qspec Python包:用于激光光谱学的物理工具箱

IF 7.2 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
P. Müller , W. Nörtershäuser
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引用次数: 0

摘要

用Python分析实验结果通常需要编写许多代码脚本,这些脚本都需要访问同一组函数。在一个共同的研究领域,这个集合对于许多用户来说几乎是相同的。开发qspec Python包是为了提供在激光光谱学和相关领域广泛使用的物理公式、模拟和数据分析例程的函数。大多数函数与numpy数组兼容,支持对大样本数据进行快速计算。多维线性回归算法支持对多个原子跃迁进行King图分析。构建线形模型的模块化框架可用于拟合大量光谱数据集。包中的模拟模块提供了用户友好的方法来模拟电磁场中原子的相干时间演化,而不需要显式地推导哈密顿量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The qspec Python package: A physics toolbox for laser spectroscopy
The analysis of experimental results with Python often requires writing many code scripts which all need access to the same set of functions. In a common field of research, this set will be nearly the same for many users. The qspec Python package was developed to provide functions for physical formulas, simulations and data analysis routines widely used in laser spectroscopy and related fields. Most functions are compatible with numpy arrays, enabling fast calculations with large samples of data. A multidimensional linear regression algorithm enables a King plot analyses over multiple atomic transitions. A modular framework for constructing lineshape models can be used to fit large sets of spectroscopy data. A simulation module within the package provides user-friendly methods to simulate the coherent time-evolution of atoms in electromagnetic fields without the need to explicitly derive a Hamiltonian.
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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