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Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC
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 partitioning events into one
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