Thomas, DP, Borgo, R, Carr, HA et al. (1 more author) (2017) Joint Contour Net analysis of lattice QCD data. In: Topology-based Methods in Visualization 2017 (TopoInVis 2017), 27-28 Feb 2017, Tokyo, Japan.
Abstract
Lattice Quantum Chromodynamics (QCD) is an approach used by theo- retical physicists to model the strong nuclear force. This works at the sub-nuclear scale to bind quarks together into hadrons including the proton and neutron. One of the long term goals in lattice QCD is to produce a phase diagram of QCD matter as thermodynamic control parameters temperature and baryon chemical potential are varied. The ability to predict critical points in the phase diagram, known as phase transitions, is one of the on-going challenges faced by domain scientists. In this work we consider how multivariate topological visualisation techniques can be ap- plied to simulation data to help domain scientists predict the location of phase tran- sitions. In the process it is intended that applying these techniques to lattice QCD will strengthen the interpretation of output from multivariate topological algorithms, including the joint contour net. Lattice QCD presents an interesting opportunity for using these techniques as it offers a rich array of interacting scalar fields for anal- ysis; however, it also presents unique challenges due to its reliance on quantum mechanics to interpret the data.
Metadata
Item Type: | Conference or Workshop Item |
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Authors/Creators: |
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Keywords: | Computational Topology; Joint Contour Net; Reeb Space |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/J013072/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Apr 2017 11:14 |
Last Modified: | 31 May 2019 14:26 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114658 |