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Working with the Hubble Space Telescope Public Data on Amazon Web Services

机译:与哈勃空间望远镜的公共数据在亚马逊Web服务上工作

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In May 2018 STScI announced that ~110 TB of archival observations from the Hubble Space Telescope are available in cloud storage on Amazon Web Services. This tutorial provides an introduction to accessing this dataset and to AWS cloud computing in general for users who have not previously used cloud resources. We demonstrate how to access the Hubble Public Dataset on AWS in order to carry out a variety of tasks. Participants are introduced to the astroquery.mast and boto3 Python client libraries. We demonstrate operations with the data such as retrieving, displaying and running analysis on single images. We then show how to scale up analysis through serverless computing. Finally we browse some advanced capabilities such as logging, price estimation and machine learning. The tutorial is geared toward novice AWS users. Intermediate Python knowledge is strongly recommended.
机译:2018年5月,STSCI宣布,哈勃空间望远镜〜110 TB档案观测可在亚马逊Web服务上进行云存储。本教程提供了访问此数据集的介绍,并为AWS云计算,一般来说,对于先前没有云资源的用户。我们演示了如何访问AWS上的Hubble公共数据集,以便执行各种任务。参与者被介绍给AstroQuery.mast和Boto3 Python客户端库。我们展示了数据的操作,例如在单个图像上检索,显示和运行分析。然后,我们展示了如何通过无法计算来扩展分析。最后,我们浏览了一些高级功能,如测井,价格估算和机器学习。该教程旨在朝新手AWS用户进行。强烈建议使用中间Python知识。

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