借助Python提高迈克尔逊干涉仪测光波波长实验数据的处理精度与图像可视化  

Improving the Processing Accuracy of Experimental Data of Michelson Interferometer Light Wavelength Measurement with Python and Image Visualization

作　　者：潘乘风 牛相宏 张红光[1] 陈伟[1] PAN Chengfeng;NIU Xianghong;ZHANG hongguang;CHEN Wei(School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]南京邮电大学理学院,江苏南京210023

出　　处：《大学物理实验》2023年第5期81-85,共5页Physical Experiment of College

基　　金：教育部产学研协同育人项目(220506281094008);21省教改(711);南京邮电大学教学改革研究项目(JG00721JX99)。

摘　　要：在现代“大学物理实验”课程中,如何正确处理实验数据是非常重要的一个步骤,利用软件处理相对复杂的实验数据往往可以使得结果更加精确。Python作为一种应用广泛的计算机编程语言,在物理实验中的应用却相对少见。以迈克尔逊干涉仪实验为例,详细论述了如何利用Python语言实现数据处理,并且和传统方法处理数据得到的结果进行对比,结果表明利用Python语言处理得到的结果的相对误差为2.72%,小于逐差法计算得到的3.67%。此外,通过Python仿真实现了干涉圆环的可视化图像,有助于加深对实验本质的理解。因此,借助Python语言处理大学物理实验数据值得进一步地研究与推广。In modern college physics experiments,how to correctly process experimental data is a crucial step,and using software to process relatively complex experimental data can often make the results more accurate.Python is the most widely used computer programming language,but its application in physics experiments is relatively rare.Taking the Michelson interferometer experiment as an example,we discuss in detail how to use Python to achieve data processing,and compare the results obtained by processing data with traditional methods.The results show that the accuracy of the relevant parameters obtained by using Python is higher.In addition,visualization images of interference circles are achieved through Python simulation,which helps to deepen the understanding of the essence of the experiment.Therefore,using Python to process college physics experimental data is worth further research and promotion.

关 键 词：大学物理实验 数据处理 PYTHON 可视化 

分 类 号：O4-33[理学—物理]