论文标题
STCF脱机数据处理的核心软件的设计和开发
Design and Development of the Core Software for STCF Offline Data Processing
论文作者
论文摘要
Super Tau魅力设施（STCF）是一个提议的电子 - 尖头撞机撞机，在$ \ sqrt {s} = 2 \ sim 7 $ GEV工作，峰值光度设计为高于$ 0.5 \ times 10^{35} {35} cm^{-2} cm^{-2} s^{ - 1} s^{ - 1} $。大量的科学数据给离线数据处理软件带来了巨大挑战，包括蒙特卡洛模拟，校准，重建以及数据分析。为了促进有效的离线数据处理，基于Sniper（一个用于HEP实验设计的轻量级框架）以及HEP社区中的一些最先进的软件，例如Podio和DD4HEP等HEP社区中的一些最先进的软件。 本文介绍了奥斯卡核心软件的设计和实施，该软件为开发复杂算法的开发提供了基础，该算法将应用于STCF生产的大型数据集，尤其是将共同的HEP软件工具包（例如Geant4，dd4hep和podio）集成到狙击中的大型数据集。该软件框架还为其他轻型HEP实验提供了潜在的解决方案。
The Super Tau Charm Facility (STCF) is a proposed electron-positron collider working at $\sqrt{s}=2\sim 7$ GeV, and the peak luminosity is designed to be above $0.5 \times 10^{35}cm^{-2}s^{-1}$. The huge amount of scientific data brings great challenges to the offline data processing software, including the Monte Carlo simulation, calibration, reconstruction as well as the data analysis. To facilitate efficient offline data processing, the offline software of Super Tau Charm Facility (OSCAR) is developed based on SNiPER, a lightweight framework designed for HEP experiments, as well as a few state-of-art software in the HEP community, such as podio and DD4hep. This paper describes the design and implementation of the core software of the OSCAR, which provides the foundation for the development of complex algorithms to be applied on the large data sets produced by STCF, particularly the way to integrate the common HEP software toolkits, such as Geant4, DD4hep and podio, into SNiPER. The software framework also provides a potential solution for other lightweight HEP experiments as well.
