A heuristic power-spectrum rescaling applied to DESI DR1 BAO data plus CMB acoustic scale anchor yields H0 values of 69.2 to 70.3 km/s/Mpc at sub-2% precision across three independent late-time datasets.
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Cross-check finds good agreement between DESI BAO and DES SNe distances in transverse measures but a mild, method-dependent decreasing trend in radial distances.
Review of machine learning applications for analyzing Lyman-alpha forest observations to probe cosmology, reionization, and dark matter.
citing papers explorer
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$H_0$ Without the Sound Horizon (or Supernovae): A 2% Measurement in DESI DR1
A heuristic power-spectrum rescaling applied to DESI DR1 BAO data plus CMB acoustic scale anchor yields H0 values of 69.2 to 70.3 km/s/Mpc at sub-2% precision across three independent late-time datasets.
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Crosschecking Cosmic Distances from DESI BAO and DES SNe
Cross-check finds good agreement between DESI BAO and DES SNe distances in transverse measures but a mild, method-dependent decreasing trend in radial distances.
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Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest
Review of machine learning applications for analyzing Lyman-alpha forest observations to probe cosmology, reionization, and dark matter.
- Evidence of dynamical dark energy found via the DESI DR2 Lyman$\alpha$ forest