Speaker
Description
The reproducibility of complex amplitude models from published papers poses a significant challenge in high-energy physics, hindering progress and reliability. If these models were readily reproducible, it would standardize verification, enhance community reanalysis, and improve the utility of MC generators. We propose a solution involving the serialization of amplitude models into a lightweight, human-readable format, starting with three-body decay analyses. Our approach aims to bridge the gap in model accessibility and reproducibility, utilizing JSON for model descriptions. Early efforts are in progress with ThreeBodydDecays.jl
, COMPWA
, and TFAnalysis
implementations, and we see potential for broader adoption, including a possible extension to ROOT via the HS3 initiative. Success in this endeavor requires active community support and collaboration with developers of leading frameworks, ensuring widespread adoption and the advancement of transparent, reproducible research in our field.