使用Geant4对NewAthena WFI背景的高统计量模拟
High-statistics simulations of NewAthena WFI background using Geant4
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中文总结 AI 辅助
针对NewAthena WFI的背景问题，采用Geant4结合真实与简单几何模型开展高统计量模拟，利用HPC资源提升效率，成果可推广至其他X射线任务。
中文摘要 AI 辅助
观测热气体结构是欧洲空间局（ESA）NewAthena X射线望远镜上广角成像仪（WFI）的科学目标之一。由于对这些暗弱弥散源的测量受仪器内宇宙射线粒子相互作用产生的本底限制，因此理解并降低该本底至关重要。为此，我们采用双管齐下的方法，对详细的真实几何模型以及互补的简单几何模型开展高保真Geant4模拟：前者可揭示本底对仪器设计细节的微妙敏感性，后者支持快速迭代，有助于指导和理解大规模模拟。我们展示了如何利用高性能计算（HPC）资源同时实现高吞吐量和短结果周期，并讨论了近期成果，这些成果不仅适用于WFI，也适用于其他X射线任务。
英文摘要
The observation of hot gas structures is one science goal of the Wide Field Imager (WFI) on ESA's NewAthena X-ray observatory. Because the measurement of these faint diffuse sources is limited by background from cosmic ray particle interactions within the instrument, understanding and reducing this background is critical. To this end, we employ a two-pronged approach, performing high-fidelity Geant4 simulations on both detailed, realistic geometry models as well as complementary simple geometry models. The former can reveal subtle sensitivities of background to details of the instrument design. The latter allows for fast iteration, useful in guiding and understanding the larger simulations. We show how we leverage High Performance Computing (HPC) resources to achieve simultaneously high throughput and fast time to result. We discuss our recent results, which are applicable not only to WFI, but also other X-ray missions.
