Developments of PAnTHer: 2D and 3D web maps

PAnTHer (Particle Accelerator on THree.js) is an innovative visualization tool designed to create interactive 2D and 3D maps for particle accelerators, leveraging advanced web and touch technologies. These dynamic maps are seamlessly integrated with real-time data sourced from accelerator control systems, simulation outputs, and an external component database. The mapping process utilizes a JSON-formatted lattice file, which can be generated on-the-fly by extracting essential parameters from a simulator device server. This allows for instantaneous presentation to remote users, complete with visualizations of particle trajectories at refresh rates of up to 25 frames per second. To ensure efficient and secure data delivery, we have implemented several techniques that facilitate access for external users while maintaining data integrity. The 3D visualization component was specifically developed to strike an optimal balance between visual fidelity and performance, enhancing the user experience in exploring complex accelerator environments. This presentation will detail the architecture, functionality, and performance metrics of PAnTHer, highlighting its potential applications in accelerator physics and education.

Publication Details

Journal
JACOW
Published
2025-12-05
DOI
https://doi.org/10.18429/jacow-icalepcs2025-mocr006
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developments of PAnTHer: 2D and 3D web maps

JACOW
Distributed and Parallel Computing Systems
article

Developments of PAnTHer: 2D and 3D web maps

article en

Abstract

PAnTHer (Particle Accelerator on THree.js) is an innovative visualization tool designed to create interactive 2D and 3D maps for particle accelerators, leveraging advanced web and touch technologies. These dynamic maps are seamlessly integrated with real-time data sourced from accelerator control systems, simulation outputs, and an external component database. The mapping process utilizes a JSON-formatted lattice file, which can be generated on-the-fly by extracting essential parameters from a simulator device server. This allows for instantaneous presentation to remote users, complete with visualizations of particle trajectories at refresh rates of up to 25 frames per second. To ensure efficient and secure data delivery, we have implemented several techniques that facilitate access for external users while maintaining data integrity. The 3D visualization component was specifically developed to strike an optimal balance between visual fidelity and performance, enhancing the user experience in exploring complex accelerator environments. This presentation will detail the architecture, functionality, and performance metrics of PAnTHer, highlighting its potential applications in accelerator physics and education.

JACOW
Openalex Percentile: Top 38%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Developments of PAnTHer: 2D and 3D web maps · JACOW (2025) | TGRS Research Map | TGRS