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In-flight polarization angle calibration for LiteBIRD: blind challenge and cosmological implications

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Published 20 January 2022 • © 2022 IOP Publishing Ltd and Sissa Medialab
, , Citation The LiteBIRD collaboration et al JCAP01(2022)039 DOI 10.1088/1475-7516/2022/01/039

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Author e-mails

nkrach@sissa.it

tomotake.matsumura@ipmu.jp

Author affiliations

1 International School for Advanced Studies (SISSA), via Bonomea 265, 34136 Trieste, Italy

2 INFN, Sezione di Trieste, via Valerio 2, 34127 Trieste, Italy

3 IFPU, via Beirut 2, 34151 Grignano, Trieste, Italy

4 Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), UTIAS, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan

5 Instituto de Fisica de Cantabria (IFCA, CSIC-UC), avenida los Castros s/n, E-39005 Santander, Spain

6 Dpto. de Física Moderna, Universidad de Cantabria, avenida los Castros s/n, E-39005 Santander, Spain

7 School of Physics, Indian Institute of Science Education and Research Thiruvananthapuram, Maruthamala PO, Vithura, Thiruvananthapuram 695551, Kerala, India

8 INAF — OAS Bologna, via Piero Gobetti 93/3, 40129 Bologna, Italy

9 INFN, Sezione di Bologna, viale C. Berti Pichat 6/2, 40127 Bologna, Italy

10 Research Center for Nuclear Physics, Osaka University, Ibaraki, Osaka, 567-0047, Japan

11 Max-Planck-Institute for Astrophysics, Garching, Germany

12 IRAP, Université de Toulouse, CNRS, CNES, UPS, Toulouse, France

13 Institute of Theoretical Astrophysics, University of Oslo, Blindern, Oslo, Norway

14 Department of Physics, University of Oxford, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, U.K.

15 Dipartimento di Fisica e Astronomia "G. Galilei", Università degli Studi di Padova, via Marzolo 8, I-35131 Padova, Italy

16 INFN, Sezione di Padova, via Marzolo 8, I-35131, Padova, Italy

17 Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, 20133 Milano, Italy

18 INFN, Sezione di Milano, via Celoria 16, 20133 Milano, Italy

19 Cardiff University, School of Physics and Astronomy, Cardiff CF10 3XQ, U.K.

20 Dipartimento di Fisica, Università di Roma Tor Vergata, via della Ricerca Scientifica 1, 00133 Roma, Italy

21 INFN Sezione di Roma2, Università di Roma Tor Vergata, via della Ricerca Scientifica 1, 00133 Roma, Italy

22 University of California, Berkeley, Department of Physics, Berkeley, CA 94720, U.S.A.

23 University of California, Berkeley, Space Science Laboratory, Berkeley, CA 94720, U.S.A.

24 Lawrence Berkeley National Laboratory (LBNL), Computational Cosmology Center, Berkeley, CA 94720, U.S.A.

25 Research Center for the Early Universe (RESCEU), School of Science, University of Tokyo, Tokyo, Japan

26 Dipartimento di Fisica, Università La Sapienza, p.le A. Moro 2, 00185 Roma, Italy

27 INFN, Sezione di Roma, p.le A. Moro 2, 00185 Roma, Italy

28 AstroParticle and Cosmology (APC) — University Paris Diderot, CNRS/IN2P3, CEA/Irfu, Obs de Paris, Sorbonne Paris Cité, France

29 Instituto de Astrofísica de Canarias, E-38200 La Laguna, Tenerife, Canary Islands, Spain

30 Departamento de Astrofísica, Universidad de La Laguna (ULL), E-38206 La Laguna, Tenerife, Canary Islands, Spain

31 INFN, Sezione di Ferrara, via Saragat 1, 44122 Ferrara, Italy

32 Dipartimento di Fisica e Scienze della Terra, Università di Ferrara, via Saragat 1, 44122 Ferrara, Italy

33 High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan

34 Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS), Sagamihara, Kanagawa 252-5210, Japan

35 The Graduate University for Advanced Studies (SOKENDAI), Miura District, Kanagawa 240-0115, Hayama, Japan

36 Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France

37 Laboratoire de Physique de l'École Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, 75005 Paris, France

38 Space Science Data Center, Italian Space Agency, via del Politecnico, 00133 Roma, Italy

39 University of Milano Bicocca, Physics Department, piazza della Scienza 3, 20126 Milan, Italy

40 INFN, Sezione Milano Bicocca, piazza della Scienza 3, 20126 Milano, Italy

41 Université Paris-Saclay, CNRS, Institut d'Astrophysique Spatiale, 91405, Orsay, France

42 University of Manchester, Manchester M13 9PL, U.K.

43 Remeis-Observatory and Erlangen Centre for Astroparticle Physics, FAU Erlangen-Nürnberg, Sternwartstr. 7, 96049 Bamberg, Germany

44 National Institute of Technology, Kagawa College, Kagawa, Japan

45 INFN, Sezione di Pisa, largo B. Pontecorvo 3, 56127 Pisa, Italy

46 Okayama University, Department of Physics, Okayama 700-8530, Japan

47 Dipartimento di Fisica, Università di Pisa, largo B. Pontecorvo 3, 56127 Pisa, Italy

Dates

  1. Received 18 November 2021
  2. Accepted 20 December 2021
  3. Published

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1475-7516/2022/01/039

Abstract

We present a demonstration of the in-flight polarization angle calibration for the JAXA/ISAS second strategic large class mission, LiteBIRD, and estimate its impact on the measurement of the tensor-to-scalar ratio parameter, r, using simulated data. We generate a set of simulated sky maps with CMB and polarized foreground emission, and inject instrumental noise and polarization angle offsets to the 22 (partially overlapping) LiteBIRD frequency channels. Our in-flight angle calibration relies on nulling the EB cross correlation of the polarized signal in each channel. This calibration step has been carried out by two independent groups with a blind analysis, allowing an accuracy of the order of a few arc-minutes to be reached on the estimate of the angle offsets. Both the corrected and uncorrected multi-frequency maps are propagated through the foreground cleaning step, with the goal of computing clean CMB maps. We employ two component separation algorithms, the Bayesian-Separation of Components and Residuals Estimate Tool (B-SeCRET), and the Needlet Internal Linear Combination (NILC). We find that the recovered CMB maps obtained with algorithms that do not make any assumptions about the foreground properties, such as NILC, are only mildly affected by the angle miscalibration. However, polarization angle offsets strongly bias results obtained with the parametric fitting method. Once the miscalibration angles are corrected by EB nulling prior to the component separation, both component separation algorithms result in an unbiased estimation of the r parameter. While this work is motivated by the conceptual design study for LiteBIRD, its framework can be broadly applied to any CMB polarization experiment. In particular, the combination of simulation plus blind analysis provides a robust forecast by taking into account not only detector sensitivity but also systematic effects.

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10.1088/1475-7516/2022/01/039