TY - GEN
T1 - Aflak
T2 - 2018 IEEE Scientific Visualization Conference, SciVis 2018
AU - Boussejra, Malik Olivier
AU - Matsubayashi, Kazuya
AU - Takeshima, Yuriko
AU - Takekawa, Shunya
AU - Uchiki, Rikuo
AU - Uemura, Makoto
AU - Fujishiro, Issei
N1 - Funding Information:
This work is supported by JSPS KAKENHI Grant Numbers 17K00173 and 17H00737.
Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2018/10
Y1 - 2018/10
N2 - 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.
AB - 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.
KW - Applied computing
KW - Astronomy
KW - Human-centered computing
KW - Physical sciences and engineering
KW - Visualization
KW - Visualization systems and tools
KW - Visualization toolkits
UR - http://www.scopus.com/inward/record.url?scp=85072987222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072987222&partnerID=8YFLogxK
U2 - 10.1109/SciVis.2018.8823788
DO - 10.1109/SciVis.2018.8823788
M3 - Conference contribution
AN - SCOPUS:85072987222
T3 - 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings
SP - 72
EP - 76
BT - 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings
A2 - Geveci, Berk
A2 - Kindlmann, Gordon
A2 - Nonato, Luis Gustavo
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 October 2018 through 26 October 2018
ER -