The Mitchell Conference on Collider, Dark Matter, and Neutrino Physics 2024

Session

Collider: Machine Learning, Quantum Information

May 23, 2024, 9:00 AM

Hawking Auditorium (Mitchell Institute, Texas A&M University)

Conveners

Collider: Machine Learning, Quantum Information

• Joel Walker (Sam Houston State University)

8. Phenomenlogy of $b$-associated TeV scale scalar production with baryon-number violation in $t\phi$ final states at the LHC

Denis Rathjens (Texas A & M University (US))

5/23/24, 9:00 AM

Minimal non-thermal dark matter models are an attractive type of model, since they can potentially explain both the existence of dark matter as well as the baryon asymmetry in the universe. In this presentation, I focus on a type of model with two color-triplet iso-singlet scalars at TeV scale masses and a singlet Majorana fermion dark matter candidate at the GeV scale. A phenomenological...

7. Beyond Kinematics for Optimal Hadronic Top Quark Polarimetry

Zhongtian Dong (University of Kansas)

5/23/24, 9:25 AM

Top quark polarization measurements provide observables that are sensitive to spin correlation measurements and new physics. The down-type fermion from the W decay is the most powerful spin analyzer from top, which is not straight forward to measure in hadronic decays. Most applications measure top quark spin via an optimal hadronic spin analyzer built from kinematics. In this talk, we discuss...

11. Testing quantum entanglement and violation of the Bell inequality from the top-quark decay at the LHC

Tao Han

5/23/24, 9:50 AM

Quantum entanglement is a fundamental property of quantum mechanics. Recently, studies have explored entanglement in the $t\bar{t}$ system at the Large Hadron Collider (LHC) when both the top quark and anti-top quark decay leptonically. Entanglement is detected via correlations between the polarizations of the top and anti-top and these polarizations are measured through the angles of the...