KLT-Net reconstructs the SN Ia distance modulus non-parametrically; with MFV M_B and flat-ΛCDM Bayesian/Hessian inference it yields H0 ≈ 69.6 km s⁻¹ Mpc⁻¹ and Ωm ≈ 0.30.
MNRAS495(3), 2630–2644 (2020) https://arxiv.org/abs/1910
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Stellar age analysis of a large Galactic sample gives a cosmic age of 13.73 Gyr, consistent with LambdaCDM but inconsistent with some Hubble tension resolutions implying 12.9 Gyr.
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KAN-LSTM-Transformer Neural Networks, MFV and Cosmological Parameters
KLT-Net reconstructs the SN Ia distance modulus non-parametrically; with MFV M_B and flat-ΛCDM Bayesian/Hessian inference it yields H0 ≈ 69.6 km s⁻¹ Mpc⁻¹ and Ωm ≈ 0.30.
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The age of the Universe from a large sample of the oldest Galactic stars
Stellar age analysis of a large Galactic sample gives a cosmic age of 13.73 Gyr, consistent with LambdaCDM but inconsistent with some Hubble tension resolutions implying 12.9 Gyr.
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