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Cosmic velocity fields and their interpretation

M Davis1

  • 1Departments of Astronomy and Physics, University of California, Berkeley, CA 94720, USA.

Proceedings of the National Academy of Sciences of the United States of America
|January 14, 1998
PubMed
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We introduce a new statistic to measure the small-scale cosmic velocity field, finding low amplitudes consistent with Omega ~ 0.15. Large-scale flow analyses show discrepancies, potentially due to data weighting in different methods.

Area of Science:

  • Cosmology
  • Astrophysics
  • Galaxy Dynamics

Background:

  • Cosmic velocity fields provide insights into the distribution of matter and the expansion of the universe.
  • Understanding both small- and large-scale velocity fields is crucial for testing cosmological models.

Purpose of the Study:

  • To review the current understanding of cosmic velocity fields.
  • To introduce a new statistic for characterizing small-scale velocity fields.
  • To analyze large-scale flows and compare them with density fields.

Main Methods:

  • A new statistic is developed to quantify the incoherent component of the velocity field on scales less than 2h-1 Mpc.
  • Large-scale flows are analyzed on scales of 10-60 h-1 Mpc using linear perturbation theory.
  • Comparison of gravity/density fields from galaxy surveys (e.g., IRAS) with velocity fields from various sources.

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Main Results:

  • The new statistic reveals a stable, low-amplitude velocity field on small scales, suggesting an effective Omega of approximately 0.15.
  • Analysis of large-scale flows shows discrepancies between methods comparing gravity and velocity fields.
  • POTENT analysis yields higher density parameter estimates than other methods when comparing IRAS and Mark-III data.

Conclusions:

  • The new statistic is a valuable tool for diagnosing small-scale kinetic energy in galaxy distributions.
  • Discrepancies in large-scale flow analyses may arise from differing data weighting in competing methods.
  • Further investigation is needed to reconcile the inconsistencies between various cosmological data analyses.