Averaging reductions and asymptotic theorems are derived for oscillatory scalar fields, with exact quadrature solutions for t(a), phi(a), and H(a) in general relativistic, anisotropic, and brane-world cosmologies.
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Neural networks calibrate 2D and 3D Dainotti relations on the Platinum GRB sample via ANN-driven MCMC to produce a model-independent Hubble diagram with reduced scatter.
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Asymptotic Theorems and Averaging in Scalar Field Cosmology
Averaging reductions and asymptotic theorems are derived for oscillatory scalar fields, with exact quadrature solutions for t(a), phi(a), and H(a) in general relativistic, anisotropic, and brane-world cosmologies.
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Model-independent calibration of Gamma-Ray Bursts with neural networks
Neural networks calibrate 2D and 3D Dainotti relations on the Platinum GRB sample via ANN-driven MCMC to produce a model-independent Hubble diagram with reduced scatter.