A Gaussian Process reconstruction finds the Type Ia supernova absolute magnitude is consistent with a constant value, with a redshift-averaged M = -19.456 ± 0.059 that is 3.2 sigma below the SH0ES local calibration.
As stated above, the joint distribution is deter- mined by a covariance matrix (kernel) and a prior mean function, µ
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Reconstructing the redshift evolution of Type Ia supernovae absolute magnitude
A Gaussian Process reconstruction finds the Type Ia supernova absolute magnitude is consistent with a constant value, with a redshift-averaged M = -19.456 ± 0.059 that is 3.2 sigma below the SH0ES local calibration.