30 July 2026 to 5 August 2026
Natal, Brazil
America/Sao_Paulo timezone

Measurement of two-particle correlation in high energy e+e- collisions with enhanced W+W- contributions using the ALEPH archived data

Not scheduled
20m
Natal, Brazil

Natal, Brazil

Via Costeira Sen. Dinarte Medeiros Mariz, 6664-6704 - Ponta Negra, Natal - RN, 59090-002
Talk Heavy Ions

Speakers

Tzu-An Sheng Yu-Chen (Janice) Chen (Massachusetts Institute of Technology)

Description

Long-range correlations in azimuthal angle, commonly referred to as the ridge signals, have been observed across different hadronic collision systems and energies, but the underlying origin remains unresolved. High charged-particle multiplicity events have been a central focus in enhancing sensitivity to the possible emergence of collective-like behavior, including in e⁺e⁻ collisions. We present a measurement of two-particle angular correlations using data collected by the ALEPH detector during the LEP2 program in e⁺e⁻ collisions at center-of-mass energies up to √s = 209 GeV, with a focus on enhancing the contribution from two–color-string topologies arising from hadronic W⁺W⁻ decays using a boosted decision tree (BDT). Correlation functions are evaluated across a broad range of pseudorapidity and full azimuth, in bins of charged-particle multiplicity. The correlation functions are further decomposed into a Fourier series, and the resulting harmonic coefficients vn are compared with Monte Carlo (MC) baseline. For multiplicity starting from 30, the observed $v_2$ goes from negative to positive, which marks a sizable deviation from the MC expectations. This result facilitates understanding collective-like behavior emergence in small systems, and may provide new constraints on parton- and hadron-level interactions in particle production mechanisms.

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Authors

Anthony Badea (University of Chicago (US)) Austin Alan Baty (University of Illinois Chicago) Christopher Mc Ginn (Massachusetts Inst. of Technology (US)) Dr Gian Michele Innocenti (Massachusetts Inst. of Technology (US)) Hannah Bossi (Massachusetts Inst. of Technology (US)) Jingyu Zhang (Vanderbilt University (US)) Marcello Maggi (Universita e INFN, Bari (IT)) Michael Peters Paoti Chang (National Taiwan University (TW)) Tzu-An Sheng Yen-Jie Lee (Massachusetts Inst. of Technology (US)) Yi Chen (Vanderbilt University (US)) Yu-Chen (Janice) Chen (Massachusetts Institute of Technology)

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