A new energy-dependent fit strategy, independent of any specific microscopic theory, is applied to kaon photoproduction data with center-of-mass energies ranging from 1625 MeV to 2296 MeV. Experimental data are fitted in terms of a modified Laurent expansion (Laurent+Pietarinen expansion) which previously has been successfully applied to multipoles. The present aim is to extract resonance pole parameters directly from the data, rather than from sets of multipoles. A constrained single-energy fit is then used to search for missing structures. In this proof-of-principle study, the data are well-described by the initial L+P fit, and it is shown that only a moderate amount of structure, mostly in higher multipoles, is missing from the original ...
We investigate photoproduction of phi mesons off protons within a coupled-channel effective-Lagrangi...
Today, laboratory experiments conducted worldwide continue to search for undiscovered excited states...
We address the issue of unbiased model selection and propose a methodology based on Bayesian inferen...
As it has been shown in the invited talk at the NSTAR-2017 conference [1] it is in principle possibl...
AbstractA method to extract resonance pole information from single-channel partial-wave amplitudes b...
The recently published experimental data on K+Lambda photoproduction by the SAPHIR, CLAS, and LEPS c...
The two reactions γp→K+Λγp→K+Λ and π−p→K0Λπ−p→K0Λ are analyzed to determine the leading photoprodu...
The two reactions $\gamma p\rightarrow K^{+}\Lambda$ and $\pi^{-} p\rightarrow K^{0}\Lambda$ are ana...
We have analysed pion photoproduction imposing constraints from fixed t dispersion relations and uni...
Abstract. Amplitude and partial wave analyses for pion, eta or kaon photoproduction are discussed in...
We derive and apply the finite energy sum rules to pion photoproduction. We evaluate the low-energy ...
We apply a model-independent reconstruction method to experimental data in order to identify complex...
We address the issue of unbiased model selection and propose a methodology based on Bayesian inferen...
Pion and eta electroproduction data are jointly analyzed for the first time, up to a center-of-mass ...
We address the issue of unbiased model selection and propose a methodology based on Bayesian inferen...
We investigate photoproduction of phi mesons off protons within a coupled-channel effective-Lagrangi...
Today, laboratory experiments conducted worldwide continue to search for undiscovered excited states...
We address the issue of unbiased model selection and propose a methodology based on Bayesian inferen...
As it has been shown in the invited talk at the NSTAR-2017 conference [1] it is in principle possibl...
AbstractA method to extract resonance pole information from single-channel partial-wave amplitudes b...
The recently published experimental data on K+Lambda photoproduction by the SAPHIR, CLAS, and LEPS c...
The two reactions γp→K+Λγp→K+Λ and π−p→K0Λπ−p→K0Λ are analyzed to determine the leading photoprodu...
The two reactions $\gamma p\rightarrow K^{+}\Lambda$ and $\pi^{-} p\rightarrow K^{0}\Lambda$ are ana...
We have analysed pion photoproduction imposing constraints from fixed t dispersion relations and uni...
Abstract. Amplitude and partial wave analyses for pion, eta or kaon photoproduction are discussed in...
We derive and apply the finite energy sum rules to pion photoproduction. We evaluate the low-energy ...
We apply a model-independent reconstruction method to experimental data in order to identify complex...
We address the issue of unbiased model selection and propose a methodology based on Bayesian inferen...
Pion and eta electroproduction data are jointly analyzed for the first time, up to a center-of-mass ...
We address the issue of unbiased model selection and propose a methodology based on Bayesian inferen...
We investigate photoproduction of phi mesons off protons within a coupled-channel effective-Lagrangi...
Today, laboratory experiments conducted worldwide continue to search for undiscovered excited states...
We address the issue of unbiased model selection and propose a methodology based on Bayesian inferen...