One trained convolutional network predicts bump significance across mass histograms of different sizes and backgrounds, approaching the accuracy of the ideal likelihood-ratio test.
Weinberg, Phys
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Automatizing the search for mass resonances using BumpNet
One trained convolutional network predicts bump significance across mass histograms of different sizes and backgrounds, approaching the accuracy of the ideal likelihood-ratio test.