A versatile R-matrix module including alternative parametrizations

The evaluation of nuclear reaction data within the resolved resonance regime relies on phenomeno-logical R-matrix analyses. In absence of quantitatively reliable microscopic models phenomenological R-matrix manages to reproduce experiment data at high accuracy especially in the resolved resonance regime with a limited number of parameters while unitarity constraints and sum rules are automatically met. However, due to non-trivial mapping between fitting parameters and observables as well as interference effects, standard R-matrix parameters only loosely correlate with observed resonance structures in cross sections making the fitting process challenging. Elegant alternative parametrizations have been introduced by Brune [1] and recently by Park [2] to enforce the agreement between R-matrix parameters and observed resonance positions, thus simplifying the fitting process. In this contribution the alternative parametrizations are compared as well as the successful implementation of Park’s parametrization into the R-matrix module of GECCCOS [3] is demonstrated on first examples.

Authors

Institutions

Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202532203003
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A versatile R-matrix module including alternative parametrizations

Thomas Srdinko, H. Leeb
EPJ Web of Conferences
Matrix Theory and Algorithms
article

A versatile R-matrix module including alternative parametrizations

Thomas Srdinko, H. Leeb
article en

Abstract

The evaluation of nuclear reaction data within the resolved resonance regime relies on phenomeno-logical R-matrix analyses. In absence of quantitatively reliable microscopic models phenomenological R-matrix manages to reproduce experiment data at high accuracy especially in the resolved resonance regime with a limited number of parameters while unitarity constraints and sum rules are automatically met. However, due to non-trivial mapping between fitting parameters and observables as well as interference effects, standard R-matrix parameters only loosely correlate with observed resonance structures in cross sections making the fitting process challenging. Elegant alternative parametrizations have been introduced by Brune [1] and recently by Park [2] to enforce the agreement between R-matrix parameters and observed resonance positions, thus simplifying the fitting process. In this contribution the alternative parametrizations are compared as well as the successful implementation of Park’s parametrization into the R-matrix module of GECCCOS [3] is demonstrated on first examples.

EPJ Web of ConferencesVol. 322
TU Wien (AT)
Openalex Percentile: Top 94%
Matrix Theory and Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.