Aflak: Pluggable visual programming environment with quick feedback loop tuned for multi-spectral astrophysical observations

Malik Olivier Boussejra, Kazuya Matsubayashi, Yuriko Takeshima, Shunya Takekawa, Rikuo Uchiki, Makoto Uemura, Issei Fujishiro

研究成果: Conference contribution

抄録

With the improvements of telescopes and proliferation of sky surveys, there is always more astrophysical data to analyze, but not so many astronomers. We present aflak, a visualization environment to analyze astronomical datasets. This paper's contribution lies in that we leverage visual programming techniques to conduct fine-grained astronomical transformations, filtering and visual analyses on multi-spectral datasets, with the possibility for astronomers to interactively fine-tune all the interacting parameters. As the visual program is gradually designed, the computed results can be visualized in real time, thus aflak puts the astronomer in the loop, while managing data provenance at the same time.

本文言語English
ホスト出版物のタイトル2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings
編集者Berk Geveci, Gordon Kindlmann, Luis Gustavo Nonato
出版社Institute of Electrical and Electronics Engineers Inc.
ページ72-76
ページ数5
ISBN(電子版)9781538668825
DOI
出版ステータスPublished - 2018 10
イベント2018 IEEE Scientific Visualization Conference, SciVis 2018 - Berlin, Germany
継続期間: 2018 10 212018 10 26

出版物シリーズ

名前2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings

Conference

Conference2018 IEEE Scientific Visualization Conference, SciVis 2018
国/地域Germany
CityBerlin
Period18/10/2118/10/26

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • メディア記述

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