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"Augmenting astrophysical scaling relations with machine learning : ..."

Digvijay Wadekar et al. (2022)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2024-05-07

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2201-01305
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2201-01305
Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro, J. Colin Hill, David N. Spergel, Miles D. Cranmer, Nicholas Battaglia, Daniel Anglés-Alcázar, Lars Hernquist, Shirley Ho:
Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter. CoRR abs/2201.01305 (2022)

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