We describe a software package, TomOpt, developed to optimise the geometrical layout and specifications of detectors designed for tomography by scattering of cosmic-ray muons. The software exploits differentiable programming for the modeling of muon interactions with detectors and scanned volumes, the inference of volume properties, and the optimisation cycle performing the loss minimisation. In doing so, we provide the first demonstration of end-to-end-differentiable and inference-aware optimisation of particle physics instruments. We study the performance of the software on a relevant benchmark scenario and discuss its potential applications. Our code is available on Github.

翻译：本文介绍了一种名为TomOpt的软件包，该软件包旨在优化用于宇宙射线μ子散射断层扫描的探测器的几何布局与性能规格。该软件利用可微分编程对μ子与探测器及扫描体积的相互作用进行建模，推断体积属性，并执行损失最小化的优化循环。通过这一方法，我们首次实现了粒子物理仪器的端到端可微分且推理感知的优化。我们在相关基准场景下研究了该软件的性能，并讨论了其潜在应用。我们的代码已在Github上开源。