Maximum linear matching: Intelligent and automatic wavelength calibration method

摘要

Wavelength calibration is a necessary means to ensure the normal operation of the spectrometer.rnIn general, calibration light sources that can emit fixed wavelength (such as mercury‐argon lamp)rnare utilized to generate spectral line on the linear array charge‐coupled device detector. Thus, it isrna prerequisite for wavelength calibration to match the pixel position of the well‐divided spectralrnline with light of different wavelength emitted by calibration light source correctly. In this paper,rnwe aim to present a method to make calibration procedure intelligent and automatic by machine.rnWe establish a pixel‐wavelength model based on bipartite graph and propose the maximum linearrnmatching (MLM) algorithm to find the correct set of pixel‐wavelength automatically. Meanwhile,rnwe calculate precision and recall to measure the effectiveness of MLM and analyze the practicalrnapplication of MLM by comparing it with conventional artificial methods. Experiments show thatrnthe autocalibration method based on MLM can calibrate many types of grating spectrometerrnmore accurately and more reliably. With MLM, we report 98.33% precision and 94.59% recallrnon 8 groups of experiments.