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Title: Making maps of cosmic microwave background polarization for B-mode studies: the POLARBEAR example

Journal Article · · Astronomy and Astrophysics
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  1. Univ. of Paris Diderot, Paris (France)
  2. International School for Advanced Studies (SISSA), Trieste (Italy); National Inst. of Nuclear Physics (INFN), Trieste (Italy)
  3. Univ. of Sussex, Brighton (United Kingdom)
  4. Univ. of Wisconsin, Madison, WI (United States)
  5. Univ. of California, Berkeley, CA (United States)
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
  7. Dalhousie Univ., Halifax (Canada)
  8. Univ. of California, Berkeley, CA (United States); Univ. of Tokyo, Chiba (Japan)
  9. Imperial College, London (United Kingdom)
  10. Univ. of California, San Diego, CA (United States)
  11. Sorbone Univ. and Univ. of Paris, Paris (France)
  12. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States)
  13. High Energy Accelerator Research Organization (KEK), Tsukuba (Japan); Graduate University for Advanced Studies (SOKENDAI), Kanagawa (Japan)
  14. High Energy Accelerator Research Organization (KEK), Tsukuba (Japan); Graduate University for Advanced Studies (SOKENDAI), Kanagawa (Japan); Univ. of Tokyo (Japan)
  15. Academia Sinica, Taipei (Taiwan); High Energy Accelerator Research Organization (KEK), Tsukuba (Japan)
  16. Univ. of Tokyo (Japan)
  17. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  18. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  19. Univ. of Melbourne (Australia)
  20. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  21. High Energy Accelerator Research Organization (KEK), Tsukuba (Japan)

Analysis of cosmic microwave background (CMB) datasets typically requires some filtering of the raw time-ordered data. For instance, in the context of ground-based observations, filtering is frequently used to minimize the impact of low frequency noise, atmospheric contributions and/or scan synchronous signals on the resulting maps. In this paper, we have explicitly constructed a general filtering operator, which can unambiguously remove any set of unwanted modes in the data, and then amend the map-making procedure in order to incorporate and correct for it. We show that such an approach is mathematically equivalent to the solution of a problem in which the sky signal and unwanted modes are estimated simultaneously and the latter are marginalized over. We investigated the conditions under which this amended map-making procedure can render an unbiased estimate of the sky signal in realistic circumstances. We then discuss the potential implications of these observations on the choice of map-making and power spectrum estimation approaches in the context of B-mode polarization studies. Specifically, we have studied the effects of time-domain filtering on the noise correlation structure in the map domain, as well as impact it may haveon the performance of the popular pseudo-spectrum estimators. We conclude that although maps produced by the proposed estimators arguably provide the most faithful representation of the sky possible given the data, they may not straightforwardly lead to the best constraints on the power spectra of the underlying sky signal and special care may need to be taken to ensure this is the case. By contrast, simplified map-makers which do not explicitly correct for time-domain filtering, but leave it to subsequent steps in the data analysis, may perform equally well and be easier and faster to implement. We focused on polarization-sensitive measurements targeting the B-mode component of the CMB signal and apply the proposed methods to realistic simulations based on characteristics of an actual CMB polarization experiment, POLARBEAR. Finally, our analysis and conclusions are however more generally applicable.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1393212
Journal Information:
Astronomy and Astrophysics, Vol. 600; ISSN 0004-6361
Publisher:
EDP SciencesCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 11 works
Citation information provided by
Web of Science

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Cited By (4)

Iterative map-making with two-level preconditioning for polarized cosmic microwave background data sets: A worked example for ground-based experiments journal October 2018
Exploring cosmic origins with CORE: Mitigation of systematic effects journal April 2018
A Measurement of the Cosmic Microwave Background B -mode Polarization Power Spectrum at Subdegree Scales from Two Years of polarbear Data journal October 2017
Consequences of constant elevation scans for instrumental systematics in Cosmic Microwave Background Experiments journal September 2021

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