Benefits of Minimizing the Number of Discriminators Used in a Multivariate Analysis
نویسنده
چکیده
As particle physics experiments grow more complicated with each passing decade, so too do the analyses of data collected by these experiments. Multivariate analyses involving dozens of variables are not uncommon in this field. This note describes how the use of many variables in a multivariate analysis can actually degrade the ability to distinguish signal from background, rather than improve it. A method which can aid in reducing the number of variables to an optimal set of discriminators is also described.
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