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Andreas Nygaard

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  1. 2023
  2. Published
    CONNECT: a neural network based framework for emulating cosmological observables and cosmological parameter inference. / Nygaard, Andreas; Holm, Emil Brinch; Hannestad, Steen et al.
    In: Journal of Cosmology and Astroparticle Physics, Vol. 2023, No. 5, 025, 05.2023.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  3. Published
    Decaying dark matter with profile likelihoods. / Holm, Emil Brinch; Herold, Laura; Hannestad, Steen et al.
    In: Physical Review D, Vol. 107, No. 2, L021303, 01.2023.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  4. 2022
  5. Published
    Discovering a new well: Decaying dark matter with profile likelihoods. / Holm, Emil Brinch; Herold, Laura; Hannestad, Steen et al.
    2022.

    Research output: Working paper/Preprint › Preprint

  6. Published
    CONNECT: A neural network based framework for emulating cosmological observables and cosmological parameter inference. / Nygaard, Andreas; Holm, Emil Brinch; Hannestad, Steen et al.
    2022.

    Research output: Working paper/Preprint › Preprint

  7. 2021
  8. Published
    Updated constraints on decaying cold dark matter. / Nygaard, Andreas; Tram, Thomas; Hannestad, Steen.
    In: Journal of Cosmology and Astroparticle Physics, Vol. 2021, No. 5, 017, 05.2021.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review