The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning

The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning

Abstract A key research question at the Large Hadron Collider is the test of models of new physics. Testing if a particular parameter set of such a model is excluded by LHC data is a challenge: it requires time consuming generation of scattering events, simulation of the detector response, event rec...

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Bibliographic Details
Main Authors: Sascha Caron, Jong Soo Kim, Krzysztof Rolbiecki, Roberto Ruiz de Austri, Bob Stienen
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:European Physical Journal C: Particles and Fields
Subjects:
Dark Matter
Higgs Boson
Large Hadron Collider
Receiver Operating Characteristic Curve
Monte Carlo
Online Access:http://link.springer.com/article/10.1140/epjc/s10052-017-4814-9

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http://link.springer.com/article/10.1140/epjc/s10052-017-4814-9

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