Large-scale clustering of galaxies in general relativity

By D. Jeong, F. Schmidt, C. Hirata. 2011

240 citations recorded by the source corpus.

Several recent studies have shown how to properly calculate the observed clustering of galaxies in a relativistic context, and uncovered corrections to the Newtonian calculation that become significant on scales near the horizon. Here, we retrace these calculations and show that, on scales approaching the horizon, the observed galaxy power spectrum depends strongly on which gauge is assumed to relate the intrinsic fluctuations in galaxy density to matter perturbations through a linear bias relation. Starting from simple physical assumptions, we derive a gauge-invariant expression relating galaxy density perturbations to matter density perturbations on large scales, and show that it reduces to a linear bias relation in a synchronous-comoving gauge, corroborating an assumption made in several recent papers. We evaluate the resulting observed galaxy power spectrum, and show that it leads to corrections similar to an effective non-Gaussian bias corresponding to a local f_(NL,eff)≲0.5. This number can serve as a guideline as to which surveys need to take into account relativistic effects. We also discuss the scale-dependent bias induced by primordial non-Gaussianity in the relativistic context, which again is simplest in a synchronous-comoving gauge.

Subfields: Astronomy and Astrophysics, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/ca679b022278239934e1508e6e99bae2ea700dd2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. L. Senatore
  2. M. Zaldarriaga
  3. Uros Seljak
  4. D. Green
  5. D. Baumann
  6. C. Hirata
  7. Xingang Chen
  8. Kendrick M. Smith

In Nuclear and High Energy Physics

  1. L. Senatore
  2. M. Zaldarriaga
  3. D. Green
  4. C. Hirata
  5. Valentin Assassi
  6. Kendrick M. Smith
  7. D. Baumann
  8. Uros Seljak

Citations in the corpus