Polyphorm: Structural Analysis of Cosmological Datasets via Interactive Physarum Polycephalum Visualization

Elek, Oskár; Burchett, Joseph N.; Prochaska, J. X.; Forbes, Angus G.

doi:10.1109/tvcg.2020.3030407

Cited by 10 publications

(12 citation statements)

References 61 publications

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“…For example, the Open Space "astrographics" system [22] facilitates the interactive display of data from many various sources including simulation datasets, focusing on broader scientific communication. Polyphorm [23] uses an unconventional natureinspired approach to interactively reconstruct and visualize largescale cosmic web density fields from sparse simulated halos or observed galaxy data, but does not handle densely sampled attributes such as gas temperature or metallicity. Hesse-Edenfeld et al [24] describe an interactive hybrid particle/volume rendering tool with support for multiple data modalities, geared towards temporal analysis of simulated universe evolution.…”

Section: Related Workmentioning

confidence: 99%

CosmoVis: An Interactive Visual Analysis Tool for Exploring Hydrodynamic Cosmological Simulations

Abramov

Burchett

Elek

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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We introduce CosmoVis, an open source web-based visualization tool for the interactive analysis of massive hydrodynamic cosmological simulation data. CosmoVis was designed in close collaboration with astrophysicists to enable researchers and citizen scientists to share and explore these datasets, and to use them to investigate a range of scientific questions. CosmoVis visualizes many key gas, dark matter, and stellar attributes extracted from the source simulations, which typically consist of complex data structures multiple terabytes in size, often requiring extensive data wrangling. CosmoVis introduces a range of features to facilitate real-time analysis of these simulations, including the use of "virtual skewers," simulated analogues of absorption line spectroscopy that act as spectral probes piercing the volume of gaseous cosmic medium. We explain how such synthetic spectra can be used to gain insight into the source datasets and to make functional comparisons with observational data. Furthermore, we identify the main analysis tasks that CosmoVis enables and present implementation details of the software interface and the client-server architecture. We conclude by providing details of three contemporary scientific use cases that were conducted by domain experts using the software and by documenting expert feedback from astrophysicists at different career levels.

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Section: Related Workmentioning

confidence: 99%

CosmoVis: An Interactive Visual Analysis Tool for Exploring Hydrodynamic Cosmological Simulations

Abramov

Burchett

Elek

et al. 2022

IEEE Trans. Visual. Comput. Graphics

Self Cite

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“…Dark matter filament reconstruction. Polyphorm [EBPF21] is an interactive visualization and filament reconstruction tool that enables the investigation of cosmological datasets (see Fig. 10).…”

Section: Object Reconstructionmentioning

confidence: 99%

“…We separate object reconstruction from feature identification to be compatible with the literature, but we envision a future where these entities are recognized as a continuum. An example of such a continuum is Polyphorm [EBPF21], where the filament reconstruction and interactive visualization are intertwined via a fitting session, where structural or visual parameters are adjusted interactively to produce satisfactory reconstruction results.…”

Section: Object Reconstructionmentioning

confidence: 99%

“…Object reconstruction utilizes and is also constrained by imagery and other observational data obtainable via our vantage point – the Earth and the solar system. The works surveyed here cover 3D object reconstructions using 2D images [SKW∗11, WAG ∗12, WLM13, HA20], distances of young stellar objects [GAM∗18], spectroscopic data [VD11], and extrapolation from sparse datasets such as SDSS [EBPF21], where visualization helps produce plausible reconstructions that provide structural insights for analysis and modeling. Important challenges include scalable computation, trade‐off between automatic reconstruction and expert knowledge, and in particular, physically accurate structural inference with limited observations.…”

Section: Object Reconstructionmentioning

confidence: 99%

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Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth

Lan

Young

Anderson

et al. 2021

Computer Graphics Forum

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We present a state‐of‐the‐art report on visualization in astrophysics. We survey representative papers from both astrophysics and visualization and provide a taxonomy of existing approaches based on data analysis tasks. The approaches are classified based on five categories: data wrangling, data exploration, feature identification, object reconstruction, as well as education and outreach. Our unique contribution is to combine the diverse viewpoints from both astronomers and visualization experts to identify challenges and opportunities for visualization in astrophysics. The main goal is to provide a reference point to bring modern data analysis and visualization techniques to the rich datasets in astrophysics.

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“…Object reconstruction utilizes and is also constrained by imagery and other observational data obtainable via our vantage point -the Earth and the solar system. The works surveyed here cover 3D object reconstructions using 2D images [SKW * 11, WAG * 12, WLM13, HA20], distances of young stellar objects [GAM * 18], spectroscopic data [VD11], and extrapolation from sparse datasets such as SDSS [EBPF21], where visualization helps produce plausible reconstructions that provide structural insights for analysis and modeling. Important challenges include scalable computation, trade-off between automatic reconstruction and expert knowledge, and in particular, physically accurate structural inference with limited observations.…”

Section: Object Reconstructionmentioning

confidence: 99%

Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth

Lan

Young

Anderson

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

We present a state-of-the-art report on visualization in astrophysics. We survey representative papers from both astrophysics and visualization and provide a taxonomy of existing approaches based on data analysis tasks. The approaches are classified based on five categories: data wrangling, data exploration, feature identification, object reconstruction, as well as education and outreach. Our unique contribution is to combine the diverse viewpoints from both astronomers and visualization experts to identify challenges and opportunities for visualization in astrophysics. The main goal is to provide a reference point to bring modern data analysis and visualization techniques to the rich datasets in astrophysics.

show abstract

Polyphorm: Structural Analysis of Cosmological Datasets via Interactive Physarum Polycephalum Visualization

Cited by 10 publications

References 61 publications

CosmoVis: An Interactive Visual Analysis Tool for Exploring Hydrodynamic Cosmological Simulations

CosmoVis: An Interactive Visual Analysis Tool for Exploring Hydrodynamic Cosmological Simulations

Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth

Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth

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