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Cameron Hummels

dblp:267/3819 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-3817-8133ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
scientific visualization
0.612022
CosmoVis: An Interactive Visual Analysis Tool for Exploring Hydrodynamic Cosmological Simulations · IEEE Trans. Vis. Comput. Graph. 2022
Computational science and engineering › astronomy
astrophysics
0.212022
CosmoVis: An Interactive Visual Analysis Tool for Exploring Hydrodynamic Cosmological Simulations · IEEE Trans. Vis. Comput. Graph. 2022
Computational science and engineering › cosmology
cosmological simulation
0.212022
CosmoVis: An Interactive Visual Analysis Tool for Exploring Hydrodynamic Cosmological Simulations · IEEE Trans. Vis. Comput. Graph. 2022

Methods — techniques the papers use, named apart from their topics

web-based visualization · 1.1virtual skewers · 1.1client-server architecture · 1.1
YearPublicationVenuePosition
2022 CosmoVis: An Interactive Visual Analysis Tool for Exploring Hydrodynamic Cosmological Simulations
abstract
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.
David Abramov, Joseph N. Burchett, Oskar Elek, Cameron Hummels, J. Xavier Prochaska, Angus G. Forbes
IEEE Trans. Vis. Comput. Graph.4