Topics of Particle, Astro and Cosmo Frontiers (TOPAC 2023)

Session

Collider

4 Jun 2023, 08:30

Tsung-Dao Lee Institute/S5F-S500 - Lecture Hall (Tsung-Dao Lee Institute)

Conveners

Collider

• Wei Wang
• Chengping Shen

Collider

• Jiayin Gu (Fudan University)
• Kai Yan (Shanghai Jiao Tong University)

84. Recent updates of Higgs properties measurement in the ATLAS and CMS experiments

Kun LIU (TDLI/SPA, SJTU)

04/06/2023, 08:30

Talk

The Standard Model of particle physics has proven incredibly successful at describing many features of nature that we observe in our experiments. The Brout-Englert-Higgs mechanism that took place in the early Universe, less than a picosecond after the Big Bang, led to the electromagnetic and the weak interactions becoming distinct in their actions. In the SM, this mechanism introduces a...

76. Symbol Letters of Feynman Integrals

Lilin Yang

04/06/2023, 08:55

Talk

In this talk, I introduce some recent developement in the construction of symbol letters of Feynman integrals using Baikov representations and intersection theory.

100. Dark Photon search at SHINE facility

Shu Li (TDLI, SJTU)

04/06/2023, 09:20

Talk

Dark SHINE is a new initiative to search for Dark Photon invisible decays into light dark matter particles utilizing the high repetition rate single electron beam to be deployed at the SHINE facility. This talk will show the Dark SHINE project in general and moreover the related BSM searches for Dark Photon at selected experiments at the energy and intensity frontiers.

28. Nuclear decay anomalies as a signature of axion dark matter

Tianjun Li (Institute of Theoretical Physics, Chinese Academy of Sciences)

04/06/2023, 09:45

Talk

A number of nuclear decay anomalies have been reported in the literature, which purport to show periodic variations in the decay rates of certain radioisotopes. If these reports reflect reality, they would necessitate a seismic shift in our understanding of fundamental physics. We provide the first mechanism to explain these findings, via the misalignment mechanism of QCD axion dark matter,...

1. Precision test of the Zbb anomalous couplings at colliders

Prof. Bin Yan (IHEP)

04/06/2023, 10:30

Talk

The forward-backward asymmetry data for the bottom quark at LEP is in conflict with predictions from the standard model, and has been an unresolved issue for some time. It is important to address this discrepancy in order to conduct tests of both the standard model and any proposed theories beyond it. This presentation will provide an overview of recent efforts to investigate anomalous...

17. Probing EWPT in 2HDM with LHC and Future Lepton Colliders

Wei Su (SYSU)

04/06/2023, 10:55

Talk

tudying the properties of Standard Model (SM) – like Higgs boson becomes one important window to explore the physics beyond the SM. In our works, we present studies about the implications of the Higgs and Z-pole precision measurements at current LHC and future Higgs Factories. We perform a global fit to various Higgs search channels to obtain the 95% C.L. constraints on the model parameter...

20. Interpretable machine learning in HEP analysis

Zhuoni Qian (Hangzhou Normal University)

04/06/2023, 11:20

Talk

Machine learning methods have proved powerful in particle physics, but without interpretability there is no guarantee the outcome of a learning algorithm is correct or robust. Thus the interpretable machine learning (IML) framework become necessary in the HEP large data era. I am demonstraintg how the IML framework can be achieved with detailed analysis on a few LHC processes as example, and...

49. Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning

Jie Feng (Sun Yat-sen University (CN))

04/06/2023, 11:45

Talk

In this work, by using machine learning methods, we study the sensitivities of heavy pseudo-Dirac neutrino $N$ in the inverse seesaw at the high-energy hadron colliders. The production process for the signal is $pp \to \ell^\pm N \to 3 \ell + E_T^{\rm miss}$, while the dominant background is $p p \to W^\pm Z \to 3 \ell + E_T^{\rm miss}$. We use either the Multi-Layer Perceptron or the Boosted...