论文标题
Pysidr：SID的Python事件重建
pySiDR: Python Event Reconstruction for SiD
论文作者
论文摘要
ILC社区中的事件重建通常依赖于一种快速编译的语言C ++中实现的算法。但是，Python软件包PYLCIO为LCIO文件中存储的跟踪器和热量计命中提供了完整的接口，从而开放了一种实现重建算法的可能性，它非常适合与清单理解一起构建的大量命中列表。 Python是一种解释的语言，可以用最小的代码执行复杂的任务，还允许与最近开发的强大机器学习工具无缝集成。我们讨论Pysidr，这是一个用于SID事件重建的Python软件包。
Event reconstruction in the ILC community has typically relied on algorithms implemented in C++, a fast compiled language. However, the Python package pyLCIO provides a full interface to tracker and calorimeter hits stored in LCIO files, opening up the possibility to implement reconstruction algorithms in a language uniquely well suited to working with large lists of hits built with list comprehensions. Python, an interpreted language which can perform complex tasks with minimal code, also allows seamless integration with powerful machine learning tools developed recently. We discuss pySiDR, a Python package for SiD event reconstruction.
