The size and shape dependence of the SDSS galaxy bispectrum

Anindita Nandi, Sukhdeep Singh Gill, Debanjan Sarkar, Abinash Kumar Shaw, Biswajit Pandey, Somnath Bharadwaj

Research output: Contribution to journalArticlepeer-review

Abstract

We have measured the spherically averaged bispectrum of the SDSS main galaxy sample, considering a volume-limited [296.75Mpc]3 data cube with mean galaxy number density 0.63×10−3Mpc−3 and median redshift 0.102. Our analysis considers ∼1.37×108 triangles, for which we have measured the binned bispectrum and analysed its dependence on the size and shape of the triangle. It spans wavenumbers k1=(0.075−0.434)Mpc−1 for equilateral triangles, and a smaller range of k1 (the largest side) for triangles of other shapes. For all shapes, we find that the measured bispectrum is well modelled by a power law A(k1/1Mpc−1)n, where the best-fit values of A and n vary with the shape. The parameter A is the minimum for equilateral triangles and increases as the shape is deformed to linear triangles where the two largest sides are nearly aligned, reaching its maximum value for μ=0.95,t=0.75. The values of n are all negative, |n| is minimum (3.12±0.35) for the shape bin μ=0.65,t=0.75, and 3.8±0.28 for μ=0.65,t=0.85. We have also analysed mock galaxy samples constructed from ΛCDM N-body simulations by applying a simple Eulerian bias prescription where the galaxies reside in regions where the smoothed density field exceeds a threshold. We find that the bispectrum from the mock samples with bias b1=1.2 is in good agreement with the SDSS results. We further divided our galaxy sample into red and blue classes and studied the nature of the bispectrum for each category. The red galaxies exhibit higher bispectrum amplitude A than the blue galaxies for all possible triangle configurations. Red galaxies are old, and their larger bispectra indicate non-linear evolutionary interactions within their environments over time, resulting in their distribution being highly clustered and more biased than younger blue galaxies.

Original languageEnglish
Article number102292
JournalNew Astronomy
Volume113
DOIs
StatePublished - 1 Dec 2024

Keywords

  • Cosmology
  • Data analysis
  • Galaxies
  • Large-scale structure of Universe
  • Methods
  • Simulations
  • Software
  • Statistics

ASJC Scopus subject areas

  • Instrumentation
  • Astronomy and Astrophysics
  • Space and Planetary Science

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