Making maps of cosmic microwave background polarization for B-mode studies: The POLARBEAR example
D Poletti, G Fabbian, M Le Jeune, J Peloton, K Arnold, C Baccigalupi, D Barron, S Beckman, J Borrill, S Chapman, Y Chinone, A Cukierman, A Ducout, T Elleflot, J Errard, S Feeney, N Goeckner-Wald, J Groh, G Hall, M Hasegawa Show all
Astronomy and Astrophysics: a European journal | EDP Sciences | Published : 2017
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 work 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 es..View full abstract
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Awarded by Australian Research Council
The POLARBEAR project is funded by the National Science Foundation under Grants Nos. AST-0618398 and AST-1212230. The James Ax Observatory operates in the Parque Astronomico Atacama in Northern Chile under the auspices of the Comision Nacional de Investigacion Cientifica y Tecnologica de Chile (CONICYT). This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the US Department of Energy under Contract No. DE-AC02-05CH11231. KEK authors acknowledge the support of MEXT KAKENHI Grant Number JP15H05891 and JSPS KAKENHI Grant Number JP26220709. In Japan, this work was supported by JSPS Core-to-Core Program, A. Advanced Research Networks and used computational resources of the HPCI system (Project ID: hp150132). In Italy, this work was supported by the RADIOFOREGROUNDS grant of the European Union's Horizon 2020 research and innovation programme (COMPET-05-2015, grant agreement number 687312) as well as by the INDARK INFN Initiative. J.P. acknowledges support from the Science and Technology Facilities Council (grant number ST/L000652/1) and from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement No. . C.R. acknowledges support from a Australian Research Council's Future Fellowship (FT150100074).