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David Abramov

dblp:254/3013 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0003-0356-3637ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 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.1
2019 IGM-Vis: Analyzing Intergalactic and Circumgalactic Medium Absorption Using Quasar Sightlines in a Cosmic Web Context
abstract
Abstract We introduce IGM‐Vis, a novel astrophysics visualization and data analysis application for investigating galaxies and the gas that surrounds them in context with their larger scale environment, the Cosmic Web. Environment is an important factor in the evolution of galaxies from actively forming stars to quiescent states with little, if any, discernible star formation activity. The gaseous halos of galaxies (the circumgalactic medium, or CGM) play a critical role in their evolution, because the gas necessary to fuel star formation and any gas expelled from widely observed galactic winds must encounter this interface region between galaxies and the intergalactic medium (IGM). We present a taxonomy of tasks typically employed in IGM/CGM studies informed by a survey of astrophysicists at various career levels, and demonstrate how these tasks are facilitated via the use of our visualization software. Finally, we evaluate the effectiveness of IGM‐Vis through two in‐depth use cases that depict real‐world analysis sessions that use IGM/CGM data.
Joseph N. Burchett, David Abramov, Jasmine Otto, Cassia Artanegara, J. Xavier Prochaska, Angus G. Forbes
Comput. Graph. Forum2