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Accurate Simulation of Neutrons in Less Than One Minute Pt. 2: Sandman—GPU-Accelerated Adjoint Monte-Carlo Sampled Acceptance Diagrams

机译:精确模拟中子在不到一分钟的pt中。 2:Sandman-GPU加速伴进Monte-Carlo采样验收图

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A computational method in the modelling of neutron beams is described that blends neutron acceptance diagrams, GPU-based Monte-Carlo sampling, and a Bayesian approach to efficiency. The resulting code reaches orders of magnitude improvement in performance relative to existing methods. For example, data rates similar to world-leading, real instruments can be achieved on a 2017 laptop, generating 10 6 neutrons per second at the sample position of a high-resolution small angle scattering instrument. The method is benchmarked, and is shown to be in agreement with previous work. Finally, the method is demonstrated on a mature instrument design, where a sub-second turnaround in an interactive simulation process allows the rapid exploration of a wide range of options. This results in a doubling of the design performance, at the same time as reducing the hardware cost by 40%.
机译:描述了中子束建模中的计算方法,其中混合中子验收图,基于GPU的Monte-Carlo采样和贝叶斯效率的方法。 结果代码达到了相对于现有方法性能的大小提高的顺序。 例如,类似于世界领先的数据速率,可以在2017年的笔记本电脑上实现,每秒在高分辨率小角度散射仪的样本位置产生10 6个中子。 该方法是基准测试,并与以前的工作达成协议。 最后,在成熟的仪器设计上证明了该方法,其中交互式仿真过程中的子第二转变允许快速探索各种选项。 这导致设计性能加倍,同时降低硬件成本40%。

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