The Regge-plus-resonance model for kaon production on the proton and the neutron

TL;DR

The paper introduces the Regge-plus-resonance model for kaon production on protons and neutrons, which is simple, predictive, and capable of extracting resonance information from experimental data.

Contribution

It presents an economical single-channel RPR framework that can predict kaon photoproduction observables on both proton and neutron targets.

Findings

The RPR model accurately predicts $p(e,e'K^{+})\Lambda$ and $n(\gamma,K^{+})\Sigma^{-}$ observables.

The model uses few parameters and can extract resonance information.

It demonstrates predictive power across different reactions.

Abstract

The Regge-plus-resonance (RPR) framework for kaon photoproduction on the proton and the neutron is an economical single-channel model with very few parameters. Not only does the RPR model allow one to extract resonance information from the data, it has predictive power. As an example we show that the RPR model makes fair predictions for the $p(e,e'K^{+})\Lambda$ and the $n(\gamma,K^{+})\Sigma ^{-}$ observables starting from amplitudes optimized for the reaction $p(\gamma, K ^{+})\Lambda$ and $p(\gamma,K^{+})\Sigma ^{0}$ respectively.