f(R)修正重力宇宙学的物质功率谱模拟器

Nesar Ramachandra, Georgios Valogiannis, M. Ishak, K. Heitmann
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引用次数: 14

摘要

测试超出广义相对论(GR)的可行宇宙学模型子集,以及与之相关的宇宙加速和暗能量的含义,是鲁宾天文台时空遗产调查(LSST)的范围内,也是其努力的一部分。与GR-w(z)CDM模型的偏差可以表现在结构和透镜的生长速度,以及非线性尺度上的筛选效应。我们通过对f(R) Hu-Sawicki修正重力(MG)候选模型进行COLA (commoving Lagrangian Acceleration)模拟,探讨了该模型预测的小尺度偏差的约束能力。我们提出了宇宙参数和跨红移的实验设计、数据生成和插值方案,用于模拟修正重力效应引起的功率谱中的升压。仿真器的三个初步应用突出了对宇宙学参数的敏感性,Fisher预测和马尔科夫链蒙特卡罗推理的基准宇宙学。这个模拟器将在未来的宇宙学分析中发挥重要作用,处理鲁宾天文台LSST预期的大量数据。
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Matter power spectrum emulator for f(R) modified gravity cosmologies
Testing a subset of viable cosmological models beyond General Relativity (GR), with implications for cosmic acceleration and the Dark Energy associated with it, is within the reach of Rubin Observatory Legacy Survey of Space and Time (LSST) and a part of its endeavor. Deviations from GR-w(z)CDM models can manifest in the growth rate of structure and lensing, as well as in screening effects on non-linear scales. We explore the constraining power of small-scale deviations predicted by the f(R) Hu-Sawicki Modified Gravity (MG) candidate, by emulating this model with COLA (COmoving Lagrangian Acceleration) simulations. We present the experimental design, data generation, and interpolation schemes in cosmological parameters and across redshifts for the emulation of the boost in the power spectra due to Modified Gravity effects. Three preliminary applications of the emulator highlight the sensitivity to cosmological parameters, Fisher forecasting and Markov Chain Monte Carlo inference for a fiducial cosmology. This emulator will play an important role for future cosmological analysis handling the formidable amount of data expected from Rubin Observatory LSST.
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