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Published October 15, 2021 | Submitted + Published
Journal Article Open

Constraints on ΛCDM extensions from the SPT-3G 2018 EE and TE power spectra

Balkenhol, L.
Dutcher, D.
Ade, P. A. R. ORCID icon
Ahmed, Z.
Anderes, E.
Anderson, A. J.
Archipley, M. ORCID icon
Avva, J. S.
Aylor, K.
Barry, P. S.
Basu Thakur, R. ORCID icon
Benabed, K.
Bender, A. N.
Benson, B. A. ORCID icon
Bianchini, F. ORCID icon
Bleem, L. E. ORCID icon
Bouchet, F. R. ORCID icon
Bryant, L.
Byrum, K.
Carlstrom, J. E. ORCID icon
Carter, F. W.
Cecil, T. W.
Chang, C. L.
Chaubal, P.
Chen, G.
Cho, H.-M.
Chou, T.-L.
Cliche, J.-F. ORCID icon
Crawford, T. M. ORCID icon
Cukierman, A. ORCID icon
Daley, C.
de Haan, T. ORCID icon
Denison, E. V.
Dibert, K. ORCID icon
Ding, J.
Dobbs, M. A. ORCID icon
Everett, W. ORCID icon
Feng, C.
Ferguson, K. R.
Foster, A.
Fu, J.
Galli, S.
Gambrel, A. E.
Gardner, R. W.
Goeckner-Wald, N.
Gualtieri, R.
Guns, S.
Gupta, N. ORCID icon
Guyser, R.
Halverson, N. W. ORCID icon
Harke-Hosemann, A. H.
Harrington, N. L.
Henning, J. W.
Hilton, G. C. ORCID icon
Hivon, E. ORCID icon
Holder, G. P. ORCID icon
Holzapfel, W. L.
Hood, J. C.
Howell, D. ORCID icon
Huang, N.
Irwin, K. D.
Jeong, O. B.
Jonas, M.
Jones, A.
Khaire, T. S.
Knox, L.
Kofman, A. M.
Korman, M.
Kubik, D. L.
Kuhlmann, S.
Kuo, C.-L.
Lee, A. T. ORCID icon
Leitch, E. M.
Lowitz, A. E.
Lu, C.
Meyer, S. S. ORCID icon
Michalik, D.
Millea, M.
Montgomery, J.
Nadolski, A. ORCID icon
Natoli, T.
Nguyen, H.
Noble, G. I.
Novosad, V.
Omori, Y. ORCID icon
Padin, S.
Pan, Z.
Paschos, P.
Pearson, J.
Posada, C. M.
Prabhu, K.
Quan, W.
Rahlin, A.
Reichardt, C. L. ORCID icon
Riebel, D.
Riedel, B. ORCID icon
Rouble, M.
Ruhl, J. E.
Sayre, J. T. ORCID icon
Schiappucci, E.
Shirokoff, E. ORCID icon
Smecher, G. ORCID icon
Sobrin, J. A.
Stark, A. A. ORCID icon
Stephen, J.
Story, K. T.
Suzuki, A.
Thompson, K. L.
Thorne, B.
Tucker, C. ORCID icon
Umilta, C.
Vale, L. R.
Vanderlinde, K. ORCID icon
Vieira, J. D. ORCID icon
Wang, G.
Whitehorn, N. ORCID icon
Wu, W. L. K. ORCID icon
Yefremenko, V.
Yoon, K. W.
Young, M. R.
SPT-3G Collaboration

Abstract

We present constraints on extensions to the ΛCDM cosmological model from measurements of the E-mode polarization autopower spectrum and the temperature-E-mode cross-power spectrum of the cosmic microwave background (CMB) made using 2018 SPT-3G data. The extensions considered vary the primordial helium abundance, the effective number of relativistic degrees of freedom, the sum of neutrino masses, the relativistic energy density and mass of a sterile neutrino, and the mean spatial curvature. We do not find clear evidence for any of these extensions, from either the SPT-3G 2018 dataset alone or in combination with baryon acoustic oscillation and Planck data. None of these model extensions significantly relax the tension between Hubble-constant, H₀, constraints from the CMB and from distance-ladder measurements using Cepheids and supernovae. The addition of the SPT-3G 2018 data to Planck reduces the square-root of the determinants of the parameter covariance matrices by factors of 1.3–2.0 across these models, signaling a substantial reduction in the allowed parameter volume. We also explore CMB-based constraints on H₀ from combined SPT, Planck, and ACT DR4 datasets. While individual experiments see some indications of different H₀ values between the TT, TE, and EE spectra, the combined H₀ constraints are consistent between the three spectra. For the full combined datasets, we report H₀ = 67.49±0.53  km s⁻¹ Mpc⁻¹, which is the tightest constraint on H₀ from CMB power spectra to date and in 4.1σ tension with the most precise distance-ladder-based measurement of H₀. The SPT-3G survey is planned to continue through at least 2023, with existing maps of combined 2019 and 2020 data already having ∼3.5× lower noise than the maps used in this analysis.

Additional Information

© 2021 American Physical Society. Received 29 March 2021; accepted 18 August 2021; published 4 October 2021. We thank Brian Fields for useful discussions on cosmological models modifying the primordial helium abundance and effective number of neutrino species. The South Pole Telescope program is supported by the National Science Foundation (NSF) through Grants No. PLR-1248097 and No. OPP-1852617. Partial support is also provided by the NSF Physics Frontier Center Grant No. PHY-1125897 to the Kavli Institute of Cosmological Physics at the University of Chicago, the Kavli Foundation, and the Gordon and Betty Moore Foundation through Grant No. GBMF#947 to the University of Chicago. Argonne National Laboratory's work was supported by the U.S. Department of Energy, Office of High Energy Physics, under Contract No. DE-AC02-06CH11357. Work at Fermi National Accelerator Laboratory, a DOE-OS, HEP User Facility managed by the Fermi Research Alliance, LLC, was supported under Contract No. DE-AC02-07CH11359. The Cardiff authors acknowledge support from the UK Science and Technologies Facilities Council (STFC). The CU Boulder group acknowledges support from NSF Grant No. AST-0956135. The IAP authors acknowledge support from the Centre National d'Études Spatiales (CNES). J. V. acknowledges support from the Sloan Foundation. The Melbourne authors acknowledge support from the University of Melbourne and an Australian Research Council Future Fellowship (No. FT150100074). The McGill authors acknowledge funding from the Natural Sciences and Engineering Research Council of Canada, Canadian Institute for Advanced Research, and the Fonds de recherche du Québec Nature et technologies. The UCLA and MSU authors acknowledge support from Grants No. NSF AST-1716965 and No. CSSI-1835865. This research was done using resources provided by the Open Science Grid, which is supported by the National Science Foundation and the U.S. Department of Energy's Office of Science [49,50]. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231. Some of the results in this paper have been derived using the healpy and healpix packages. The data analysis pipeline also uses the scientific python stack [51–53].

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Published - PhysRevD.104.083509.pdf

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Additional details

Created:
August 20, 2023
Modified:
October 23, 2023