Journal article
Constraints on ΛcDM extensions from the SPT-3G 2018 EE and TE power spectra
L Balkenhol, D Dutcher, PAR Ade, Z Ahmed, E Anderes, AJ Anderson, M Archipley, JS Avva, K Aylor, PS Barry, R Basu Thakur, K Benabed, AN Bender, BA Benson, F Bianchini, LE Bleem, FR Bouchet, L Bryant, K Byrum, JE Carlstrom Show all
Physical Review D | AMER PHYSICAL SOC | Published : 2021
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 signi..
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Awarded by Science and Technology Facilities Council
Funding Acknowledgements
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'Etudes 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 Qu ' ebec 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].