4.8 Article

New Probe of Departures from General Relativity Using Minkowski Functionals

Journal

PHYSICAL REVIEW LETTERS
Volume 118, Issue 18, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.118.181301

Keywords

-

Funding

  1. National Natural Science Foundation of China [11643010, 11653002, 11421303]
  2. UK STFC Consolidated Grants [ST/L00075X/1, RF040335]
  3. 1000 Young Talents program in China
  4. Strategic Priority Research Program The Emergence of Cosmological Structures of the Chinese Academy of Sciences [XDB09000000]
  5. BIS National E-infrastructure capital Grant [ST/K00042X/1]
  6. STFC [ST/H008519/1, ST/K00087X/1]
  7. STFC DiRAC Operations Grant [ST/K003267/1]
  8. Durham University
  9. Science and Technology Facilities Council [ST/H008519/1, ST/I00162X/1, ST/L00075X/1] Funding Source: researchfish
  10. STFC [ST/I00162X/1, ST/H008519/1, ST/L00075X/1, ST/P000541/1] Funding Source: UKRI

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The morphological properties of the large scale structure of the Universe can be fully described by four Minkowski functionals (MFs), which provide important complementary information to other statistical observables such as the widely used 2-point statistics in configuration and Fourier spaces. In this work, for the first time, we present the differences in the morphology of the large scale structure caused by modifications to general relativity (to address the cosmic acceleration problem), by measuring the MFs from N-body simulations of modified gravity and general relativity. We find strong statistical power when using the MFs to constrain modified theories of gravity: with a galaxy survey that has survey volume similar to 0.125 (h(-1) Gpc)(3) and galaxy number density similar to 1/(h(-1) Mpc)(3), the two normal-branch Dvali-GabadadzePorrati models and the F5 f(R) model that we simulated can be discriminated from the Lambda CDM model at a significance level greater than or similar to 5 sigma with an individual MF measurement. Therefore, the MF of the large scale structure is potentially a powerful probe of gravity, and its application to real data deserves active exploration.

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