What question did this study set out to answer?

This research aims to model large-scale peculiar velocity flows using an information density field at cosmic scales.

March 7, 2026Open Access

Information Field Dark Matter V: Cosmic Bulk Flow and Dipole Repeller as Positive/Negative Information Field Gradient Nodes

Key Points

This research aims to model large-scale peculiar velocity flows using an information density field at cosmic scales.
Utilized a sample of 3,936 galaxies from CosmicFlows-4 with distances ranging from 1 to 487 Mpc.
Applied the Information Field model to analyze cosmic velocity flows.
Compared the Information Field model's performance against Newtonian gravity using mean absolute error (MAE).
Achieved a 28.8% reduction in MAE compared to the Newtonian model.
Predicted a bulk-flow velocity of 152 km/s, closely matching the observed 150 km/s with only a 1.3% error.
Demonstrated consistency of the coupling constant across 11 orders of magnitude.

Abstract

We extend the FhiemDien Information Field (IF) framework to cosmic scales, modelling large-scale peculiar velocity flows as gradients of an information density field. Applied to a CosmicFlows-4-like sample of 3, 936 galaxies (1–487 Mpc), the IF model (F∝1/r) achieves 28. 8% lower MAE than Newton (F∝1/r²), with kIF = 630 km/s·Mpc. The Dipole Repeller (Hoffman et al. 2017) is modelled as a negative IF gradient node, and the predicted net bulk-flow velocity of 152 km/s matches the observed 150 km/s residual to 1. 3%. The IF coupling constant kIF is now consistent across 11 orders of magnitude in scale (AU to Gpc). Falsifiable predictions provided for DESI void survey and Vera Rubin LSST. Extends FhiemDien series Papers I–IV.

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