Analysis of identified-hadron spectra from fixed-target $\bf p$-A collisions and the nature of the Cronin effect
Thomas A. Trainor

TL;DR
This paper reanalyzes fixed-target proton-nucleus collision spectra using a two-component model, clarifying the nature of the Cronin effect and its dependence on collision energy and target size, with implications for understanding particle production.
Contribution
It introduces a detailed two-component spectrum analysis of fixed-target p-A data, revealing separate power-law A dependences for soft and hard components and challenging the Glauber model for p-A centrality.
Findings
Power-law A dependences for soft and hard components are identified.
The Cronin effect is explained within the two-component model framework.
Power-law trends at 25 GeV are consistent with LHC energies.
Abstract
In this study fixed-target spectra obtained by the Chicago-Princeton (C-P) collaboration at Fermilab in the mid seventies are analyzed with a two-component spectrum model (TCM) that has been applied successfully to a number of collision systems at the RHIC and LHC in the past. It is from C-P data that the Cronin effect was first inferred. TCM analysis leads to factorization of collision-energy and target A dependences. Over the energy range of C-P data energy dependence is restricted to model-function shapes on whereas A dependence is restricted to particle densities for three hadron species and their antiparticles. A dependence for soft and hard components varying separately as power laws and with fixed exponents is a central finding of this study. The trends inferred by the C-P collaboration resulted from treating spectra as…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Particle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions
