Constraining the Hubble Constant with a Simulated Full Covariance Matrix Using Neural Networks

Documenti analoghi

• Comparative Analysis of EMCEE, Gaussian Process, and Masked Autoregressive Flow in Constraining the Hubble Constant Using Cosmic Chronometers Dataset
  di: Niu, Jing, et al.
  Pubblicazione: (2025)
• Estimating Cosmological Parameters and Reconstructing Hubble Constant with Artificial Neural Networks: A Test with covariance matrix and mock H(z)
  di: Chen, Jie-feng, et al.
  Pubblicazione: (2024)
• Model-independent measurement of the Hubble Constant and the absolute magnitude of Type Ia Supernovae
  di: Zhang, Jian-Chen, et al.
  Pubblicazione: (2021)
• FLRW Kinematic-Induced Measurement of the Hubble Constant from Cosmic Chronometer and Redshift Drift Observations
  di: Jiao, Kang, et al.
  Pubblicazione: (2025)
• Inferring the Hubble Constant Using Simulated Strongly Lensed Supernovae and Neural Network Ensembles
  di: Gonçalves, Gonçalo, et al.
  Pubblicazione: (2025)