Journal article
Measurements of the e -mode polarization and temperature- e -mode correlation of the CMB from SPT-3G 2018 data
D Dutcher, L Balkenhol, 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 | Published : 2021
Abstract
We present measurements of the E-mode (EE) polarization power spectrum and temperature-E-mode (TE) cross-power spectrum of the cosmic microwave background using data collected by SPT-3G, the latest instrument installed on the South Pole Telescope. This analysis uses observations of a 1500 deg2 region at 95, 150, and 220 GHz taken over a four-month period in 2018. We report binned values of the EE and TE power spectra over the angular multipole range 300≤ℓ<3000, using the multifrequency data to construct six semi-independent estimates of each power spectrum and their minimum-variance combination. These measurements improve upon the previous results of SPTpol across the multipole ranges 300≤ℓ≤..
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Awarded by Science and Technology Facilities Council
Funding Acknowledgements
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-AC0207CH11359. The Cardiff authors acknowledge support from the UK Science and Technologies Facilities Council (STFC). The CU Boulder group acknowledges support from NSF 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 (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 Quebec Nature et technologies. N. W. H. acknowledges support from NSF CAREER Grant No. AST-0956135. The UCLA and MSU authors acknowledge support from NSF AST-1716965 and CSSI-1835865. This research was done using resources provided by the Open Science Grid [77,78], which is supported by the National Science Foundation Grant No. 1148698, and the U.S. Department of Energy's Office of Science. 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-AC0205CH11231. 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 [79-81].