Machine Learning-Driven Analysis of kSZ Maps to Predict CMB Optical Depth $τ$

Documenti analoghi

• CMA-ES with Radial Basis Function Surrogate for Black-Box Optimization
  di: Khouzani, Farshid Farhadi, et al.
  Pubblicazione: (2025)
• Prospects for ${\rm kSZ^2}$-${\rm 21cm^2}$ Cross-Correlations during Reionization
  di: Zhou, Meng, et al.
  Pubblicazione: (2025)
• kSZ Pairwise Velocity Reconstruction with Machine Learning
  di: Gong, Yulin, et al.
  Pubblicazione: (2024)
• Probing Gravity at Large Scales with kSZ-Reconstructed Velocities and CMB Lensing
  di: Patki, Raagini, et al.
  Pubblicazione: (2025)
• Probing the Physics of Reionization Using kSZ Power Spectrum from Current and Upcoming CMB Surveys
  di: Jain, Divesh, et al.
  Pubblicazione: (2023)