implosive-backreaction-utac
GenesisAeon Package 98 — cosmological backreaction as a falsifiable
mechanism for late-time acceleration without fundamental dark energy.
Distinct from implosive-genesis (P73) and implosive-origin-utac
(P33) — see DISCLAIMER.md.
What's real here
- Buchert (2000, General Relativity and Gravitation): the averaged Einstein equations for irrotational dust, and the kinematical backreaction term Q_D = variance(expansion) − 2·shear².
- Raesaenen (2004, JCAP): the wall/void two-region toy model this
package implements as
wall_void_backreaction(). - Wiltshire (2007, PRL): Timescape cosmology, the exact two-scale
Buchert average this package's
BuchertScalingModelis consistent with. - Israel & Stewart (1979, Annals of Physics): the causal theory
behind the effective-viscosity mechanism (
ViscousBackreaction). - A proven No-Go for the naive reading ("distributed matter alone accelerates the universe") — deliberately included, see DISCLAIMER.md for why this doesn't refute the actual mechanism.
- Green & Wald's (2011) counter-position — that small-scale inhomogeneities don't produce relevant backreaction — represented honestly as an open dispute, not omitted.
Quickstart
pip install implosive-backreaction-utac
from implosive_backreaction_utac import (
naive_hypothesis_accelerates, # the No-Go: False for realistic G_eff(a)
wall_void_backreaction, # Q_D from regional expansion-rate variance
BuchertScalingModel, # power-law closure, w_X, transition redshift
ViscousBackreaction, # closed-form H(a), q(a) -> -1 at late times
compare_models, # q(a)/w_eff(a) side by side vs LambdaCDM
)
print(naive_hypothesis_accelerates(s=0.2)) # False -- the naive reading fails
q_d = wall_void_backreaction(f_v=0.8, h_v=1.4, h_w=0.6)
model = BuchertScalingModel(q0=q_d, n=-0.5)
print(model.w_x) # -5/6: a dynamical, accelerating effective fluid
viscous = ViscousBackreaction(zeta=0.05, g_newton=1.0, h0=1.0)
print(viscous.q(a=100.0)) # approaches -1: late-time acceleration
Development
pip install -e ".[dev]"
pre-commit install
ruff check src tests
mypy src
pytest
Citation
See CITATION.cff and .zenodo.json.
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