基于Python的PN结物理特性实验数据处理方法  

Data Processing Method of P-N Junction Physical Property Experiment Based on Python Language

作　　者：李奇 马晓波[1] 曹志杰 马玲[1] 杜全忠[1] 撒强 Li Qi;Ma Xiaobo;Cao Zhijie;Ma Ling;Du Quanzhong;Sa Qiang(School of Physics,Ningxia University,Yinchuan 750021,China)

机构地区：[1]宁夏大学物理学院,宁夏银川750021

出　　处：《宁夏大学学报（自然科学版）》2023年第3期272-274,281,共4页Journal of Ningxia University(Natural Science Edition)

基　　金：2019年第二批教育部产学合作协同育人基金资助项目(201902019027);2022年宁夏高等教育教学改革研究与实践基金资助项目(nxbjg-16);宁夏教育厅教学改革与实践基金资助项目(2022);宁夏大学第四批“课程思政”示范课程。

摘　　要：半导体PN结物理特性实验中的数据计算量大,如果使用普通计算器计算,不仅繁琐费时而且易引入误差.通过Python语言调用Numpy模块可实现对实验数据的多项式拟合,再通过Matplotlib模块可实现可视化绘图.结果表明,该方法能快速、准确处理实验数据,给出电流电压关系拟合曲线,对PN结实验数据的分析和处理有很好的辅助作用.The amount of data calculation in the physical characteristics experiment of semiconductor PN junction is large.It is not only cumbersome and time-consuming,but also easy to introduce errors if the ordinary calculator is used.The polynomial fitting of experimental data can be realized by calling Numpy module in Python language,and visual drawing can be realized by matplotlib module.The results show that this method can process the experimental data quickly and accurately,and give the fitting curve of current-voltage relationship,which has a good auxiliary effect on the analysis and processing of PN junction experimental data.

关 键 词：PYTHON语言 数据拟合 PN结物理特性实验 玻尔兹曼常数测定 

分 类 号：O4-39[理学—物理]