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Dr Matthew Chan

Research student

  1. 2022
  2. Published

    AutoEnRichness: A hybrid empirical and analytical approach for estimating the richness of galaxy clusters: Estimating Galaxy Cluster Richness

    Chan, M. & Stott, J., 24/08/2022, In: Monthly Notices of the Royal Astronomical Society. 516, 1, p. 316-335 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Galaxy Cluster Detection and Characterisation in the Big Data Era

    Chan, M., 15/08/2022, Lancaster University. 245 p.

    Research output: ThesisDoctoral Thesis

  4. Published

    AI Fairness: from Principles to Practice

    Bateni, A., Chan, M. & Eitel-Porter, R., 20/07/2022, In: arXiv. 21 p.

    Research output: Contribution to Journal/MagazineJournal article

  5. 2021
  6. Published

    Z-Sequence: photometric redshift predictions for galaxy clusters with sequential random k-nearest neighbours: Estimating Photometric Redshifts Of Clusters

    Chan, M. & Stott, J., 30/06/2021, In: Monthly Notices of the Royal Astronomical Society. 503, 4, p. 6078-6097 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. 2019
  8. Published

    Deep-CEE I: Fishing for Galaxy Clusters with Deep Neural Nets: A Deep Learning Search for Galaxy Clusters

    Chan, M. C. & Stott, J. P., 1/12/2019, In: Monthly Notices of the Royal Astronomical Society. 490, 4, p. 5770–5787 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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