THE CLUSTERING CHARACTERISTICS OF H i-SELECTED GALAXIES FROM THE 40% ALFALFA SURVEY

By Ann M. Martin, R. Giovanelli, M. Haynes, L. Guzzo. 2012

62 citations recorded by the source corpus.

The 40% Arecibo Legacy Fast ALFA survey catalog (α.40) of ∼10,150 H i-selected galaxies is used to analyze the clustering properties of gas-rich galaxies. By employing the Landy–Szalay estimator and a full covariance analysis for the two-point galaxy–galaxy correlation function, we obtain the real-space correlation function and model it as a power law, ξ(r) = (r/r0)−γ, on scales <10 h−1 Mpc. As the largest sample of blindly H i-selected galaxies to date, α.40 provides detailed understanding of the clustering of this population. We find γ = 1.51 ± 0.09 and r0 = 3.3 + 0.3, −0.2 h−1 Mpc, reinforcing the understanding that gas-rich galaxies represent the most weakly clustered galaxy population known; we also observe a departure from a pure power-law shape at intermediate scales, as predicted in ΛCDM halo occupation distribution models. Furthermore, we measure the bias parameter for the α.40 galaxy sample and find that H i galaxies are severely antibiased on small scales, but only weakly antibiased on large scales. The robust measurement of the correlation function for gas-rich galaxies obtained via the α.40 sample constrains models of the distribution of H i in simulated galaxies, and will be employed to better understand the role of gas in environmentally dependent galaxy evolution.

Subfields: Astronomy and Astrophysics, Instrumentation, Statistical and Nonlinear Physics

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

In Astronomy and Astrophysics

  1. M. Haynes
  2. R. Giovanelli
  3. Shan Huang
  4. E. Papastergis
  5. A. Cattaneo
  6. J. Brinchmann
  7. G. Hallenbeck
  8. R. Koopmann

In Instrumentation

  1. M. Haynes
  2. R. Giovanelli
  3. Shan Huang
  4. E. Papastergis
  5. J. Brinchmann
  6. A. Cattaneo
  7. J. Silk
  8. D. Stark

In Statistical and Nonlinear Physics

  1. E. Papastergis
  2. Shan Huang
  3. J. Silk
  4. M. Haynes
  5. R. Giovanelli
  6. R. Battye
  7. G. Mamon

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