CaltechAUTHORS
  A Caltech Library Service

Constraining f(R) gravity with a k-cut cosmic shear analysis of the Hyper Suprime-Cam first-year data

Vazsonyi, Leah and Taylor, Peter L. and Valogiannis, Georgios and Ramachandra, Nesar S. and Ferté, Agnès and Rhodes, Jason (2021) Constraining f(R) gravity with a k-cut cosmic shear analysis of the Hyper Suprime-Cam first-year data. Physical Review D, 104 (8). Art. No. 083527. ISSN 2470-0010. doi:10.1103/physrevd.104.083527. https://resolver.caltech.edu/CaltechAUTHORS:20211026-144941937

[img] PDF - Published Version
See Usage Policy.

1MB
[img] PDF - Accepted Version
Creative Commons Attribution.

1MB

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20211026-144941937

Abstract

Using Subaru Hyper Suprime-Cam (HSC) year 1 data, we perform the first k-cut cosmic shear analysis constraining both ΛCDM and f(R) Hu-Sawicki modified gravity. To generate the f(R) cosmic shear theory vector, we use the matter power spectrum emulator trained on COLA (COmoving Lagrangian Acceleration) simulations [Phys. Rev. D 103, 123525 (2021). The k-cut method is used to significantly down-weight sensitivity to small scale (k > 1h  Mpc⁻¹) modes in the matter power spectrum where the emulator is less accurate, while simultaneously ensuring our results are robust to baryonic feedback model uncertainty. We have also developed a test to ensure that the effects of poorly modeled small scales are nulled as intended. For ΛCDM we find S₈ = σ₈ (Ω_m/0.3)^(0.5) = 0.789^(+0.039)_(−0.022), while the constraints on the f(R) modified gravity parameters are prior dominated. In the future, the k-cut method could be used to constrain a large number of theories of gravity where computational limitations make it infeasible to model the matter power spectrum down to extremely small scales.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/physrevd.104.083527DOIArticle
https://arxiv.org/abs/2107.10277arXivDiscussion Paper
ORCID:
AuthorORCID
Vazsonyi, Leah0000-0002-2821-5623
Valogiannis, Georgios0000-0003-0805-1470
Ferté, Agnès0000-0003-3065-9941
Rhodes, Jason0000-0002-4485-8549
Additional Information:© 2021 American Physical Society. Received 27 July 2021; accepted 24 September 2021; published 18 October 2021. L. V. acknowledges support from a Caltech Summer Undergraduate Research Fellowship (SURF) and thanks Alice and Edward Stone for providing the funding. P. L. T. acknowledges support for this work from a NASA Postdoctoral Program Fellowship. Part of the research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The work of G. V. is financially supported by NSF Grant No. AST-1813694. N. S. R.’s work at Argonne National Laboratory was supported under the US Department of Energy Contract No. DE-AC02-06CH11357. The authors are indebted to Chiaki Hikage for providing the HSCY1 extended scale data vector and covariance matrix and the tomographic photometric redshift distributions. We would also like to Alex Hall for pointing out a more streamlined approach to compute the BNT covariance matrix and Vincenzo Cardone for useful discussions.
Funders:
Funding AgencyGrant Number
Caltech Summer Undergraduate Research Fellowship (SURF)UNSPECIFIED
Alice and Edward StoneUNSPECIFIED
NASA Postdoctoral ProgramUNSPECIFIED
NASA/JPL/CaltechUNSPECIFIED
NSFAST-1813694
Department of Energy (DOE)DE-AC02-06CH11357
Issue or Number:8
DOI:10.1103/physrevd.104.083527
Record Number:CaltechAUTHORS:20211026-144941937
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20211026-144941937
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:111641
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:26 Oct 2021 18:15
Last Modified:26 Oct 2021 18:15

Repository Staff Only: item control page