A quantification of in-jet azimuthal asymmetry for jets in e+e- collisions at 91.2 GeV using the archived ALEPH data

23 Jun 2026, 19:40
20m
Garland 064

Garland 064

Poster presentation Poster session

Speaker

Kuan Lu (Vanderbilt University)

Description

We present a novel measurement of in-jet azimuthal asymmetry in $\sqrt{s}=91.2\,\mathrm{GeV}$ $e^+e^-$ collisions, providing a precision vacuum reference and a controlled bridge to QGP-like collectivity. Using ALEPH data and validated simulations, we extract fully-unfolded, per-jet constituent Fourier harmonics $V_n$ ($n=1\text{-}3$) with respect to the jet axis. We compare the Winner-Take-All axis (defined by WTA recombination and aligned with the hardest branch) and the E-scheme axis (defined by the vector sum of in-jet constituent four-momenta) to quantify sensitivity to soft jet constituents, and we benchmark the results against multiple modern event generators. To study possible flow-driven effects on these observables, we use a dedicated Monte Carlo framework that injects a tunable flow-like modulation at the constituent level and measures the corresponding response. Future prospects and extensions of this study will also be discussed.

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

Authors

Kuan Lu (Vanderbilt University) Yi Chen (Vanderbilt University (US))

Co-authors

Jingyu Zhang (Vanderbilt University (US)) Anthony Badea (University of Chicago (US)) Austin Alan Baty (University of Illinois Chicago) Benjamin Nachman (LBNL) Christopher McGinn (Massachusetts Institute of Technology) Dr Gian Michele Innocenti (Massachusetts Inst. of Technology (US)) Hannah Bossi (Massachusetts Inst. of Technology (US)) Marcello Maggi (Universita e INFN, Bari (IT)) Michael Joseph Peters (Massachusetts Inst. of Technology (US)) Shuangyi Zhou (Vanderbilt University) Tzu-An Sheng (Massachusetts Inst. of Technology (US)) Yen-Jie Lee (Massachusetts Inst. of Technology (US)) Yu-Chen (Janice) Chen (Massachusetts Institute of Technology)

Presentation materials