PINN-based joint reconstruction of H(z) and fσ8(z) coupled through the GR growth equation recovers the input H0 prior exactly, yields fσ8(z) below ΛCDM at all redshifts, and shows Om(z) departure from flat ΛCDM at low z.
Dialektopoulos, Jackson Levi Said, and Jurgen Mifsud
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Joint reconstruction of $H(z)$ and $f\sigma_8(z)$ with physics informed neural networks
PINN-based joint reconstruction of H(z) and fσ8(z) coupled through the GR growth equation recovers the input H0 prior exactly, yields fσ8(z) below ΛCDM at all redshifts, and shows Om(z) departure from flat ΛCDM at low z.