337 citations · 5.7k across the 125 of their papers we have counts for
4 papers · 1 filter
Predicting the Neutrino Mass Ordering Using Neural Networks
T. J. C. Bezerra, L. Asquith, E. Bannister +1
Determining the neutrino mass ordering remains a central open problem in particle physics. While next-generation long-baseline experiments are expected to resolve this question, cu…
Synergies and Prospects for Early Resolution of the Neutrino Mass Ordering
Anatael Cabrera, Yang Han, Michel Obolensky +23
The measurement of neutrino Mass Ordering (MO) is a fundamental element for the understanding of leptonic flavour sector of the Standard Model of Particle Physics. Its determinatio…
Towards an Understanding of the Correlations in Jet Substructure
D. Adams, A. Arce, L. Asquith +83
Over the past decade, a large number of jet substructure observables have been proposed in the literature, and explored at the LHC experiments. Such observables attempt to utilize…
Jet Substructure at the Tevatron and LHC: New results, new tools, new benchmarks
A. Altheimer, S. Arora, L. Asquith +68
In this report we review recent theoretical progress and the latest experimental results in jet substructure from the Tevatron and the LHC. We review the status of and outlook for…