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Automated Partial Pressure Estimates from QMA Data

机译:根据QMA数据自动估算分压

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A Partial Pressure Analyzer (PPA) is the most commonly used instrument to measure the partial pressures of residual gases in any vacuum system. Since, the output of the PPA is a mass spectrum and not the partial pressures of the residual gases, one needs to adopt some procedure to convert the spectrum to obtain the partial pressures. The conventional method of analysis is tedious and time consuming. For each gas species present in the system, one needs to identify a peak in the spectrum which is not due to any other gas species present in the system. This is always not possible and even when possible, makes the procedure complicated. We propose a new approach based on constructing a set of linear equations and solving them using matrix operations. This is a simple method compared to the conventional one and also eliminates the limitations of the conventional method. A Fortran program has been developed which identifies the likely gases present in the vacuum system and calculates their partial pressures from the data of the residual gas analyzers. Application of this method of calculating partial pressures from mass spectra data obtained with a Quadrupole Mass Analyzer (QMA) installed on a vacuum furnace will be discussed in this paper.
机译:分压分析仪(PPA)是最常用的仪器,用于测量任何真空系统中残留气体的分压。由于PPA的输出是质谱图,而不是残余气体的分压,因此需要采用某种程序来转换光谱以获得分压。传统的分析方法既繁琐又费时。对于系统中存在的每种气体,都需要确定光谱中的一个峰,该峰不是由于系统中存在任何其他气体而引起的。这始终是不可能的,即使可能,也会使过程变得复杂。我们提出了一种新方法,该方法基于构造一组线性方程并使用矩阵运算来求解它们。与常规方法相比,这是一种简单的方法,并且消除了常规方法的局限性。已开发出一个Fortran程序,该程序可识别真空系统中可能存在的气体,并根据残留气体分析仪的数据计算出它们的分压。本文将讨论这种方法的应用,该方法是通过使用安装在真空炉上的四极杆质量分析器(QMA)从质谱数据获得的分压来进行计算的。

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