Energy peaks: A high energy physics outlook

Franceschini, Roberto

doi:10.1142/s0217732317300348

Cited by 1 publication

(1 citation statement)

References 57 publications

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“…There are also several sets of pedagogical lectures targeting newcomers in the field that focus on standard material (Han, 2005;Perelstein, 2011;Schwartz, 2018). A few other reviews, more limited in scope, have appeared as well, focusing on, for instance, energy peaks (Franceschini, 2017) or minimum invariant mass bounds (Barr, Khoo et al, 2011). The organization of the review is as follows.…”

Section: B Goal Scope and Organizationmentioning

confidence: 99%

Kinematic variables and feature engineering for particle phenomenology

Franceschini,

Kim,

Kong

et al. 2023

Rev. Mod. Phys.

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Kinematic variables play an important role in collider phenomenology, as they expedite discoveries of new particles by separating signal events from unwanted background events and allow for measurements of particle properties such as masses, couplings, and spins. For the past ten years, an enormous number of kinematic variables have been designed and proposed, primarily for the experiments at the CERN Large Hadron Collider, allowing for a drastic reduction of highdimensional experimental data to lower-dimensional observables, from which one can readily extract underlying features of phase space and develop better-optimized data-analysis strategies. Recent developments in the area of phase-space kinematics are reviewd, and new kinematic variables with important phenomenological implications and physics applications are summarized. Recently proposed analysis methods and techniques specifically designed to leverage new kinematic variables are also reviewed. As machine learning is currently percolating through many fields of particle physics, including collider phenomenology, the interconnection and mutual complementarity of kinematic variables and machine-learning techniques are discussed. Finally, the manner in which utilization of kinematic variables originally developed for colliders can be extended to other highenergy physics experiments, including neutrino experiments, is discussed.

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