Super-Ensembler

Cibulski, Lena; Klarin, Borislav; Sopouch, Martin; Preim, Bernhard; Theisel, Holger; Matković, Krešimir

doi:10.1145/3154353.3154362

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…This approach is ubiquitous with systems that employ multiple linked views. An often‐used example [ MGJ*10 , MDG*13 , MGS*14 , MAJH17 , CKS*17 ] of those is ComVis [ MFGH08 ], which allows flexible brushing and linking in any view. Such systems allow analysts to filter in either parameter or output space and see the effect on the other.…”

Section: Data Case Organizationmentioning

confidence: 99%

Visual Parameter Space Exploration in Time and Space

Piccolotto

Bögl

Miksch

2023

Computer Graphics Forum

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Computational models, such as simulations, are central to a wide range of fields in science and industry. Those models take input parameters and produce some output. To fully exploit their utility, relations between parameters and outputs must be understood. These include, for example, which parameter setting produces the best result (optimization) or which ranges of parameter settings produce a wide variety of results (sensitivity). Such tasks are often difficult to achieve for various reasons, for example, the size of the parameter space, and supported with visual analytics. In this paper, we survey visual parameter space exploration (VPSE) systems involving spatial and temporal data. We focus on interactive visualizations and user interfaces. Through thematic analysis of the surveyed papers, we identify common workflow steps and approaches to support them. We also identify topics for future work that will help enable VPSE on a greater variety of computational models.

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Section: Data Case Organizationmentioning

confidence: 99%

Visual Parameter Space Exploration in Time and Space

Piccolotto

Bögl

Miksch

2023

Computer Graphics Forum

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Visual Analysis and Detection of Contrails in Aircraft Engine Simulations

Nipu

Floricel

Naghashzadeh

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth’s radiation budget. Simulation modeling is used to interpret the formation and development of contrails. These simulations are computationally intensive and rely on high-performance computing solutions, and the contrail structures are not well defined. We propose a visual computing system to assist in defining contrails and their characteristics, as well as in the analysis of parameters for computer-generated aircraft engine simulations. The back-end of our system leverages a contrail-formation criterion and clustering methods to detect contrails’ shape and evolution and identify similar simulation runs. The front-end system helps analyze contrails and their parameters across multiple simulation runs. The evaluation with domain experts shows this approach successfully aids in contrail data investigation.

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