SATLAS2: An update to the package for analysis of counting data

SATLAS2 is a Python library that enables the user to fit counting data from laser spectroscopy experiments, in particular those that measure atomic hyperfine structures. In this analysis, the user can choose how the uncertainties are treated and can also opt to generate a random walk in order to present a fuller picture of the parameter space. The major upgrade compared to the previous version of SATLAS [1] is the different architecture of the codebase, which enabled a performance boost, with speed-up factors ranging from 20 to 300 times for various use cases. For backward compatibility, a translation layer between the two architectures is available, implementing only the core functionality of SATLAS.

SATLAS2 是一款 Python 库，可用于拟合激光光谱实验（尤其是用于测量原子超精细结构的实验）中的计数数据。在该分析流程中，用户可自主选择不确定度的处理方式，还可选择生成随机游走，以更全面地呈现参数空间的全貌。相较于此前的 SATLAS 版本[1]，其主要升级在于代码库架构的革新，这使得性能得到显著提升，在不同应用场景下的加速比可达 20 至 300 倍。为保障向后兼容性，该库提供了两种架构间的转换层，仅实现 SATLAS 的核心功能。