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arXiv 2203.12866hep-phastro-ph.HEphysics.comp-ph
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COSE $ν$:中微子集体振荡模拟引擎

COSE$ν$: A Collective Oscillation Simulation Engine for Neutrinos

Manu George, Chun-Yu Lin, Meng-Ru Wu, Tony G. Liu, Zewei Xiong

摘要:

我们介绍的模拟代码\cosenu,数值求解一组非线性偏微分方程的中微子集体味转换的动力学的实现细节。系统地介绍了Kreiss-Oliger耗散支持的有限差分方法和七阶加权本质无振荡格式的有限体积方法。为了确保代码的可靠性,我们执行的模拟结果与理论上可获得的解决方案的比较。为了理解和表征中微子自相互作用开启时实现的误差累积行为,我们还分析了不同模拟参数值下守恒量偏差的演化。我们报告了我们的代码在CPU和GPU上的性能。\cosenu ~包的公共版本可在\url{https://github.com/COSEnu/COSEnu}上获得。

英文摘要:

We introduce the implementation details of the simulation code \cosenu, which numerically solves a set of non-linear partial differential equations that govern the dynamics of neutrino collective flavor conversions. We systematically provide the details of both the finite difference method supported by Kreiss-Oliger dissipation and the finite volume method with seventh order weighted essentially non-oscillatory scheme. To ensure the reliability of the code, we perform the comparison of the simulation results with theoretically obtainable solutions. In order to understand and characterize the error accumulation behavior of the implementations when neutrino self-interactions are switched on, we also analyze the evolution of the deviation of the conserved quantities for different values of simulation parameters. We report the performance of our code with both CPUs and GPUs. The public version of the \cosenu~package is available at \url{https://github.com/COSEnu/COSEnu}.

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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