2016/03/07 by Jannes Nys, J. Nys, J. Ryckebusch +2 · 2 citations
Physics and Astronomy · #Amplitude #Computer science #High-Energy Particle Collisions Research #Measure (data warehouse) #Meson #Observable #Parameter space #Particle physics #Particle physics theoretical and experimental studies #Physics #Probability distribution #Pseudoscalar #Pseudoscalar meson #Quantum mechanics #Space (punctuation) #Statistical physics #Statistics #Theoretical and Computational Physics #hep-ph #nucl-th
paper · pdf · doi:10.1016/j.physletb.2016.05.069
arxiv created 2016/03/07 · openalex publication_date 2016/05/01 · arxiv updated 2016/06/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
To learn about a physical system of interest, experimental results must be able to discriminate among models. We introduce a geometrical measure to quantify the distance between models for pseudoscalar-meson photoproduction in amplitude space. Experimental observables, with finite precision, map to probability distributions in amplitude space, and the characteristic width scale of such distributions needs to be smaller than the distance between models if the observable data are going to be useful. We therefore also introduce a method for evaluating probability distributions in amplitude space that arise as a result of one or more measurements, and show how one can use this to determine what further measurements are going to be necessary to be able to discriminate among models.