Discovering the building blocks of dark matter halo density profiles with neural networks

HIGHLIGHTS

• who: Luisa Lucie-Smith and colleagues from the fu00fcr Astrophysik, Karl-Schwarzschild-Strau00dfe, Garching, Germany University College have published the Article: Discovering the building blocks of dark matter halo density profiles with neural networks, in the Journal: (JOURNAL) of 27/05/2022
• what: The authors show that the model recovers the widely used Navarro-Frenk-White profile out to the virial radius and can additionally describe the variability in the outer profile of the halos. The authors investigate whether neural_networks can be used to discover such components from unprocessed raw data. The authors design a . . .
  

   

  

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