Explaining Dark Matter Halo Density Profiles with Neural Networks-Reference-Cited by-同舟云学术

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Explaining Dark Matter Halo Density Profiles with Neural Networks

Published:2024-01-19 Issue:3 Volume:132 Page:
ISSN:0031-9007
Container-title:Physical Review Letters
language:en
Short-container-title:Phys. Rev. Lett.

Author:

Lucie-Smith Luisa^ORCID,Peiris Hiranya V.,Pontzen Andrew

Funder

H2020 European Research Council

Horizon 2020 Framework Programme

Knut och Alice Wallenbergs Stiftelse

Göran Gustafssons Stiftelser

Royal Society

Aspen Center for Physics

National Science Foundation

Simons Foundation

UCL Cosmoparticle Initiative

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.132.031001/fulltext

Reference66 articles.

1. The statistics of peaks of Gaussian random fields

2. Formation of galaxies and large-scale structure with cold dark matter

3. The evolution of large-scale structure in a universe dominated by cold dark matter

4. The formation of dark halos in a universe dominated by cold dark matter

5. Galaxy formation through hierarchical clustering

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning insights into non-universality in the halo mass function;Monthly Notices of the Royal Astronomical Society;2024-07-10

2. Representation learning approach to probe for dynamical dark energy in matter power spectra;Physical Review D;2024-07-09

3. A deep-learning model for the density profiles of subhaloes in IllustrisTNG;Monthly Notices of the Royal Astronomical Society;2024-06-13

4. From inflation to dark matter halo profiles: the impact of primordial non-Gaussianities on the central density cusp;Journal of Cosmology and Astroparticle Physics;2024-05-01

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