Custom Orthogonal Weight functions (COWs) for event classification
نویسندگان
چکیده
A common problem in data analysis is the separation of signal and background. We revisit generalise so-called $sWeights$ method, which allows one to calculate an empirical estimate density a control variable using fit mixed background model discriminating variable. show that are special case larger class Custom Orthogonal Weight functions (COWs), can be applied more general problems variables not necessarily independent still achieve close optimal performance. also investigate properties parameters estimated from fits statistical models provide closed formulas for asymptotic covariance matrix fitted parameters. To illustrate our findings, we discuss several practical applications these techniques.
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ژورنال
عنوان ژورنال: Nuclear Instruments and Methods in Physics Research
سال: 2022
ISSN: ['1872-9576', '0168-9002']
DOI: https://doi.org/10.1016/j.nima.2022.167270