摘要
本文基于大数据分析思路,提出了在密立根油滴实验中一种优化的公约数数据处理方法,即最大概率比值法。该方法是将实验所得到的密立根油滴实验数据两两相比,并将比值接近整数比的数据提出,找出出现频次(概率)最大的公约数并取平均,在不使用元电荷公认值的情况下,得到最终的元电荷的实验值。这样,避免了人为因素对数据处理过程中的干扰,同时处理的数据量越大,越容易得到更为精确的数据处理结果。
Based on the path of big data analysis,this paper introduces an optimized data processing method of common divisor in Millikan oil-drop experiment,namely the maximum probability ratio method.Comparing the experimental data of Millikan oil-drop experiment,and putting forward the data whose ratio is close to the integer ratio,we can find out the greatest common number of occurrence frequency(probability)and take the average.The final experimental value of the elemental charge is obtained without using the accepted value of the elementary charge.Human factors on the data processing interference are avoided by the method.Moreover,the greater the amount of data are processed,the easier it is to get more accurate data processing results.
作者
亓东林
鲍祎楠
张师平
裴艺丽
王荣明
吴平
QI Donglin;BAO Yinan;ZHANG Shiping;PEI Yili;WANG Rongming;WU Ping(School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083;School of Mathematical Sciences,University of Science and Technology Beijing,Beijing 100083;Natural Science Laboratory,University of Science and Technology Beijing,Beijing 100083)
出处
《物理与工程》
2018年第6期91-94,99,共5页
Physics and Engineering
基金
教育部教学指导委员会2017年高等学校教学研究项目(DWJZW201701hb)
国家新工科研究与实践项目--近代物理和高新技术物理新进展与新工科建设
北京高等学校教育教学改革立项项目(2015-ms028)的资助
关键词
密立根油滴实验
数据处理
优化公约数法
Millikan oil-drop experiment
data processing
optimization of common divisor method
