Reionization optical depth determination from Planck HFI data with ten percent accuracy

التفاصيل البيبلوغرافية
العنوان: Reionization optical depth determination from Planck HFI data with ten percent accuracy
المؤلفون: S. Mottet, L. Pagano, J.-M. Delouis, J. L. Puget, L. Vibert
المساهمون: Institut d'astrophysique spatiale (IAS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
المصدر: Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, EDP Sciences, 2020, 635, pp.A99. ⟨10.1051/0004-6361/201936630⟩
Astronomy & Astrophysics (0004-6361) (Edp Sciences S A), 2020-03, Vol. 635, N. A99, P. 10p.
بيانات النشر: HAL CCSD, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Cosmology and Nongalactic Astrophysics (astro-ph.CO), first stars, data analysis, Cosmic background radiation, FOS: Physical sciences, cosmic background radiation, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, NO, methods, symbols.namesake, Distortion, 0103 physical sciences, Optical depth (astrophysics), data analysis [methods], dark ages, reionization, first stars, dark ages, Planck, 010303 astronomy & astrophysics, Reionization, Physics, 010308 nuclear & particles physics, Astronomy and Astrophysics, methods: data analysis, Redshift, Space and Planetary Science, symbols, Data analysis, Dark Ages, reionization, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics, cosmic background radiation, dark ages, reionization, first stars, methods, data analysis
الوصف: We present an estimation of the reionization optical depth $\tau$ from an improved analysis of the High Frequency Instrument (HFI) data of Planck satellite. By using an improved version of the HFI map-making code, we greatly reduce the residual large scale contamination affecting the data, characterized, but not fully removed, in 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 $\tau=0.0566_{-0.0062}^{+0.0053}$ at $68\%$ C.L., reducing the Planck 2018 legacy release uncertainty by $\sim40\%$. Within the $\Lambda$CDM model, in combination with the Planck large scale temperature likelihood, and the high-$\ell$ temperature and polarization likelihood, we measure $\tau=0.059\pm0.006$ at $68\%$ C.L. which corresponds to a mid-point reionization redshift of $z_{\rm re}=8.14\pm0.61$ at $68\%$ C.L.. This estimation of the reionization optical depth with $10\%$ accuracy is the strongest constraint to date.
Comment: 11 pages, 18 figures; matches published version. Maps and simulations available at http://sroll20.ias.u-psud.frTest, likelihood at https://web.fe.infn.it/~pagano/low_ell_datasets/sroll2Test
وصف الملف: application/pdf
اللغة: English
تدمد: 0004-6361
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8448e78d974d225f3211e177ed47156Test
https://hal.archives-ouvertes.fr/hal-02317321Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....e8448e78d974d225f3211e177ed47156
قاعدة البيانات: OpenAIRE