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通过卷积法和最小二乘法,处理Ga-Mo／HZSM-5催化剂上形成碳的XAES数据。同时,建立了光滑XAES数据点的数学模型。由碳的KVV俄歇光谱数据一阶(dN／dE)和二阶(d2N／dE2)导数结果表明,二阶导数光谱的特征峰能与碳的理论态密度关联,获得相关碳的精细结构信息与催化剂的性能相符。
The XAES data for the formation of carbon on the Ga-Mo / HZSM-5 catalyst were processed by the convolution method and the least square method. At the same time, a mathematical model of smooth XAES data points is established. The first derivative (dN / dE) and the second derivative (d2N / dE2) of the KVV Auger spectroscopy data show that the characteristic peaks of the second derivative spectrum can be correlated with the theoretical state density of carbon to obtain the fine structure information of the relevant carbon In line with the performance of the catalyst.