A JAX pipeline that emulates both the Lyα forest power spectrum and its model-dependent covariance with neural networks, then runs Hamiltonian Monte Carlo, recovers reionization-history parameters from mock observations.
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum
A JAX pipeline that emulates both the Lyα forest power spectrum and its model-dependent covariance with neural networks, then runs Hamiltonian Monte Carlo, recovers reionization-history parameters from mock observations.