Phenomenological Demonstration of Deep Neural Networks in the Search for BSM Physics w/ LArTPCs [Poster]
Abstract
Matrix Element Technique (ME). The NN analysis sets limits across a range of Higgs masses from 100 GeV/c{sup 2} to 150 GeV/c{sup 2}, with observed limits ranging from {sigma}(p{bar p} {yields} W{sup {+-}}H) x BR(H {yields} b{bar b}) < < 4.0 to 37.6 times the SM prediction and 5.3 x SM observed (4.0 expected) at M(H) = 115 GeV/c{sup 2}. The ME analysis sets limits with observed limits ranging from {sigma}(p{bar p} {yields} W{sup {+-}} H) x BR(H {yields} b{bar b}) < 4.5 to 48.8 times the SM prediction and 6.6 x SM observed (4.1 expected) at M(H) = 115 GeV/c{sup 2}. For the CDF combination we use two-jet events from NN analysis and three-jet events from ME analysis together with other CDF searches. We observe no excess in data and we calculate combined upper limits on the ratio of the Higgs boson cross section times the branching ratio to its SM prediction for Higgs boson masses between 100 and 200 GeV/c{sup 2}. The results are in good agreement with the expectations obtained from background-only pseudo-experiments. The observed (expected) 95% CL upper limit is 3.1 (2.4) higher than the SM production cross section for Higgs boson mass of 115 GeV/c{sup 2}.
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