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SKA SDC3
  • Overview
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    • Foregrounds
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SKA SDC3
  • Overview
  • Challenges
    • Foregrounds
      • Scoring code
      • Teams
      • Leaderboard
      • Rules
      • Data
      • Test Data
    • Inference
      • Scoring code
      • Teams
      • Leaderboard
      • Rules
      • Data
      • Test data
  • HPC Partners
    • ASTRON/SURF
    • CESGA
    • ChinaSRC
    • GENCI-IDRIS
    • INAF
    • IRIS-CAM
    • IRIS-MAN
    • JPSRC
    • SPSRC
    • Swiss SRC
    • UC-LCA
  • Registration
    • Foregrounds
    • Inference
  • Reproducibility Badges
  • Forum
  • FAQs
  • More
    • Overview
    • Challenges
      • Foregrounds
        • Scoring code
        • Teams
        • Leaderboard
        • Rules
        • Data
        • Test Data
      • Inference
        • Scoring code
        • Teams
        • Leaderboard
        • Rules
        • Data
        • Test data
    • HPC Partners
      • ASTRON/SURF
      • CESGA
      • ChinaSRC
      • GENCI-IDRIS
      • INAF
      • IRIS-CAM
      • IRIS-MAN
      • JPSRC
      • SPSRC
      • Swiss SRC
      • UC-LCA
    • Registration
      • Foregrounds
      • Inference
    • Reproducibility Badges
    • Forum
    • FAQs

Science Data Challenge 3

Foregrounds

Scoring

Teams

Leaderboard

Rules

Data

Test Data

Our 'Foregrounds' challenge asks participants to remove obscuring sources of emission which prevent analysis of the underlying hydrogen-21cm signal from the Epoch of Reionisation. This foreground emission stems from both Galactic and extragalactic sources, both of which have previously observed, and unobserved components.

Given the lack of a model for the finer structure of Galactic emission at SKA-LOW frequencies, the removal of Galactic emission from the dataset represents a significant challenge. By similar reasoning, source confusion from previously unknown extragalactic sources, especially at the coarser resolution at metre-wavelengths, complicates the matter further.

From our synthetic datasets, participants are asked to extract the cylindrically-averaged power spectrum of the EoR signal, clean from foregrounds contamination. 

To assess resulting submissions, our scoring ('figure-of-merit') algorithms will take resulting cylindrical power spectra, and return a score. Ancillary analytical data products can be assessed, however, the cylindrical power spectra results will be the only ones that affect the 'leaderboard'. Given that this challenge runs over 6 months, we expect this to be an iterative process and encourage competing teams to make full use of the computing facilities assigned to them.

© SKAO 2022SKASDC3 (at) skao.intData Protection Notice
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