BeyondPlanck XII. Cosmological parameter constraints with end-to-end error propagation

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Main Authors: Paradiso, S., Colombo, L. P. L., Andersen, K. J., Aurlien, R., Banerji, R., Basyrov, A., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Eriksen, H. K., Eskilt, J. R., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Partridge, B., Reinecke, M., San, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., Zacchei, A.
Format: Preprint
Published: 2022
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author Paradiso, S.
Colombo, L. P. L.
Andersen, K. J.
Aurlien, R.
Banerji, R.
Basyrov, A.
Bersanelli, M.
Bertocco, S.
Brilenkov, M.
Carbone, M.
Eriksen, H. K.
Eskilt, J. R.
Foss, M. K.
Franceschet, C.
Fuskeland, U.
Galeotta, S.
Galloway, M.
Gerakakis, S.
Gjerløw, E.
Hensley, B.
Herman, D.
Iacobellis, M.
Ieronymaki, M.
Ihle, H. T.
Jewell, J. B.
Karakci, A.
Keihänen, E.
Keskitalo, R.
Maggio, G.
Maino, D.
Maris, M.
Partridge, B.
Reinecke, M.
San, M.
Suur-Uski, A. -S.
Svalheim, T. L.
Tavagnacco, D.
Thommesen, H.
Watts, D. J.
Wehus, I. K.
Zacchei, A.
author_facet Paradiso, S.
Colombo, L. P. L.
Andersen, K. J.
Aurlien, R.
Banerji, R.
Basyrov, A.
Bersanelli, M.
Bertocco, S.
Brilenkov, M.
Carbone, M.
Eriksen, H. K.
Eskilt, J. R.
Foss, M. K.
Franceschet, C.
Fuskeland, U.
Galeotta, S.
Galloway, M.
Gerakakis, S.
Gjerløw, E.
Hensley, B.
Herman, D.
Iacobellis, M.
Ieronymaki, M.
Ihle, H. T.
Jewell, J. B.
Karakci, A.
Keihänen, E.
Keskitalo, R.
Maggio, G.
Maino, D.
Maris, M.
Partridge, B.
Reinecke, M.
San, M.
Suur-Uski, A. -S.
Svalheim, T. L.
Tavagnacco, D.
Thommesen, H.
Watts, D. J.
Wehus, I. K.
Zacchei, A.
contents We present cosmological parameter constraints as estimated using the Bayesian BeyondPlanck (BP) analysis framework. This method supports seamless end-to-end error propagation from raw time-ordered data to final cosmological parameters. As a first demonstration of the method, we analyze time-ordered Planck LFI observations, combined with selected external data (WMAP 33-61GHz, Planck HFI DR4 353 and 857GHz, and Haslam 408MHz) in the form of pixelized maps which are used to break critical astrophysical degeneracies. Overall, all results are generally in good agreement with previously reported values from Planck 2018 and WMAP, with the largest relative difference for any parameter of about 1 sigma when considering only temperature multipoles between 29<l<601. In cases where there are differences, we note that the BP results are generally slightly closer to the high-l HFI-dominated Planck 2018 results than previous analyses, suggesting slightly less tension between low and high multipoles. Using low-l polarization information from LFI and WMAP, we find a best-fit value of tau=0.066 +/- 0.013, which is higher than the low value of tau=0.051 +/- 0.006 derived from Planck 2018 and slightly lower than the value of 0.069 +/- 0.011 derived from joint analysis of official LFI and WMAP products. Most importantly, however, we find that the uncertainty derived in the BP processing is about 30% larger than when analyzing the official products, after taking into account the different sky coverage. We argue that this is due to marginalizing over a more complete model of instrumental and astrophysical parameters, and this results in both more reliable and more rigorously defined uncertainties. We find that about 2000 Monte Carlo samples are required to achieve robust convergence for low-resolution CMB covariance matrix with 225 independent modes.
format Preprint
id arxiv_https___arxiv_org_abs_2205_10104
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle BeyondPlanck XII. Cosmological parameter constraints with end-to-end error propagation
Paradiso, S.
Colombo, L. P. L.
Andersen, K. J.
Aurlien, R.
Banerji, R.
Basyrov, A.
Bersanelli, M.
Bertocco, S.
Brilenkov, M.
Carbone, M.
Eriksen, H. K.
Eskilt, J. R.
Foss, M. K.
Franceschet, C.
Fuskeland, U.
Galeotta, S.
Galloway, M.
Gerakakis, S.
Gjerløw, E.
Hensley, B.
Herman, D.
Iacobellis, M.
Ieronymaki, M.
Ihle, H. T.
Jewell, J. B.
Karakci, A.
Keihänen, E.
Keskitalo, R.
Maggio, G.
Maino, D.
Maris, M.
Partridge, B.
Reinecke, M.
San, M.
Suur-Uski, A. -S.
Svalheim, T. L.
Tavagnacco, D.
Thommesen, H.
Watts, D. J.
Wehus, I. K.
Zacchei, A.
Cosmology and Nongalactic Astrophysics
83F05
We present cosmological parameter constraints as estimated using the Bayesian BeyondPlanck (BP) analysis framework. This method supports seamless end-to-end error propagation from raw time-ordered data to final cosmological parameters. As a first demonstration of the method, we analyze time-ordered Planck LFI observations, combined with selected external data (WMAP 33-61GHz, Planck HFI DR4 353 and 857GHz, and Haslam 408MHz) in the form of pixelized maps which are used to break critical astrophysical degeneracies. Overall, all results are generally in good agreement with previously reported values from Planck 2018 and WMAP, with the largest relative difference for any parameter of about 1 sigma when considering only temperature multipoles between 29<l<601. In cases where there are differences, we note that the BP results are generally slightly closer to the high-l HFI-dominated Planck 2018 results than previous analyses, suggesting slightly less tension between low and high multipoles. Using low-l polarization information from LFI and WMAP, we find a best-fit value of tau=0.066 +/- 0.013, which is higher than the low value of tau=0.051 +/- 0.006 derived from Planck 2018 and slightly lower than the value of 0.069 +/- 0.011 derived from joint analysis of official LFI and WMAP products. Most importantly, however, we find that the uncertainty derived in the BP processing is about 30% larger than when analyzing the official products, after taking into account the different sky coverage. We argue that this is due to marginalizing over a more complete model of instrumental and astrophysical parameters, and this results in both more reliable and more rigorously defined uncertainties. We find that about 2000 Monte Carlo samples are required to achieve robust convergence for low-resolution CMB covariance matrix with 225 independent modes.
title BeyondPlanck XII. Cosmological parameter constraints with end-to-end error propagation
topic Cosmology and Nongalactic Astrophysics
83F05
url https://arxiv.org/abs/2205.10104