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February 22, 20260 citationsOpen Access

v8.1 - Mother Residue (RM): A Unified Non-Canonical Scalar Field Framework for Dark Matter and Dark Energy

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LBluca bandini

Key Points

  • The aim is to provide a unified dynamical framework for dark matter and dark energy using the Mother Residue model.
  • Developed a non-canonical scalar field Lagrangian form for the RM framework.
  • Analyzed background cosmology and linear growth characteristics.
  • Compared model parameters with observational data (H₀, Ω_m, Ω_b, n_s, σ₈).
  • The model reproduces the standard ΛCDM expansion history within observational limits.
  • Demonstrated clustering behavior compatible with large-scale structure due to low effective sound speed.

Abstract

Description (v8): This version (v8) presents the consolidated formulation of the Mother Residue (RM) framework as a non-canonical scalar field model aimed at providing a unified dynamical interpretation of the dark sector. The RM field is described by a Lagrangian of the formℒRM = A (φ) Xⁿ − V (φ), where the kinetic and potential structure naturally generate two effective dynamical regimes: a matter-like clustering regime (w ≈ 0, cₛ² ≪ 1), a dark-energy-like acceleration regime (w ≈ −1 or mildly w < −1). At the background level, the model reproduces the standard ΛCDM expansion history within observational bounds while embedding ΛCDM as a limiting case. At the linear perturbation level, the low effective sound speed ensures clustering behavior compatible with large-scale structure formation. This version includes: full Lagrangian formulation, background cosmology, linear growth analysis, effective parameter-level comparison with observational constraints (H₀, Ωₘ, Ωb, nₛ, σ₈), discussion of large-scale phenomenological implications. The analysis is performed at the background and linear-growth level. A full Boltzmann-code implementation and joint likelihood analysis are left to future work. This release supersedes previous versions and represents a stabilized theoretical formulation of the RM framework suitable for archival and citation purposes.

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Cite This Study

luca bandini (2026) studied this question.

synapsesocial.com/papers/699a9e20482488d673cd4a18https://doi.org/10.5281/zenodo.18714894
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