Joint Contour Net Analysis for Feature Detection in Lattice Quantum Chromodynamics Data

In this paper we demonstrate the use of multivariate topological algorithms to analyse and interpret Lattice Quantum Chromodynamics (QCD) data. Lattice QCD is a long established field of theoretical physics research in the pursuit of understanding the strong nuclear force. Complex computer simulations model interactions between quarks and gluons to test theories regarding the behaviour of matter in a range of extreme environments. Data sets are typically generated using Monte Carlo methods, providing an ensemble of configurations, from which observable averages must be computed. This presents issues with regard to visualisation and analysis of the data as a typical ensemble study can generate hundreds or thousands of unique configurations. We show how multivariate topological methods, such as the Joint Contour Net, can assist physicists in the detection and tracking of important features within their data in a temporal setting. This enables them to focus upon the structure and distribution of the core observables by identifying them within the surrounding data. These techniques also demonstrate how quantitative approaches can help understand the lifetime of objects in a dynamic system.Comment: 30 pages, 19 figures, 4 table

Data for: Joint Contour Net Analysis for Feature Detection in Lattice Quantum Chromodynamics Data

The provided files contain the data used in this case study."config.b190k1680mu0700j02s16t08" contains the raw configuration data as (binary) output from the FORTRAN 'cooling' code."topological charge density.hvol" captures the scalar field in 4-dimensions by computing the topological charge density at each site on the lattice."cool0030_sliced.7z" contains each 3D slice of the data across the temporal axis.Read me files are provided for parsing the scalar field in 4D ("data_structure.txt") and 3D ("sliced_data_structure.txt").THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Data for: Joint Contour Net Analysis for Feature Detection in Lattice Quantum Chromodynamics Data

The provided files contain the data used in this case study."config.b190k1680mu0700j02s16t08" contains the raw configuration data as (binary) output from the FORTRAN 'cooling' code."topological charge density.hvol" captures the scalar field in 4-dimensions by computing the topological charge density at each site on the lattice."cool0030_sliced.7z" contains each 3D slice of the data across the temporal axis.Read me files are provided for parsing the scalar field in 4D ("data_structure.txt") and 3D ("sliced_data_structure.txt")