English

Constraining the growth rate of structure with phase correlations

Cosmology and Nongalactic Astrophysics 2023-06-09 v3

Abstract

We show that correlations between the phases of the galaxy density field in redshift space provide additional information about the growth rate of large-scale structure that is complementary to the power spectrum multipoles. In particular, we consider the multipoles of the line correlation function (LCF), which correlates phases between three collinear points, and use the Fisher forecasting method to show that the LCF multipoles can break the degeneracy between the measurement of the growth rate of structure ff and the amplitude of perturbations σ8\sigma_8 that is present in the power spectrum multipoles at large scales. This leads to an improvement in the measurement of ff and σ8\sigma_8 by up to 220 per cent for kmax=0.15hMpc1k_{\rm max} = 0.15 \, h\mathrm{Mpc}^{-1} and up to 50 per cent for kmax=0.30hMpc1k_{\rm max} = 0.30 \, h\mathrm{Mpc}^{-1} at redshift z=0.25z=0.25, with respect to power spectrum measurements alone for the upcoming generation of galaxy surveys like DESI and Euclid. The average improvements in the constraints on ff and σ8\sigma_8 for kmax=0.15hMpc1k_{\rm max} = 0.15 \, h\mathrm{Mpc}^{-1} are 90\sim 90 per cent for the DESI BGS sample with mean redshift z=0.25\overline{z}=0.25, 40\sim 40 per cent for the DESI ELG sample with z=1.25\overline{z}=1.25, and 40\sim 40 per cent for the Euclid Hα\alpha galaxies with z=1.3\overline{z}=1.3. For kmax=0.30hMpc1k_{\rm max} = 0.30 \, h\mathrm{Mpc}^{-1}, the average improvements are 40\sim 40 per cent for the DESI BGS sample and 20\sim 20 per cent for both the DESI ELG and Euclid Hα\alpha galaxies.

Keywords

Cite

@article{arxiv.2005.06325,
  title  = {Constraining the growth rate of structure with phase correlations},
  author = {Joyce Byun and Felipe Oliveira Franco and Cullan Howlett and Camille Bonvin and Danail Obreschkow},
  journal= {arXiv preprint arXiv:2005.06325},
  year   = {2023}
}

Comments

28 pages, 13 figures, 2 tables. v2 has additional discussion on model-independence of the forecasts. v3 matches the MNRAS accepted version

R2 v1 2026-06-23T15:30:56.732Z