Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC
Aram Hayrapetyan, Vladimir Makarenko, Armen Tumasyan, Wolfgang Adam et autres
Abstract A novel solution is presented for the problem of estimating the backgrounds of a signal search using observed data while simultaneously maximizing the sensitivity of the search to the signal. The ‘ABCD method’ provides a reliable framework for background estimation by …
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Machine Learning Science and Technology