HEP Software Foundation Community White Paper Working Group --- Visualization

Abstract

In modern High Energy Physics (HEP) experiments visualization of experimental data has a key role in many activities and tasks across the whole data chain: from detector development to monitoring, from event generation to reconstruction of physics objects, from detector simulation to data analysis, and all the way to outreach and education. In this paper the definition, status, and evolution of data visualization for HEP experiments will be presented. Suggestions for the upgrade of data visualization tools and techniques in current experiments will be outlined, along with guidelines for future experiments. This paper expands on the summary content published in the HSF Roadmap Community White Paper [1].

Particle-based fast jet simulation at the LHC with variational autoencoders

“…For this kind of application, in the similar phase space as the one used in this study, a typical state-of-the-art simulation has a 10% accuracy on jet kinematic distributions such as the momentum and pseudorapidity [10]. At the same time, the Fast Simulation software has difficulty faithfully reproducing detailed jet particle composition, and larger discrepancies are observed when comparing variables that depend on it, such as jet mass [41].…”

A method of detector description transformation to Unity and its application in BESIII

“…In roadmap for HEP software and computing R&D for the 2020s [2], application based on VR is an important direction of development [1]. VR simulates the user's physical presence in a virtual environment.…”

“…Detector description and visualization play important roles in various aspects throughout the life cycle of a High Energy Physics (HEP) experiment, including detector design, optimization, simulation, reconstruction, detector commissioning, monitoring, event display and physics analysis, as well as outreach and education. In HEP Software Foundation (HSF) community white paper [1] and the roadmap for HEP software and computing R&D for the 2020s [2], suggestions and guideline for visualization tools and techniques in future experiments have been specifically discussed, which focus on detector geometry visualization, event display and interactivity.…”