Anti-$k_T$ jet spectra measurement for small- and large-size jets up to R = 1.2 using $e^+e^-$ collisions at 91.2 GeV with the ALEPH archived data

23 Jun 2026, 19:40
20m
Garland 064

Garland 064

Poster presentation Poster session

Speaker

Shuangyi Zhou (Vanderbilt University)

Description

Many modern jet clustering algorithms, such as the anti-$k_T$ algorithm, were proposed after LEP had concluded. This poses a unique opportunity and challenge for analyzing the archived $e^+e^-$ data from the LEP era. Jets are re-clustered with the $e^+e^-$ variant of the anti-$k_T$ algorithm across a wide range of resolution parameters, ranging from 0.1 to 1.2. As a clean test of jets and QCD without the complication of hadronic initial states, electron-positron collisions serve as a benchmark to compare with analogous measurements in heavy-ion collisions, and examining jet productions with different resolution parameters is a way to probe parton shower and hadronization mechanisms. We will discuss the methodologies to calibrate jets developed specifically for $e^+e^-$ collisions. In addition, unfolding processes are carried out for ALEPH $e^+e^-$ data samples with various resolution parameters. The unfolding procedure is solidified with unfolding PYTHIA 6.1 simulation samples. Comparison between unfolded ALEPH data and simulation from various generators, including PYTHIA 8, SHERPA, HERWIG, and PanScales, are presented. We will also discuss potential future work.

Is this an experimental talk? Yes
Is this on behalf of a collaboration? Yes
Which collaboration? The Electron-Positron Alliance
Are you willing to present as a poster if it is not selected for oral presentation? Yes

Authors

Anthony Badea (University of Chicago) Prof. Austin Baty (University of Illinois Chicago) Christopher McGinn (Massachusetts Institute of Technology) Hannah Bossi (Massachusetts Institute of Technology) Jingyu Zhang (Vanderbilt University) Kuan Lu (Vanderbilt University) MJ Khan (Vanderbilt University) Nishant Gaurav (Vanderbilt University) Shuangyi Zhou (Vanderbilt University) Tzu-An Sheng (Massachusetts Institute of Technology) Prof. Yen-Jie Lee (Massachusetts Institute of Technology) Prof. Yi Chen (Vanderbilt University) Yu-Chen Chen (Massachusetts Institute of Technology)

Presentation materials