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Joint Fit Hard Constraint for Redshift Decomposition: Tension Potential Redshift Baseline and Path Evolution Redshift Micro-Adjustments, Dispersionless Across Carriers
V33-33.70 · F 证据节 / 显影节 ·
33.70 turns redshift decomposition into a retainable joint-fit court: after unified subtraction of z_ΛCDM, z_pec, z_grav, and z_sys, one frozen base-map path integral I(θ, z_s) must support a universal TPR coefficient α across source classes, spectral-line families, and carriers, the baseline-subtracted residual must resolve into a smaller discrete PER family co-located with strong-gradient structures, multi-line and multi-band readouts for the same source must preserve sign and ordering without dispersion-law rescaling, and the whole fit must beat base-map / label / bandwidth / low-z / structure-free nulls in held-out data; under V01/V08/V09-compatible retain, this remains one TPR–PER joint-fit ledger rather than a total redshift verdict.
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Keywords: Δz, TPR, PER, T(θ, z), I(θ, z_s), α, W(z, z_s), multi-line, multi-band, nondispersion
Section knowledge units
thesis
33.70 turns redshift residuals into a two-part court. The admissible claim is that one frozen base map supports both a smooth TPR baseline and a smaller discrete PER family across classes and carriers, rather than each source class receiving its own custom residual rulebook.
mechanism
The measurement ledger begins with Δz after one unified subtraction of z_ΛCDM, z_pec, z_grav, and z_sys. T(θ, z) and the path integral I(θ, z_s) are frozen under one W(z, z_s) and smoothing scale, one global α is checked across source classes, line families, and carriers, the baseline-subtracted residual is tested for discrete PER clustering, same-source multi-line and multi-band sign/order consistency, and the localization of baseline versus micro-adjustment structure along nearby sightlines.
mechanism
The workflow freezes decomposition before interpretation. Subtraction models are locked at the full-sample level, the base map and path integral are built first from lensing and structure data only, one full-sample α is fitted and then frozen before any PER family is inferred, held-out sky regions or object sets are reserved for final arbitration, and multi-line or multi-band data for the same source are aligned with one shared calibration chain inside the same co-located window.
evidence
Controls are aimed at the decomposition itself. Rotating or permuting the base map must collapse the Δz–I relation, redshift or line-label permutation must destroy α universality and discrete clustering, bandwidth changes must not reveal a standard dispersion law, low-redshift samples should weaken the TPR baseline, and structure-free sky regions with near-zero base map may not preserve a strong coherent bias.
boundary
Support requires one α that remains stable across classes and lines, a smaller discrete PER family that survives after α is frozen and stays nondispersive across lines and bands, and held-out replication with null controls that significantly degrade both correlation and clustering. Falsification follows from class-specific α values, dispersive micro-adjustments, no repeatable PER family, comparable null effects, or uncontrolled dependence on velocity-field modeling, calibration chains, or subtraction scope. The named adversaries are velocity-field and local gravitational-redshift errors, line-fitting and wavelength-calibration systematics, and selection-function or mask coupling.
interface
So the chapter closes only one retained TPR–PER joint-fit ledger aligned with the V01/V08/V09 redshift-decomposition lane. TPR may survive only as the frozen baseline color and PER only as the smaller localized refinement family, not as a one-chapter final verdict on total redshift ontology. Its clean onward value is to hand a reusable decomposition grammar into 33.71 and the later summary courts.