PROBABILISTIC-STATISTICAL METHODS FOR DETERMINING THE ADSORPTION PEAK DESCRIBED BY THE GAUSS FUNCTION

G. Abidova, Natig Aminov, О.S. Аvdyakovа
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Abstract

The paper reports probability-statistical methods of determination of adsorption peak described by the Gaussian function. The following are presented: diagram of peak determination on excess adsorption functions pertinent to some advance given threshold values; the particularities of the determination of the end peak. As a result, after finding of the extremum peak in accordance with methods on determination of the start point and the end point we obtain the inaccuracy G, three thresholds are set, i.e., 2G, 3G and 4G, respectively. If and when signal about presence of the end does not enter before moment 4G, that curve value in this moment is taken for the end peak. At arrival of the signal, corresponding to end peak for time less than 2  , device gives the signal on PC that he calculated the area on subroutine, taking into account merged spades (peaks). At the time of arrivals of the signal before importance of time 3  curve value is taken for the end at moment 3  . In interval between 3  and 4  moments of the arrival the end is taken for true end. If and when signal about presence of end peak does not enter before moment 4  , that curve value in this moment is taken for the end peak. Greater accuracy of the determination end peak is obtained due to this introduction that accordingly enlarges accuracy of the processing to whole information range. Thus, we obtain greater accuracy of the determination of the end peak that accordingly enlarges accuracy of information handling at determination of adsorption peak described by Gaussian function.
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用高斯函数描述的测定吸附峰的概率统计方法
本文报道了用高斯函数描述吸附峰的概率统计测定方法。给出了以下图:与某些预先给定的阈值有关的过量吸附函数的峰测定图;末峰确定的特殊性。因此,根据起点和终点的确定方法找到极值峰后,我们得到误差G,设置三个阈值,分别为2G、3G和4G。如果在第4G时刻之前没有进入终点存在的信号,则取该时刻的曲线值作为终点峰值。在信号到达时,对应于时间小于2个周期的结束峰,设备在PC上给出他在子程序上计算面积的信号,考虑合并的黑桃(峰)。在信号到达时的重要性前3时刻,取第3时刻的终点的曲线值。在到达的3和4之间的间隔中,终点被视为真正的终点。如果在第4个弯矩之前没有输入端峰存在的信号,则取该弯矩的曲线值作为端峰。由于该方法的引入,使得对整个信息范围的处理精度得到了提高。因此,我们获得了更高的确定终峰的准确性,从而提高了用高斯函数描述的测定吸附峰时信息处理的准确性。
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