Maxim Mai, The George Washington University.
In this paper, we analyze π− − p elastic collision data from the Particle Data Group (PDG), by creating a general framework to study resonance activity: automating peak detection, extrapolating, parametrizing thresholds, filtering resonances and further comparing and extracting characteristics, to identify Delta (Δ) baryons. We then analyse experimental Energy vs Phase-Shift (δ) data for the collision π+ +π− → π− +π+, model the T matrix from a curve fitted polynomial representation of the K−1 matrix, simulate its Riemann sheets and analyse it to identify the characteristics of ρ0(770) meson, as well as estimate their uncertainties. These methodologies offer a foundation for similar analyses in different systems and events.
Hameed, Shahnaz Abdul, "A Statistical Framework for Automating Resonance Detection: Modelling Pion Proton Collision Activity" (2023). 2023 REYES Proceedings. 11.