Cosmological inference from the eBOSS QSO full-shape analysis with optimal redshift weights
Xiaoyong Mu, Zhuo-Heng Li, Wentao Luo, Yuting Wang, Gong-Bo Zhao
astro-ph.CO
Submitted: 2026-06-27
Comments: 12 pages, 9 figures, comments welcome
Code: https://github.com/zhaoruiyang98/eftpipe
License: http://creativecommons.org/licenses/by/4.0/
The gist: We present a full-shape power-spectrum analysis of the eBOSS DR16 quasar sample with optimal redshift weights.
Terminology
Abstract
We present a full-shape power-spectrum analysis of the eBOSS DR16 quasar sample with optimal redshift weights. The DR16 QSO catalog contains 343,708 quasars over 0.8<z<2.2, a redshift interval broad enough to contain useful light-cone evolution but not naturally captured by a single effective-redshift measurement. We construct Karhunen--Lo`eve weights for the parameters of interest and measure the resulting monopole and quadrupole with a cross-correlation estimator, which remains well defined for sign-changing weights. The theoretical spectra are convolved with the measured Fourier-space survey-window kernels for each Galactic cap and weighting scheme, and both the covariance matrix and the end-to-end validation are based on 1000 EZ light-cone mock catalogs. In CDM, the redshift-weighted and standard analyses give consistent constraints, as expected from the near-standard effective redshifts of the weights targeting h, m, and A s. In the Chevallier--Polarski--Linder (CPL) model, the redshift-weighted DR16 analysis reduces the marginalized uncertainties on H 0, sigma 8, and w 0 by 43.3%, 19.7%, and 20.5%, respectively, and turns the standard one-sided constraint on w a into a bounded posterior, w a=-0.98+1.0-1.3. The gain is therefore concentrated where the model contains genuine redshift evolution, demonstrating that optimal redshift weighting can recover tomographic information from a wide QSO light cone while keeping the full-shape data vector compact.
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