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SKAO Science Data Challenge 1 Solution Workflow

The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelescope.org/ska-science-data-challenge-1/) tasked participants with identifying and classifying sources in synthetic radio images. Here we present an environment and workflow for producing a solution to this challenge that can easil...

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contributors
202 commitsLast commit ≈ 39 months ago2 stars5 forks

Cite this software

DOI:

10.5281/zenodo.5526843

Description

The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelescope.org/ska-science-data-challenge-1/) tasked participants with identifying and classifying sources in synthetic radio images.
Here we present an environment and workflow for producing a solution to this challenge that can easily be reproduced and developed further.

Keywords
Astronomy
data
Machine learning
skao
source finding
Programming languages
  • Python 72%
  • Jupyter Notebook 22%
  • Shell 4%
  • Dockerfile 2%
  • Makefile 0%
License
</>Source code

Contributors

JC
James Collinson
SKA Observatory
AC
Alex Clarke
SKA Observatory
RB
Rob Barnsley
SKA Observatory
RJ
Rohini Joshi
SKA Observatory

Member of community

Escape-OSSR