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Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms
Computing in Science & Engineering ( IF 2.1 ) Pub Date : 2021-02-04 , DOI: 10.1109/mcse.2021.3057097
Stephanie Juneau 1 , Knut Olsen 1 , Robert Nikutta 1 , Alice Jacques 1 , Stephen Bailey 2
Affiliation  

The advent of increasingly large and complex datasets has fundamentally altered the way that scientists conduct astronomy research. The need to work closely to the data has motivated the creation of online science platforms, which include a suite of software tools and services, therefore going beyond data storage and data access. We present two example applications of Jupyter as a part of astrophysical science platforms for professional researchers and students. First, the Astro Data Lab is developed and operated by NOIRLab with a mission to serve the astronomy community with now over 1500 registered users. Second, the Dark Energy Spectroscopic Instrument science platform serves its geographically distributed team comprising about 900 collaborators from over 90 institutions. We describe the main uses of Jupyter and the interfaces that needed to be created to embed it within science platform ecosystems. We use these examples to illustrate the broader concept of empowering researchers and providing them with access to not only large datasets but also cutting-edge software, tools, and data services without requiring any local installation, which can be relevant for a wide range of disciplines. Future advances may involve science platform networks, and tools for simultaneously developing Jupyter notebooks to facilitate collaborations.

中文翻译:

使用邻近数据的计算平台进行Jupyter启用的天体物理分析

越来越大和复杂的数据集的出现从根本上改变了科学家进行天文学研究的方式。与数据紧密协作的需求推动了在线科学平台的创建,该平台包括一套软件工具和服务,因此不仅限于数据存储和数据访问。作为专业研究人员和学生的天体科学平台的一部分,我们将介绍Jupyter的两个示例应用。首先,Astro数据实验室由NOIRLab开发和运营,其使命是为目前有1500多个注册用户的天文学界提供服务。其次,暗能量光谱仪器科学平台服务于其地理分布的团队,该团队包括来自90多个机构的约900名合作者。我们描述了Jupyter的主要用途以及将其嵌入科学平台生态系统所需的接口。我们使用这些示例来说明更广泛的概念,即赋予研究人员权力,使他们不仅可以访问大型数据集,还可以访问最新的软件,工具和数据服务,而无需任何本地安装,而这可能与广泛的学科相关。未来的发展可能涉及科学平台网络,以及用于同时开发Jupyter笔记本以促进协作的工具。和数据服务,而无需任何本地安装,这可能与广泛的学科有关。未来的发展可能涉及科学平台网络,以及用于同时开发Jupyter笔记本以促进协作的工具。和数据服务,而无需任何本地安装,这可能与广泛的学科有关。未来的发展可能涉及科学平台网络,以及用于同时开发Jupyter笔记本以促进协作的工具。
更新日期:2021-03-30
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