Published February 10, 2022 | Version Submitted + Published
Journal Article Open

CMB-S4: Forecasting Constraints on Primordial Gravitational Waves

Creators

  • 1. ROR icon University of California, Irvine
  • 2. ROR icon Johns Hopkins University
  • 3. ROR icon University of Illinois Urbana-Champaign
  • 4. ROR icon SLAC National Accelerator Laboratory
  • 5. ROR icon University of California, Berkeley
  • 6. ROR icon Stanford University
  • 7. ROR icon University of Oxford
  • 8. ROR icon Lawrence Berkeley National Laboratory
  • 9. ROR icon Rice University
  • 10. ROR icon Fermilab
  • 11. ROR icon University of California, San Diego
  • 12. ROR icon Institute for Fundamental Physics of the Universe
  • 13. ROR icon Harvard-Smithsonian Center for Astrophysics
  • 14. ROR icon University of New Mexico
  • 15. ROR icon Argonne National Laboratory
  • 16. ROR icon University of Paris
  • 17. ROR icon California Institute of Technology
  • 18. ROR icon Cornell University
  • 19. ROR icon University of Chicago
  • 20. ROR icon University of Melbourne
  • 21. ROR icon University of Cincinnati
  • 22. ROR icon Jet Propulsion Lab
  • 23. ROR icon Ludwig-Maximilians-Universität München
  • 24. ROR icon The University of Texas at Austin
  • 25. ROR icon Canadian Institute for Theoretical Astrophysics
  • 26. ROR icon Institut d'Astrophysique de Paris
  • 27. ROR icon Stony Brook University
  • 28. ROR icon University of Manchester
  • 29. ROR icon Arizona State University
  • 30. ROR icon Florida State University
  • 31. ROR icon Cardiff University
  • 32. ROR icon Dartmouth College
  • 33. ROR icon University of Geneva
  • 34. ROR icon University of Sussex
  • 35. ROR icon University of Cambridge
  • 36. ROR icon University of Tokyo
  • 37. ROR icon University of Groningen
  • 38. ROR icon University of Toronto
  • 39. ROR icon High Energy Accelerator Research Organization
  • 40. ROR icon University of Science and Technology of China
  • 41. ROR icon University of Pennsylvania
  • 42. ROR icon McGill University
  • 43. ROR icon National Institute of Standards and Technology
  • 44. ROR icon Harvard University
  • 45. ROR icon Goddard Space Flight Center
  • 46. ROR icon Princeton University
  • 47. ROR icon Simon Fraser University
  • 48. ROR icon University of Southern California
  • 49. ROR icon Haverford College
  • 50. ROR icon Stockholm University
  • 51. ROR icon Case Western Reserve University
  • 52. ROR icon University of British Columbia
  • 53. ROR icon University of Colorado Boulder
  • 54. ROR icon University of Minnesota
  • 55. ROR icon University of Michigan–Ann Arbor
  • 56. ROR icon Columbia University
  • 57. ROR icon University of Virginia
  • 58. ROR icon Kavli Institute for the Physics and Mathematics of the Universe
  • 59. ROR icon University of California, Davis
  • 60. ROR icon Yale University
  • 61. ROR icon University of Pittsburgh
  • 62. ROR icon Ben-Gurion University of the Negev
  • 63. ROR icon Aalto University
  • 64. ROR icon University of California, Santa Barbara
  • 65. ROR icon Perimeter Institute
  • 66. ROR icon Southern Methodist University
  • 67. ROR icon European Southern Observatory
  • 68. ROR icon University of Amsterdam
  • 69. ROR icon Washington University in St. Louis
  • 70. ROR icon University of Milano-Bicocca
  • 71. ROR icon Kavli Institute for Particle Astrophysics and Cosmology
  • 72. ROR icon Institute for Advanced Study
  • 73. ROR icon Pennsylvania State University
  • 74. ROR icon Brookhaven National Laboratory
  • 75. ROR icon Kyoto University
  • 76. ROR icon University of Wisconsin–Madison
  • 77. ROR icon University of Milan
  • 78. ROR icon Laboratoire de Physique des 2 Infinis Irène Joliot-Curie
  • 79. ROR icon Brown University
  • 80. ROR icon Syracuse University
  • 81. ROR icon University of California, Los Angeles
  • 82. ROR icon Michigan State University

Abstract

CMB-S4—the next-generation ground-based cosmic microwave background (CMB) experiment—is set to significantly advance the sensitivity of CMB measurements and enhance our understanding of the origin and evolution of the universe. Among the science cases pursued with CMB-S4, the quest for detecting primordial gravitational waves is a central driver of the experimental design. This work details the development of a forecasting framework that includes a power-spectrum-based semianalytic projection tool, targeted explicitly toward optimizing constraints on the tensor-to-scalar ratio, r, in the presence of Galactic foregrounds and gravitational lensing of the CMB. This framework is unique in its direct use of information from the achieved performance of current Stage 2–3 CMB experiments to robustly forecast the science reach of upcoming CMB-polarization endeavors. The methodology allows for rapid iteration over experimental configurations and offers a flexible way to optimize the design of future experiments, given a desired scientific goal. To form a closed-loop process, we couple this semianalytic tool with map-based validation studies, which allow for the injection of additional complexity and verification of our forecasts with several independent analysis methods. We document multiple rounds of forecasts for CMB-S4 using this process and the resulting establishment of the current reference design of the primordial gravitational-wave component of the Stage-4 experiment, optimized to achieve our science goals of detecting primordial gravitational waves for r > 0.003 at greater than 5σ, or in the absence of a detection, of reaching an upper limit of r < 0.001 at 95% CL.

Additional Information

© 2022. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2020 August 26; revised 2021 June 15; accepted 2021 July 8; published 2022 February 11. The CMB-S4 collaboration (https://cmb-s4.org/) is working to plan, construct, and operate a next-generation, multisite CMB experiment in the 2020s. The collaboration is led by an elected Governing Board, Spokespeople, Committee Chairs, and Executive Team. Funding for the CMB-S4 Integrated Project Office is provided by the Department of Energy's Office of Science (project level CD-0) and by the National Science Foundation through the Mid-Scale Research Infrastructure-R1 award OPP-1935892. This research used resources of Argonne National Laboratory, a U.S. Department of Energy (DOE) Office of Science User Facility operated under Contract No. DE-AC02-06CH11357. This document was prepared by the CMB-S4 collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. Work at Lawrence Berkeley National Laboratory was supported by the Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Work at SLAC National Accelerator Laboratory is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Contract No. DE-AC02-76SF00515. This research used resources of the National Energy Research Scientific Computing Center, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. In the United States, work on CMB-S4 by individual investigators has been supported by the National Science Foundation (awards 1248097, 1255358, 1815887, 1835865, 1852617, 2009469), the Department of Energy (awards DE-SC0009919, DE-SC0009946, DE-SC0010129, DE-SC0011784), and the National Aeronautics and Space Administration (award ATP-80NSSC20K0518). In Australia, the Melbourne authors acknowledge support from an Australian Research Council Future Fellowship (FT150100074). In Canada, R.H. is supported by the Discovery Grants program from NSERC, and acknowledges funding from CIFAR, the Sloan Foundation, and the Dunlap family. In Italy, C.B. acknowledges support under the ASI COSMOS and INFN INDARK programs. In the Netherlands, D.M. acknowledges NWO VIDI award number 639.042.730. In Switzerland, J.C. is supported by an SNSF Eccellenza Professorial Fellowship (No. 186879). In the United Kingdom, A.L., G.F., and J.C. are supported by the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC grant Agreement No. [616170]. A.L. also acknowledges STFC award ST/P000525/1. S.M. is supported by the research program Innovational Research Incentives Scheme (Vernieuwingsimpuls), which is financed by the Netherlands Organization for Scientific Research through the NWO VIDI grant No. 639.042.612-Nissanke and the Labex ILP (reference ANR-10-LABX-63) part of the Idex SUPER, received financial state aid managed by the Agence Nationale de la Recherche, as part of the program Investissements d'avenir under the reference ANR-11-IDEX-0004-02. Some computations in this paper were run on the Odyssey cluster, supported by the FAS Science Division Research Computing Group at Harvard University.

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Published - Abazajian_2022_ApJ_926_54.pdf

Submitted - 2008.12619.pdf

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Additional details

Identifiers

Eprint ID
113469
Resolver ID
CaltechAUTHORS:20220216-400348865

Related works

Funding

Department of Energy (DOE)
DE-AC02-06CH11357
NSF
OPP-1935892
Department of Energy (DOE)
DE-AC02-07CH11359
Department of Energy (DOE)
DE-AC02-05CH11231
Department of Energy (DOE)
DE-AC02-76SF00515
NSF
OPP-1248097
NSF
AST-1255358
NSF
AST-1815887
NSF
OAC-1835865
NSF
OPP-1852617
NSF
2009469
Department of Energy (DOE)
DE-SC0009919
Department of Energy (DOE)
DE-SC0009946
Department of Energy (DOE)
DE-SC0010129
Department of Energy (DOE)
DE-SC0011784
NASA
80NSSC20K0518
Australian Research Council
FT150100074
Natural Sciences and Engineering Research Council of Canada (NSERC)
Canadian Institute for Advanced Research (CIFAR)
Alfred P. Sloan Foundation
Dunlap Institute for Astronomy and Astrophysics
Agenzia Spaziale Italiana (ASI)
Istituto Nazionale di Fisica Nucleare (INFN)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)
639.042.730
Swiss National Science Foundation (SNSF)
186879
European Research Council (ERC)
616170
Science and Technology Facilities Council (STFC)
ST/P000525/1
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)
639.042.612-Nissanke
Agence Nationale pour la Recherche (ANR)
ANR-10-LABX-63
Agence Nationale pour la Recherche (ANR)
ANR-11-IDEX-0004-02
Harvard University

Dates

Created
2022-02-16
Created from EPrint's datestamp field
Updated
2023-07-13
Created from EPrint's last_modified field

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