Signal mixture estimation for degenerate heavy Higgses using a deep neural network

Abstract If a new signal is established in future LHC data, a next question will be to determine the signal composition, in particular whether the signal is due to multiple near-degenerate states. We investigate the performance of a deep learning approach to signal mixture estimation for the challen...

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Bibliographic Details
Main Authors: Anders Kvellestad, Steffen Maeland, Inga Strümke
Format: Article
Language:English
Published: SpringerOpen 2018-12-01
Series:European Physical Journal C: Particles and Fields
Online Access:http://link.springer.com/article/10.1140/epjc/s10052-018-6455-z