Dynamical projections for the visualization of PDFSense data

TL;DR

This paper enhances the PDFSense visualization tool by integrating dynamical projections, such as tours, to better explore high-dimensional sensitivity data in hadronic experiment analyses.

Contribution

It introduces the use of dynamical projection techniques like tours to improve visualization of high-dimensional sensitivity data in PDF analyses.

Findings

Dynamical projections reveal finer structure in high-dimensional data.

Tour visualization extends beyond 3D limitations.

Enhanced sensitivity assessment in hadronic experiments.

Abstract

A recent paper on visualizing the sensitivity of hadronic experiments to nucleon structure [1] introduces the tool PDFSense which defines measures to allow the user to judge the sensitivity of PDF fits to a given experiment. The sensitivity is characterized by high-dimensional data residuals that are visualized in a 3-d subspace of the 10 first principal components or using t-SNE [2]. We show how a tour, a dynamic visualisation of high dimensional data, can extend this tool beyond 3-d relationships. This approach enables resolving structure orthogonal to the 2-d viewing plane used so far, and hence finer tuned assessment of the sensitivity.