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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings
EditorsBerk Geveci, Gordon Kindlmann, Luis Gustavo Nonato
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-76
Number of pages5
ISBN (Electronic)9781538668825
DOIs
Publication statusPublished - 2018 Oct
Event2018 IEEE Scientific Visualization Conference, SciVis 2018 - Berlin, Germany
Duration: 2018 Oct 212018 Oct 26

Publication series

Name2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings

Conference

Conference2018 IEEE Scientific Visualization Conference, SciVis 2018
CountryGermany
CityBerlin
Period18/10/2118/10/26

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Telescopes
Visualization
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Keywords

  • Applied computing
  • Astronomy
  • Human-centered computing
  • Physical sciences and engineering
  • Visualization
  • Visualization systems and tools
  • Visualization toolkits

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Media Technology

Cite this

Boussejra, M. O., Matsubayashi, K., Takeshima, Y., Takekawa, S., Uchiki, R., Uemura, M., & Fujishiro, I. (2018). Aflak: Pluggable visual programming environment with quick feedback loop tuned for multi-spectral astrophysical observations. In B. Geveci, G. Kindlmann, & L. G. Nonato (Eds.), 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings (pp. 72-76). [8823788] (2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SciVis.2018.8823788

Aflak : Pluggable visual programming environment with quick feedback loop tuned for multi-spectral astrophysical observations. / Boussejra, Malik Olivier; Matsubayashi, Kazuya; Takeshima, Yuriko; Takekawa, Shunya; Uchiki, Rikuo; Uemura, Makoto; Fujishiro, Issei.

2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings. ed. / Berk Geveci; Gordon Kindlmann; Luis Gustavo Nonato. Institute of Electrical and Electronics Engineers Inc., 2018. p. 72-76 8823788 (2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Boussejra, MO, Matsubayashi, K, Takeshima, Y, Takekawa, S, Uchiki, R, Uemura, M & Fujishiro, I 2018, Aflak: Pluggable visual programming environment with quick feedback loop tuned for multi-spectral astrophysical observations. in B Geveci, G Kindlmann & LG Nonato (eds), 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings., 8823788, 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 72-76, 2018 IEEE Scientific Visualization Conference, SciVis 2018, Berlin, Germany, 18/10/21. https://doi.org/10.1109/SciVis.2018.8823788
Boussejra MO, Matsubayashi K, Takeshima Y, Takekawa S, Uchiki R, Uemura M et al. Aflak: Pluggable visual programming environment with quick feedback loop tuned for multi-spectral astrophysical observations. In Geveci B, Kindlmann G, Nonato LG, editors, 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 72-76. 8823788. (2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings). https://doi.org/10.1109/SciVis.2018.8823788
Boussejra, Malik Olivier ; Matsubayashi, Kazuya ; Takeshima, Yuriko ; Takekawa, Shunya ; Uchiki, Rikuo ; Uemura, Makoto ; Fujishiro, Issei. / Aflak : Pluggable visual programming environment with quick feedback loop tuned for multi-spectral astrophysical observations. 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings. editor / Berk Geveci ; Gordon Kindlmann ; Luis Gustavo Nonato. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 72-76 (2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings).
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