The GRBSN webtool: An open-source repository for gamma-ray burst-supernova associations

IF 1.9 4区物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS

Astronomy and Computing Pub Date : 2025-04-12 DOI:10.1016/j.ascom.2025.100954

Gabriel Finneran, Laura Cotter, Antonio Martin-Carrillo

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引用次数: 0

Abstract

This paper presents the GRBSN webtool, an open-source data repository coupled to a web interface that hosts the most complete dataset of GRB-SN associations to date. In contrast to repositories of supernova (SN) or gamma-ray burst (GRB) data, this tool provides a multi-wavelength view of each GRB-SN association. GRBSN allows users to view and interact with plots of the data; search and filter the whole database; and download radio, X-ray, optical/NIR photometric and spectroscopic data related to a GRB-SN association. The web interface code and GRB-SN data are hosted on a public GitHub repository, allowing users to upload their own data, flag missing data and suggest improvements. The GRBSN webtool will be maintained by the Space Science group at University College Dublin, Ireland. As the number of confirmed GRB-SN associations increases in the coming years, the GRBSN webtool will provide a robust framework in which to catalogue these associations and their associated data. The web interface is available at: https://grbsn.watchertelescope.ie.

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GRBSN网络工具：一个伽马射线爆发-超新星关联的开源存储库

本文介绍了GRBSN webtool，这是一个与web接口耦合的开源数据存储库，它承载了迄今为止最完整的GRB-SN关联数据集。与超新星（SN）或伽马射线暴（GRB）数据库相比，该工具提供了每个GRB-SN关联的多波长视图。GRBSN允许用户查看数据图并与之交互；对整个数据库进行搜索和过滤；下载与GRB-SN关联相关的无线电、x射线、光学/近红外光度和光谱数据。web界面代码和GRB-SN数据托管在公共GitHub存储库上，允许用户上传自己的数据，标记丢失的数据并提出改进建议。GRBSN网络工具将由爱尔兰都柏林大学学院的空间科学小组维护。随着未来几年确认的GRB-SN关联数量的增加，GRBSN网络工具将提供一个强大的框架，用于对这些关联及其相关数据进行分类。web界面可在：https://grbsn.watchertelescope.ie。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.10

自引率

8.00%

发文量

期刊介绍： Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.