A simplified likelihood treating photometric contamination as a redshift-dependent Gaussian mean shift is strongly favored by Bayes factor over the BEAMS two-component model and improves cosmological constraints on the DES-Dovekie sample.
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Forecasts show that ~66 optical GRBs can achieve σ_w ≈ 0.47 in wCDM using Dainotti relations, matching Planck precision and enabling independent high-redshift tests of dark energy.
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Modeling the probability distribution for cosmological analysis with photometrically classified samples
A simplified likelihood treating photometric contamination as a redshift-dependent Gaussian mean shift is strongly favored by Bayes factor over the BEAMS two-component model and improves cosmological constraints on the DES-Dovekie sample.
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Gamma-Ray Bursts as an Independent High-Redshift Probe of Dark Energy
Forecasts show that ~66 optical GRBs can achieve σ_w ≈ 0.47 in wCDM using Dainotti relations, matching Planck precision and enabling independent high-redshift tests of dark energy.
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