galeotta and B. Garilli and C. Giocoli and G. Gozaliasl and J. Graciá-Carpio and F. Grupp and L. Guzzo and W. Holmes and F. Hormuth and H. Israel and K. Jahnke and E. Keihanen and S. Kermiche and C. C. Kirkpatrick and B. Kubik and M. Kunz and H. Kurki-Suonio and S. Ligori and P. B. Lilje and I. Lloro and D. Maino and O. Marggraf and K. Markovic and N. Martinet and F. Marulli and R. Massey and N. Mauri and S. Maurogordato and E. Medinaceli and M. Meneghetti and B. Metcalf and G. Meylan and M. Moresco and B. Morin and L. Moscardini and E. Munari and C. Neissner and S. M. Niemi and C. Padilla and S. Paltani and F. Pasian and L. Patrizii and V. Pettorino and S. Pires and G. Polenta and M. Poncet and F. Raison and A. Renzi and J. Rhodes and G. Riccio and E. Romelli and M. Roncarelli and R. Saglia and A. G. Sánchez and D. Sapone and P. Schneider and V. Scottez and A. Secroun and S. Serrano and C. Sirignano and G. Sirri and L. Stanco and F. Sureau and P. Tallada Crespí and A. N. Taylor and M. Tenti and I. Tereno and R. Toledo-Moreo and F. Torradeflot and L. Valenziano and J. Valiviita and T. Vassallo and M. Viel and Y. Wang and N. Welikala and L. Whittaker and A. Zacchei and E. Zucca},
journal= {arXiv preprint arXiv:2010.11288},
year = {2021}
}
备注
28 pages, 19 figures, submitted to MNRAS