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Reionization effective likelihood from Planck 2018 data

Journal Article · · Physical Review D
 [1];  [2]
  1. California Institute of Technology (CalTech), Pasadena, CA (United States); UChicago
  2. Univ. of Chicago, IL (United States)
We release relike (reionization effective likelihood), a fast and accurate effective likelihood code based on the latest Planck 2018 data that allows one to constrain any model for reionization between 6 < z < 30 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 model-independent constraints for the total Thomson optical depth τPC = $0.0619$$$$^{+0.0056}_{–0.0068}$$ and its 15 ≤ z ≤ 30 high redshift component τPC(15,30) < 0.020 (95% C.L.). Furthermore, the upper limits on the high-redshift optical depth is a factor of ~3 larger than those reported in the Planck 2018 cosmological parameter paper using the FlexKnot method and we validate our results with a direct analysis of a two-step model which permits this small high-z component.
Research Organization:
Univ. of Chicago, IL (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
SC0009924
OSTI ID:
1821655
Journal Information:
Physical Review D, Journal Name: Physical Review D Journal Issue: 6 Vol. 104; ISSN 2470-0010
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English

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