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作 者:潘高威 史晋芳[1,2] 邱荣[1] 王慧丽[1] 万情 张志威 王凯[1] PAN Gaowei;SHI Jinfang;QIU Rong;WANG Huili;WAN Qing;ZHANG Zhiwei;WANG Kai(Joint Laboratory for Extreme Conditions Matter Properties,Southwest University of Science and Technology,Mianyang 621010,China;School of Manufacturing Science and Engineering,Southwest University of Science and Technology,Mianyang 621010,China;Teaching and Research Assurance Center,Army Logistics University of PLA,Chongqing 401331,China)
机构地区:[1]西南科技大学极端条件物质特性联合实验室,四川绵阳621010 [2]西南科技大学制造科学与工程学院,四川绵阳621010 [3]陆军勤务学院教研保障中心,重庆401331
出 处:《应用光学》2022年第3期538-543,共6页Journal of Applied Optics
基 金:中国科学院光谱成像技术重点实验室基金项目(LSIT202001W)。
摘 要:针对激光诱导击穿光谱(laser-induced breakdown spectroscopy,LIBS)数据中存在的周期性拱形突起问题,提出了一种改进的基线校正算法。该算法基于惩罚最小二乘方法,通过改变局部惩罚系数,使其在拟合周期性拱形突起的同时降低谱线强度对拟合基线的影响。与其他基线校正方法相比,该算法在拟合仿真基线时的均方根误差更小,并且基于该算法得到光谱数据绘制的定标曲线的相关系数达到了0.9972。结果表明:该算法相较于现有的去基线方法,在拟合中阶梯光栅光谱仪采集激光诱导击穿光谱的基线时,能更好地保留光谱数据的有效信息。Aiming at the problem of periodic arch protrusion in laser-induced breakdown spectroscopy(LIBS)data,an improved baseline correction algorithm was proposed.By adjusting the local penalty coefficients,the algorithm which was based on penalized least square method could not only fit the periodic arch protrusion,but also reduce the effect of spectral lines intensity on fitting baseline.Compared with other baseline correction methods,the root-mean-square error(RMSE)of the proposed algorithm was smaller when fitting the simulation baseline,and the correlation coefficients of the calibration curve based on spectral data obtained by the proposed algorithm reached 0.9972.The results show that compared with the existing baseline removal method,the proposed algorithm can better retain the effective information of the spectral data when the echelle grating spectrometer collecting the baseline of LIBS.
关 键 词:中阶梯光栅光谱仪 基线校正 惩罚最小二乘法 激光诱导击穿光谱
分 类 号:TN241[电子电信—物理电子学] O433.4[机械工程—光学工程]
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