Physical Review Letters · 2019 · 120 citations · 80 references
Natural SciencesPhysicsParticle PhysicsRadiation DetectionScientific VisualizationCollider PhysicsMetric GeometryParticle DetectorsCollider PhenomenologyHadron Collider PhysicsLepton Collider PhysicsRadiation Pattern AnalysisRadiation Pattern ShapingRadiation Pattern Theory
When are two collider events similar? Despite the simplicity and generality of this question, there is no established notion of the distance between two events. To address this question, we develop a metric for the space of collider events based on the earth mover's distance: the "work" required to rearrange the radiation pattern of one event into another. We expose interesting connections between this metric and the structure of infrared- and collinear-safe observables, providing a novel technique to quantify event modifications due to hadronization, pileup, and detector effects. We showcase how this metrization unlocks powerful new tools for analyzing and visualizing collider data without relying upon a choice of observables. More broadly, this framework paves the way for data-driven collider phenomenology without specialized observables or machine learning models.
80
Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text
Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations
Nearest neighbor pattern classification
Thomas M. Cover, Peter E. Hart · IEEE Transactions on Information Theory · 1967 · 16.1K citations
The anti-<i>k</i><sub><i>t</i></sub>jet clustering algorithm
Journal of High Energy Physics · 2008 · 6.2K citations · Full text
Computing, Astronomy, Algorithms +2
Torbjörn Sjöstrand, Stefan Ask, J. Christiansen et al. · Computer Physics Communications · 2015 · 5.2K citations · Full text