TL;DR
RELIKE provides a fast, accurate likelihood tool based on Planck 2018 data, enabling constraints on reionization models between redshifts 6 and 30, and facilitating integration with other observational data.
Contribution
It introduces a novel effective likelihood code for reionization constraints that is versatile and compatible with various models and datasets, improving upon previous methods.
Findings
Derived model-independent constraints on total Thomson optical depth.
Validated the code with example models showing excellent agreement.
Provided upper limits on high-redshift optical depth, larger than previous estimates.
Abstract
We release RELIKE (Reionization Effective Likelihood), a fast and accurate effective likelihood code based on the latest Planck 2018 data that allows one constrain any model for reionization between using five constraints from the CMB reionization principal components (PC). We tested the code on two example models which showed excellent agreement with sampling the exact Planck likelihoods using either a simple Gaussian PC likelihood or its full kernel density estimate. This code enables a fast and consistent means for combining Planck constraints with other reionization data sets, such as kinetic Sunyaev-Zeldovich effects, line-intensity mapping, luminosity function, star formation history, quasar spectra, etc, where the redshift dependence of the ionization history is important. Since the PC technique tests any reionization history in the given range, we also derive…
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