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  1. SAFe Program
  2. SP-4171

Add metadata to LOFAR images on Rucio

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    • SRCnet
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      Enabling metadata searching of LOFAR LOTSS images using astroquery will show a more realistic user approach to searching for data.

      Adding metadata for the 15 images currently there will enable a range of SRC workload tasks to be demonstrated.

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      Enabling metadata searching of LOFAR LOTSS images using astroquery will show a more realistic user approach to searching for data. Adding metadata for the 15 images currently there will enable a range of SRC workload tasks to be demonstrated.
    • Hide

      AC1: Enable metadata searching of LOFAR LOTSS images using astroquery

      AC2: Demonstrate the source-finding task in a CANFAR notebook by doing a cone search on RA & DEC that returns a list of images.

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      AC1: Enable metadata searching of LOFAR LOTSS images using astroquery AC2: Demonstrate the source-finding task in a CANFAR notebook by doing a cone search on RA & DEC that returns a list of images.
    • 0.5
    • 0.5
    • 0
    • Team_MAGENTA
    • Sprint 5
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      AC1: (see attached screenshot)

      AC2: Demoed previously with https://drive.google.com/drive/u/1/folders/1wzGSTBUprxpNfpHJqzh2QCAmJSjwhXoN

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      AC1: (see attached screenshot) AC2: Demoed previously with https://drive.google.com/drive/u/1/folders/1wzGSTBUprxpNfpHJqzh2QCAmJSjwhXoN
    • 22.6
    • Stories Completed, Demonstrated, Satisfies Acceptance Criteria, Accepted by FO

    • PI24 - UNCOVERED

    • PI22 example-workflows-and-benchmarks

    Description

      There are 15 LOFAR LOTSS images already uploaded to Rucio, but they do not have metadata attached. So users have to know the path when using astroquery. By assigning metadata to these images we can do a cone search and automate data discovery for tasks like source-finding.

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          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-4170 We are able to test workflows against a huge (real) data set

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                r.bolton Bolton, Rosie
                A.Clarke Clarke, Alex
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 0.5

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                  Total23.0

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