Dynamical projections for the visualization of PDFSense data

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.

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References in corpus (6)

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• Uncertainties of Predictions from Parton Distribution Functions I: the Lagrange Multiplier Method
• An Improved Determination of ${\alpha }_S$ From Neutrino-Nucleon Scattering
• Multivariate Fitting and the Error Matrix in Global Analysis of Data
• Measurement of F_2^ccbar and F_2^bbbar at High Q^2 using the H1 Vertex Detector at HERA
• Measurement of F_2^{c\bar{c}} and F_2^{b\bar{b}} at Low Q^2 and x using the H1 Vertex Detector at HERA

Cited by in corpus (6)

• Mapping the sensitivity of hadronic experiments to nucleon structure
• Anatomy of a six-parameter fit to the $b\to s{\ell }^{+}{\ell }^{-}$ anomalies
• Hole or grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions
• Fitting in or odd one out? Pulls vs residual responses in $b\to s{\ell }^{+}{\ell }^{-}$
• A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data
• PDFSense: Mapping the sensitivity of hadronic experiments to nucleon structure