A multi-eigenbasis denoising technique using mock reference and classifier eigenbases is introduced and shown on held-out mocks to outperform smoothing for covariance estimation in Lyα forest analyses.
Baryon acoustic oscillations from the cross-correlation of Ly absorption and quasars in eBOSS DR14
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
Cross-correlation of CLAMATO Lyman-alpha forest with COSMOS galaxies yields stellar-mass-dependent biases of approximately 2.1, 3.2, and 3.8, corresponding to halo masses of log M_h ~ 10.5, 11.7, and 12.1 from Bolshoi-Planck mocks, with hints of enhanced low-mass star formation.
Observational constraints on a dark energy EoS parametrization in curved spacetime yield α ≈ 0.35 (0.56) and Ω_k0 that changes sign with ANN data reconstruction.
citing papers explorer
-
A multi-eigenbasis approach to covariance matrix denoising for cosmological inference
A multi-eigenbasis denoising technique using mock reference and classifier eigenbases is introduced and shown on held-out mocks to outperform smoothing for covariance estimation in Lyα forest analyses.
-
Cross-correlations between the CLAMATO Lyman-alpha forest and galaxies within the COSMOS field
Cross-correlation of CLAMATO Lyman-alpha forest with COSMOS galaxies yields stellar-mass-dependent biases of approximately 2.1, 3.2, and 3.8, corresponding to halo masses of log M_h ~ 10.5, 11.7, and 12.1 from Bolshoi-Planck mocks, with hints of enhanced low-mass star formation.
-
Constraining Dark Energy Dynamics in Curved Spacetime with Current Observations
Observational constraints on a dark energy EoS parametrization in curved spacetime yield α ≈ 0.35 (0.56) and Ω_k0 that changes sign with ANN data reconstruction.