Publications
Publication Information
| Title | PyPWA: A Software Toolkit for Parameter Optimization and. Amplitude Analysis |
| Authors | Mark Jones, Peter Hurck, William Phelps, Carlos W. Salgado |
| JLAB number | JLAB-PHY-23-3817 |
| LANL number | arXiv:2306.01192 Sea |
| Other number | DOE/OR/23177-6147 |
| Document Type(s) | (Journal Article) |
| Associated with EIC: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
| Funding Source: | Nuclear Physics (NP) |
| Other Funding: | NSF,USA STFC, UK |
|
Journal Compiled for Nuclear Instruments & Methods in Physics Research, Section A Volume 1062 Page(s) 169150 Refereed | |
| Publication Abstract: | PyPWA is a toolkit designed to optimize parametric models describing data and generate simulated distributions according to a model. Its software has been written within the python ecosystem with the goal of performing Amplitude or Partial Wave Analysis (PWA) in nuclear and particle physics experiments. We briefly describe the general features of amplitude analysis and the PyPWA software design and usage. We provide benchmarks of the scaling and an example of its application |
| Experiment Numbers: | other |
| Group: | Hall D |
| Document: | |
| DOI: | https://doi.org/10.1016/j.nima.2024.169150 |
| Accepted Manuscript: | 1-s2.0-S0168900224000767-main.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |