Energy correlators in the large N limit

• Chul Kim

Room: Seminar room (512)

One-point correlators of conserved and non-conserved charges in QCD

• Minho Son

Room: Seminar room (512) Theoretical and phenomenological aspects of the density matrix of one-point correlators will be discussed in the context of the states produced by a chiral current, as in the decay of a polarized electroweak boson.

Machine learning for Collider Physics

• Myeonghun Park

Room: Seminar room (512)

Unveiling the Unexplored Decay Mode of a Light Charged Higgs Boson to an Off-Shell Top Quark and a Bottom Quark

• SooJin Lee

Room: Seminar room (512) We investigate the unexplored decay mode of a light charged Higgs boson (H±) into an off-shell top quark and a bottom quark (H± → t*b) in the type-I two-Higgs-doublet model. Focusing on the 130-170 GeV mass range, we propose pair production of charged Higgs bosons as a model-independent probe. Our comprehensive analysis at the HL-LHC and a 100 TeV pp collider reveals challenges due to soft b-jets. We then explore the potential of multi-TeV muon colliders, demonstrating that a 3 TeV muon collider with 1 ab^-1 luminosity can achieve discovery-level significance. This talk will present our methodology, results, and the comparative performance of different collider scenarios, highlighting the crucial role of muon colliders in exploring physics beyond the Standard Model.

Boosting probes of CP violation in the top Yukawa coupling with Deep Learning

• Adil Jueid

Room: Seminar room (512) In this talk, I will discuss the CP properties of a Higgs boson coupling with a top quark pair, focusing on events where the Higgs state decays into a pair of $b$-quarks and the top-antitop system decays leptonically. The novelty of this analysis resides in the exploitation of two conditional Deep Learning (DL) networks: a Multi-Layer Perceptron (MLP) and a Graph Convolution Network (GCN). These models are trained for selected CPV phase values and then used to interpolate all possible values ranging from $0 \text{ to } \pi/2$. This enables a comprehensive assessment of sensitivity across all CP phase values, thereby streamlining the process as the models are trained only once. Notably, the conditional GCN exhibits superior performance over the conditional MLP, owing to the nature of graph-based Neural Network (NN) structures. Our Machine Learning (ML) informed findings indicate that assessment of the CP properties of the Higgs coupling to the $t\bar t$ pair can be within reach of the HL-LHC, quantitatively surpassing the sensitivity of more traditional approaches.

Phenomenological study of the electroweak vacuum in Beyond Standard Model Scenarios

• Shilpa Jangid

Room: Seminar room (512) The electroweak vacuum, mainly at zero temperature, is investigated as how the quantum fluctuations affect and constrain different beyond Standard Model (BSM) extensions The quantum fluctuations can lead to a second minimum of the potential, which can be a stable global minimum. The Standard Model falls within the possibility of metastability, which means there can be a deeper minimum. Various beyond-standard model scenarios get bounds from the possibilities of vacuum instability or metastability. It has been seen that the extension of the SM with a scalar in general gives more stability to the vacuum, but the scalar quartic couplings get strong bounds from the perturbative unitarity. Different contributions with non-trivial gauge representation can tamper the behaviour of the SM gauge couplings as well, which are also shown explicitly. The LHC phenomenology in these extended scenarios is also discussed.

Recent development and phenomenological studies with NNLOJET

• Xuan Chen

Room: Seminar room (512)

High-precision prediction for multi-scale processes at the LHC

• Rene Poncelet

Room: Seminar room (512) Comparisons of higher-order predictions within the Standard Model of Particle Physics (SM) to data are central to high-energy collider experiments like the Large Hadron Collider (LHC). Processes with multiple kinematic scales, such as multi-jet and prompt photon production, provide a unique possibility for probing Quantum Chromodynamics (QCD). These processes directly test perturbative QCD and can be used to extract fundamental parameters like the strong coupling constant and to search for BSM physics. Recent developments enabled lifting three-jet, photon plus two-jet, photon-pair plus jet, three-photon and other two-to-three cross-sections to QCD’s next-to-next-to-leading order (NNLO). In this talk, I will give an overview of the phenomenology for such processes and the calculational techniques used in their computation.

Electroweak Corrections to Double Higgs Production at the LHC

• Huan Yu Bi

Room: Seminar room (512) We present the results for the complete next-to-leading order electroweak corrections to pp → HH at the Large Hadron Collider, focusing on the dominant gluon-gluon fusion process. While the corrections at the total cross-section level are approximately −4%, those near the energy of HH production threshold exceed +15%, and corrections at the high-energy region are around −10%, leading to a shape distortion for the differential distributions. Our findings substantially diminish the theoretical uncertainties associated with this pivotal process, providing valuable input for understanding the shape of the Higgs boson potential upon comparison with experimental measurements.

NNLO QCD corrections to semi-inclusive DIS

• Narayan Rana

Room: Seminar room (512) In this talk, we present the second order QCD corrections to the semi-inclusive deep-inelastic scattering process. We compute both virtual and phase-space integrals analytically, using the state-of-the-art techniques namely, the method of reverse unitarity, IBP reduction and the method of differential equations. After appropriate mass-subtraction, we obtain the finite partonic cross-section and perform a numerical analysis to demonstrate the impact of NNLO correction.

Expansion of hypergeometric functions about their parameters

• Souvik Bera

Room: Seminar room (512)