aflak: Visual programming environment with macro support for collaborative and exploratory astronomical analysis

投稿者: 藤代 一成 投稿日:

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

IIEEJ Transactions on Image Electronics and Visual Computing, Vol. 7, No. 2, pp. 116–127, December 2019

Abstract
This paper describes an extendable graphical framework, “aflak”, which provides a collaborative visualization environment for the analysis of multi-spectral astronomical datasets. aflak allows the astronomer to share and define analytic pipelines through a node editing interface, in which the user can compose together a set of built-in transforms (e.g. dataset import, integration, Gaussian fit) over astronomical datasets. Not only is aflak fast and responsive, but its macro can be conveniently exported, imported and shared among researchers using a custom data interchange format.  aflak, while providing domain-specific features for astronomy, enables collaboration through shareability, guarantees end-to-end tools used in asrtonomy for specific use cases, such as the computing of equivalent widths. Finally, the paper demonstrates that aflak provides a reference implementation for the  ProvenanceDM data model.

2019年の業績ページはこちら

カテゴリー: 2019国際学術誌

0件のコメント

コメントを残す

アバタープレースホルダー

メールアドレスが公開されることはありません。 が付いている欄は必須項目です