2011/07/16 by Yu-Liang Yan, Gang Chen, Xiao-Mei Li +9 · 1 citation
Mathematics · Physics and Astronomy · #Algorithm #Combinatorics #Computer science #Distribution (mathematics) #Hadron #High-Energy Particle Collisions Research #Machine learning #Mathematical analysis #Mathematics #Particle physics #Particle physics theoretical and experimental studies #Physics #Production (economics) #Quantum Chromodynamics and Particle Interactions #Rapidity #hep-ph #nucl-th
paper · pdf · doi:10.1103/physrevc.85.024907
5 pages, 2 figures
arxiv created 2011/07/16 · openalex publication_date 2012/02/23 · arxiv updated 2015/05/28 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
A dynamically constrained phase-space coalescence model was proposed and was used first to predict the light nuclei (antinuclei) yield, transverse momentum distribution, and the rapidity distribution in nonsingle diffractive pp collisions at √(s)=7 and 14 TeV. This calculation was based on the 1.2\ifmmode×\else\texttimes\fi108 hadronic final states generated with the pythia and paciae models. The pythia and paciae model results of antideuteron yields of 4.852\ifmmode×\else\texttimes\fi10^\ensuremath-5 and 6.247\ifmmode×\else\texttimes\fi10^\ensuremath-5 at √(s)=7\phantom\rule0.28em0exTeV are compatible with the ALICE preliminary datum of 5.456\ifmmode×\else\texttimes\fi10^\ensuremath-5 (or \ensuremath∼\phantom\rule-0.16em0ex6\ifmmode×\else\texttimes\fi10^\ensuremath-5).