Differentiating Warm Dark Matter Models through 21cm Line Intensity Mapping: A Convolutional Neural Network Approach

Ähnliche Einträge

• Impact of astrophysical effects on the dark matter mass constraint with 21cm intensity mapping
  von: Murakami, Koya, et al.
  Veröffentlicht: (2023)
• Lyman-$α$ forest power spectrum and its cross-correlation with dark matter halos in different astrophysical models
  von: Nakashima, Koichiro, et al.
  Veröffentlicht: (2024)
• Machine Learning Constraints on Dark Matter Annihilation during the Epoch of Reionization: A CNN Analysis of the 21-cm Signal
  von: Nishizawa, Atsushi J., et al.
  Veröffentlicht: (2024)
• Sensitivity toward dark matter annihilation imprints on 21-cm signal with SKA-Low: A convolutional neural network approach
  von: Natwariya, Pravin Kumar, et al.
  Veröffentlicht: (2025)
• Non-Linearity-Free prediction of the growth-rate $fσ_8$ using Convolutional Neural Networks
  von: Murakami, Koya, et al.
  Veröffentlicht: (2023)