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超越标准宇宙学的动态缩放模拟

Dynamic Zoom Simulations of structure formation beyond standard cosmology

Università di Bologna(博洛尼亚大学);INAF, Osservatorio di Astrofisica e Scienza dello Spazio di Bologna(意大利国家天体物理研究所博洛尼亚天文与空间科学观测站);INFN, Sezione di Bologna(意大利国家核物理研究所博洛尼亚分部);Kavli IPMU (WPI), UTIAS, The University of Tokyo(东京大学 Kavli宇宙粒子与宇宙学前沿研究所(WPI));Center for Data-Driven Discovery, Kavli IPMU (WPI), UTIAS, The University of Tokyo(东京大学 Kavli宇宙粒子与宇宙学前沿研究所数据驱动发现中心)

Riccardo Zangarelli, Marco Baldi, Federico Marinacci, Enrico Garaldi

AI总结:

本文提出动态缩放模拟方法,用于超越标准宇宙学的高分辨率大规模模拟,实现高效计算并提升数据解释能力。

摘要:

对当前和即将来临的宇宙学观测进行深入解释需要前所未有的大规模、高分辨率模拟,覆盖多种宇宙模型和参数。实现这些计算需求的模拟提出了关键的技术挑战。我们提出了动态缩放模拟(DZS)方法在超越ΛCDM模型中的实现,这是一种针对大规模模拟的性能增强技术,能够产生类似光锥的输出。该方法在非因果连接区域动态降低模拟的分辨率,从而节省计算资源而不影响光锥内的物理性质。我们在两个支持非标准宇宙学的先进代码中实现了DZS算法,即Arepo中的修正f(R)引力和Gadget4中的暗物质领域相互作用。我们通过比较有无DZS算法的运行结果,分析了分辨率、模拟体积和模型下的准确性和性能提升。我们的DZS在大多数情况下能够以约0.1%的精度重现光锥晕质量函数、天空投影质量图以及物质和弱引力透镜收敛功率谱。在性能方面,我们的测试模拟中DZS运行相比无DZS运行可节省高达50%的运行时间。对更大模拟体积的扩展表明,在当前最先进的分辨率水平上,性能提升可能进一步提高约20%。DZS算法在非标准模型中的验证表明,该技术可以实现成本效益高、大规模(>1 cGpc/h)的模拟,提供约束和解释未来数据所需的计算框架。

英文摘要:

(Abridged) A thorough interpretation of the current and upcoming generation of cosmological observations requires unprecedented large-scale, high-resolution simulations spanning multiple cosmological models and parameters. The realization of these computationally demanding simulations poses a crucial technical challenge. We present beyond - $Λ$CDM implementations of the Dynamic Zoom Simulations (DZS) method, a performance-enhancing technique tailored for large-scale simulations that produce lightcone-like outputs. This approach dynamically decreases the resolution of a simulation in the regions that are not in causal connection with the observer, saving computational resources without directly affecting the physical properties within the lightcone. We implemented the DZS algorithm in two state-of-the-art codes supporting non-standard cosmologies, namely modified $f(R)$ gravity in Arepo and dark sector interactions in Gadget4. We analyzed result accuracy and performance gains across resolution, simulation volume and model by comparing runs performed with and without the DZS algorithm. Our DZS reproduce the lightcone halo mass function, sky-projected massmaps, and matter and weak lensing convergence power spectra with an accuracy of $\simeq$ 0.1% or higher in most cases. In terms of performance, DZS runs in our test simulations can save up to $\sim$ 50% runtime compared to the non-DZS counterparts. A scaling to larger simulated volumes suggests that performance gains could improve by an additional $\sim$ 20% at the resolution levels of current state-of-the-art simulations. The validation of the DZS algorithm in non-standard models demonstrates that this technique can enable cost effective, large-scale ($\gtrsim$ 1 cGpc/h) simulations with state-of-the-art resolution, providing the computational framework needed to constrain and help the interpretation of forthcoming data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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