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  Halo assembly bias from a deep learning model of halo formation

Lucie-Smith, L., Barreira, A., & Schmidt, F. (2023). Halo assembly bias from a deep learning model of halo formation. Monthly Notices of the Royal Astronomical Society, 524(2), 1746-1756. doi:10.1093/mnras/stad2003.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-EAD3-D Version Permalink: https://hdl.handle.net/21.11116/0000-000D-EAD4-C
Genre: Journal Article

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 Creators:
Lucie-Smith, Luisa1, Author           
Barreira, Alexandre, Author
Schmidt, Fabian1, Author           
Affiliations:
1Physical Cosmology, MPI for Astrophysics, Max Planck Society, ou_2205644              

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Language(s): eng - English
 Dates: 2023-07-05
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/mnras/stad2003
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Title: Monthly Notices of the Royal Astronomical Society
  Other : Mon. Not. R. Astron. Soc.
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 524 (2) Sequence Number: - Start / End Page: 1746 - 1756 Identifier: ISSN: 1365-8711
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000024150