A physics-informed neural network reproduces the dark energy background evolution for five EoS parameterizations; MCMC with Pantheon+ data yields constraints consistent with LambdaCDM, with little speed gain over direct analytic evaluation.
Spurio Mancini and A
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Cosmology-informed Neural Networks to infer dark energy equation-of-state
A physics-informed neural network reproduces the dark energy background evolution for five EoS parameterizations; MCMC with Pantheon+ data yields constraints consistent with LambdaCDM, with little speed gain over direct analytic evaluation.