Volume 635, March 2020
|Number of page(s)||10|
|Section||Cosmology (including clusters of galaxies)|
|Published online||16 March 2020|
Reionization optical depth determination from Planck HFI data with ten percent accuracy
Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara and INFN – Sezione di Ferrara, Via Saragat 1, 44122 Ferrara, Italy
e-mail: email@example.com, firstname.lastname@example.org
2 Institut d’Astrophysique Spatiale, CNRS, Univ. Paris-Sud, Université Paris-Saclay, Bât. 121, 91405 Orsay Cedex, France
3 Institut d’Astrophysique de Paris, CNRS (UMR7095), 98bis boulevard Arago, 75014 Paris, France
4 LERMA, Sorbonne Université, Observatoire de Paris, Université PSL, École Normale Supérieure, CNRS, Paris, France
5 Laboratoire d’Océanographie Physique et Spatiale (LOPS), Univ. Brest, CNRS, Ifremer, IRD, Brest, France
6 Sorbonne Université, UMR7095, 98bis boulevard Arago, 75014 Paris, France
Accepted: 26 January 2020
We present an estimation of the reionization optical depth τ from an improved analysis of data from the High Frequency Instrument (HFI) on board the Planck satellite. By using an improved version of the HFI map-making code, we greatly reduce the residual large-scale contamination affecting the data, characterised in, but not fully removed from, the Planck 2018 legacy release. This brings the dipole distortion systematic effect, contaminating the very low multipoles, below the noise level. On large-scale polarization-only data, we measure τ = 0.0566−0.0062+0.0053 at 68% C.L., reducing the Planck 2018 legacy release uncertainty by ∼40%. Within the ΛCDM model, in combination with the Planck large-scale temperature likelihood, and the high-ℓ temperature and polarization likelihood, we measure τ = 0.059 ± 0.006 at 68% C.L., which corresponds to a mid-point reionization redshift of zre = 8.14 ± 0.61 at 68% C.L. This estimation of the reionization optical depth with 10% accuracy is the strongest constraint to date.
Key words: cosmic background radiation / dark ages, reionization, first stars / methods: data analysis
© ESO 2020
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