Abstract
A neural network approach for the discrimination of LHC events according to their invariant-mass topology is presented. Results obtained by running the neural network over the LHC event samples of the EAST benchmark for\(H \to t\bar t \to e3j\) are shown. The neural network, once implemented on a dedicated neural micro-processor, can be used as part of the on-line trigger.
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Odorico, R. Event discrimination at LHC exploiting invariant mass topology. Z. Phys. C - Particles and Fields 71, 313–316 (1996). https://doi.org/10.1007/BF02906989
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DOI: https://doi.org/10.1007/BF02906989