TL;DR
This paper introduces a matrix-based framework and Python toolbox for analyzing galaxy power spectrum multipoles, accounting for survey effects, and applies it to multiple datasets, simplifying cosmological analysis.
Contribution
It presents a new, survey-agnostic analysis method for galaxy power spectra, including wide-angle effects and window functions, with publicly available tools and detailed guidance.
Findings
Deconvolved power spectra match standard BAO analysis results.
Framework effectively accounts for survey window and wide-angle effects.
Tools facilitate broader access to galaxy survey data analysis.
Abstract
We make use of recent developments in the analysis of galaxy redshift surveys to present an easy to use matrix-based analysis framework for the galaxy power spectrum multipoles, including wide-angle effects and the survey window function. We employ this framework to derive the deconvolved power spectrum multipoles of 6dFGS DR3, BOSS DR12 and the eBOSS DR16 quasar sample. As an alternative to the standard analysis, the deconvolved power spectrum multipoles can be used to perform a data analysis agnostic of survey specific aspects, like the window function. We show that in the case of the BOSS dataset, the Baryon Acoustic Oscillation (BAO) analysis using the deconvolved power spectra results in the same likelihood as the standard analysis. To facilitate the analysis based on both the convolved and deconvolved power spectrum measurements, we provide the window function matrices, wide-angle…
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