Event discrimination at LHC exploiting invariant mass topology | Zendy

R. Odorico | Zendy

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Event discrimination at LHC exploiting invariant mass topology

Author(s) -

R. Odorico

Publication year - 1996

Publication title -

zeitschrift für physik c

Language(s) - English

Resource type - Journals

eISSN - 1431-5858

pISSN - 0170-9739

DOI - 10.1007/bf02906989

Subject(s) - large hadron collider , artificial neural network , invariant mass , invariant (physics) , topology (electrical circuits) , benchmark (surveying) , event (particle physics) , network topology , computer science , artificial intelligence , physics , particle physics , engineering , geography , cartography , electrical engineering , operating system , astrophysics , mathematical physics

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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