Marina Evers
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View article: Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models Open
Multidimensional data is often associated with uncertainties that are not well-described by normal distributions. In this work, we describe how such distributions can be projected to a low-dimensional space using uncertainty-aware principa…
View article: Voronoi Cell Interface‐Based Parameter Sensitivity Analysis for Labeled Samples
Voronoi Cell Interface‐Based Parameter Sensitivity Analysis for Labeled Samples Open
Varying the input parameters of simulations or experiments often leads to different classes of results. Parameter sensitivity analysis in this context includes estimating the sensitivity to the individual parameters, that is, to understand…
View article: Uncertainty-Aware Spectral Visualization
Uncertainty-Aware Spectral Visualization Open
One common task in time series analysis is the visual investigation of spectra such as Fourier spectra or wavelet spectra to identify dominating frequencies. In this article, we present the propagation of data uncertainty to the spectra an…
View article: Progressive Glimmer: Expanding Dimensionality in Multidimensional Scaling
Progressive Glimmer: Expanding Dimensionality in Multidimensional Scaling Open
Progressive dimensionality reduction algorithms allow for visually investigating intermediate results, especially for large data sets. While different algorithms exist that progressively increase the number of data points, we propose an al…
View article: UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox
UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox Open
Current research provides methods to communicate uncertainty and adapts classical algorithms of the visualization pipeline to take the uncertainty into account. Various existing visualization frameworks include methods to present uncertain…
View article: 2D Embeddings of Multi-Dimensional Partitionings
2D Embeddings of Multi-Dimensional Partitionings Open
Partitionings (or segmentations) divide a given domain into disjoint connected regions whose union forms again the entire domain. Multi-dimensional partitionings occur, for example, when analyzing parameter spaces of simulation models, whe…
View article: 2D Embeddings of Multi-dimensional Partitionings
2D Embeddings of Multi-dimensional Partitionings Open
Partitionings (or segmentations) divide a given domain into disjoint connected regions whose union forms again the entire domain. Multi-dimensional partitionings occur, for example, when analyzing parameter spaces of simulation models, whe…
View article: Interactive Visual Analysis of Spatial Sensitivities
Interactive Visual Analysis of Spatial Sensitivities Open
Sensitivity analyses of simulation ensembles determine how simulation parameters influence the simulation's outcome. Commonly, one global numerical sensitivity value is computed per simulation parameter. However, when considering 3D spatia…
View article: Visual analytics of soccer player performance using objective ratings
Visual analytics of soccer player performance using objective ratings Open
The performance of soccer players is commonly rated by soccer experts for each match as well as over a tournament or during a season/year. However, these ratings are mostly subjective. We instead propose a visual analytics approach for a m…
View article: An active colloidal system showing parallels to a time crystal
An active colloidal system showing parallels to a time crystal Open
The spontaneous breaking of symmetries is a widespread phenomenon in physics. When time translational symmetry is spontaneously broken, an exotic nonequilibrium state of matter in which the same structures repeat themselves in time can ari…
View article: An active colloidal system showing parallels to a time crystal
An active colloidal system showing parallels to a time crystal Open
Supplementary data for the following manuscript: Marina Evers, Raphael Wittkowski, "An active colloidal system showing parallels to a time crystal", Physica Scripta.
View article: An active colloidal system showing parallels to a time crystal
An active colloidal system showing parallels to a time crystal Open
Supplementary data for the following manuscript: Marina Evers, Raphael Wittkowski, "An active colloidal system showing parallels to a time crystal", Physica Scripta.
View article: ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures
ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures Open
Simulation ensembles are a common tool in physics for understanding how a model outcome depends on input parameters. We analyze an active particle system, where each particle can use energy from its surroundings to propel itself. A multi-d…
View article: A colloidal time crystal and its tempomechanical properties
A colloidal time crystal and its tempomechanical properties Open
The spontaneous breaking of symmetries is a widespread phenomenon in physics. When time translational symmetry is spontaneously broken, an exotic nonequilibrium state of matter in which the same structures repeat themselves in time can ari…
View article: Uncertainty‐aware Visualization of Regional Time Series Correlation in Spatio‐temporal Ensembles
Uncertainty‐aware Visualization of Regional Time Series Correlation in Spatio‐temporal Ensembles Open
Given a time‐varying scalar field, the analysis of correlations between different spatial regions, i.e., the linear dependence of time series within these regions, provides insights into the structural properties of the data. In this conte…
View article: Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations
Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations Open
Spatio-temporal simulation ensembles are used to investigate the dependence of the simulation behavior on input parameters. Running simulations for a large number of input parameter settings is computationally expensive. We propose a schem…