First measurement of the energy-energy correlator in the back-to-back limit using archived ALEPH e+e- data at 91.2 GeV

24 Sept 2024, 11:50
20m
DEJIMA MESSE NAGASAKI

DEJIMA MESSE NAGASAKI

4-1, Onouemachi, Nagasaki City, Nagasaki, 850-0058 Japan
Oral presentation 1. Jets modification and medium response Parallel Session 13

Speaker

Yu-Chen (Janice) Chen (Massachusetts Institute of Technology)

Description

Measurements of hard probes in $e^{+}e^{-}$ collision data are essential components of parallel studies of hard probes in proton-proton and heavy-ion collisions as $e^{+}e^{-}$ collisions offer a true reference for such systems free from any hadronic initial state effects. Recently, one class of hard-probe observables that has seen a resurgence of interest for studying vacuum QCD are the projected N-point energy correlation function (ENCs) of particles within jets. This is primarily due to a clear separation of scales these observables provide, which is useful for studying both perturbative and non-perturbative QCD in the collinear limit. An analogous class of observables can be used to study QCD in the back-to-back (Sudakov) limit, but in hadronic collisions, such studies have additional experimental difficulties. In this talk, we will discuss recent ENC measurements from Archived ALEPH $e^{+}e^{-}$ data taken at LEP at $\sqrt{s} = 91.2$ GeV spanning, for the first time, both the collinear to the back-to-back limit of QCD as well as the transition between these two regimes. These results can be used to extract a value of the strong coupling constant ($\alpha_{\rm s}$) in addition to performing precision tests of pQCD with generators. The ENCs prove to be highly discriminative observable when compared to models, with the different generators showing a large spread in their predictions.

Category Experiment
Collaboration ALEPH

Primary authors

Austin Alan Baty (University of Illinois Chicago) Christopher Mc Ginn (Massachusetts Inst. of Technology (US)) Gian Michele Innocenti (Massachusetts Inst. of Technology (US)) Hannah Bossi (Massachusetts Inst. of Technology (US)) Yen-Jie Lee (Massachusetts Inst. of Technology (US)) Ms Yi Chen (Vanderbilt University (US)) Yu-Chen (Janice) Chen (Massachusetts Institute of Technology)

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