aflak: Pluggable Visual Programming Environment with Quick Feedback Loop Tuned for Multi-Spectral Astrophysical Observations

Malik Olivier Boussejra, K. Matsubayashi, Yuriko Takeshima, S. Takekawa, Rikuo Uchiki, M. Uemura, I. Fujishiro
{"title":"aflak: Pluggable Visual Programming Environment with Quick Feedback Loop Tuned for Multi-Spectral Astrophysical Observations","authors":"Malik Olivier Boussejra, K. Matsubayashi, Yuriko Takeshima, S. Takekawa, Rikuo Uchiki, M. Uemura, I. Fujishiro","doi":"10.1109/SciVis.2018.8823788","DOIUrl":null,"url":null,"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.","PeriodicalId":306021,"journal":{"name":"2018 IEEE Scientific Visualization Conference (SciVis)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Scientific Visualization Conference (SciVis)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SciVis.2018.8823788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

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.
用于多光谱天体物理观测的快速反馈回路的可插拔可视化编程环境
随着望远镜的改进和天空调查的增加,总是有更多的天体物理数据需要分析,但没有那么多天文学家。我们提出了aflak,一个可视化的环境来分析天文数据集。本文的贡献在于我们利用可视化编程技术对多光谱数据集进行细粒度的天文转换、过滤和可视化分析,使天文学家能够交互式微调所有相互作用的参数。随着可视化程序的逐步设计,计算结果可以实时可视化,从而使aflak将天文学家置于循环中,同时管理数据来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信