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Particle Physics on the Plains​ 2022 Part 2

22–23 Oct 2022
University of Kansas
US/Central timezone

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Session

Session 3

22 Oct 2022, 14:00
2001 Malott Hall (University of Kansas)

2001 Malott Hall

University of Kansas

Department of Physics & Astronomy University of Kansas Lawrence, KS

Conveners

Session 3

  • Peisi Huang

Presentation materials

There are no materials yet.

  1. 51. Hunting Gluonic ALPs
    Zhen Liu, Zhen Liu, Zhen Liu (University of Minnesota (US))
    22/10/2022, 14:00

    Axion coupling to gluons is the defining property that connects it to the Strong CP puzzle. People have recently considered heavier axions, often dubbed Axion-Like-Particles (ALPs), as a generic EFT for pseudo-scalars. However, the effects have mostly been focused on other couplings as they are much easier to calculate and observe. In this talk, I will describe the attempt to consider...

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  2. 40. Probing the Bell's inequalities at the LHC with top-quark pair production
    Alberto Navarro
    22/10/2022, 14:35

    The Large Hadron Collider provides an excellent environment to study the quantum entanglement and Bell's inequality at the highest energy available today. In this presentation, we explore the possible observation of the entanglement in the top quark production, which represents a system of two qubits.

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  3. 43. Collider Physics with Symbolic Regression
    Zhongtian Dong (University of Kansas)
    22/10/2022, 14:55

    Symbolic Regression represents a collection of methods to derive the symbolical expression of a formula given numerical values of the variables and the function values. Recent advances in machine learning have improved the performance of symbolic regression, and have attracted attention to use it to solve physics problems. We attempted to use symbolic regression to derive analytical formulas...

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  4. 47. New physics searches in top production processes using machine learning
    Roshan Mammen Abraham
    22/10/2022, 15:15

    The angular moments for the Z boson can be used as analyzers for the underlying production dynamics for $Z$ associated top pair and single top processes. We show that the angular moments for the $Z$ boson can boost new physics sensitivity in the $t\bar{t}Z$ processes at the high luminosity LHC (HL-LHC), using machine learning techniques. We present the HL-LHC sensitivity to new physics effects...

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