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We present the NPIPE processing pipeline, which produces calibrated frequency maps in temperature and polarization from data from the Planck Low Frequency Instrument (LFI) and High Frequency Instrument (HFI) using high-performance computers.
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Odegard, N., Weiland, J. L., Fixsen, D. J., et al., Determination of the Cosmic Infrared Background from COBE/FIRAS and Planck HFI Observations. 2019, ApJ, 877, 40, 1904.11556
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Hinshaw, G., Weiland, J. L., Hill, R. S., et al., Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Data Processing, Sky Maps, and Basic Results. 2009, ApJS, 180, 225, 0803.0732
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Kurki-Suonio, H., Keihänen, E., Keskitalo, R., et al., Destriping CMB temperature and polarization maps. 2009, A&A, 506, 1511, 0904.3623
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Keihänen, E., Keskitalo, R., Kurki-Suonio, H., Poutanen, T., & Sirviö, A., Making cosmic microwave background temperature and polarization maps with MADAM. 2010, A&A, 510, A57, 0907.0367
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Prezeau, G. & Reinecke, M., Algorithm for the evaluation of reduced Wigner matrices. 2010, Astrophys. J. Suppl., 190, 267, 1002.1050
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Rosset, C., Tristram, M., Ponthieu, N., et al., Planck
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2010
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2014
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2014
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2017
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Thommesen et al., Bayesian CMB dipole estimation on an incomplete sky. 2019, in preparation
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Zonca, A., Singer, L., Lenz, D., et al., healpy: equal area pixelization and spherical harmonics transforms for data on the sphere in Python. 2019, Journal of Open Source Software, 4, 1298
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