What question did this study set out to answer?

This work aims to establish a verification matrix for blind astrophysical predictions utilizing a zero-parameter approach.

May 21, 2026Open Access

Zero-Parameter Blind Predictions Matrix under UMM v8.1 / v8.2 Framework

Key Points

This work aims to establish a verification matrix for blind astrophysical predictions utilizing a zero-parameter approach.
Calculations executed within the UMM v8.1/v8.2 framework, focusing on a fixed metric resonance invariant (ζ = 1.024).
Numerical simulations conducted on parallelized CUDA blocks, optimizing mapping in a 256³ coordinate space.
Predictions generated for five specific astrophysical targets with deterministic velocities across critical radii.
Produced a frozen verification matrix containing five distinct blind astrophysical predictions.
Predictions include deterministic propagation velocities across coordinate shells for targeted astronomical objects.
Rejects any dynamical parameter-tuning associated with the ΛCDM framework, reinforcing the integrity of the proposed framework.

Abstract

Author: Efim S. Markov May 20, 2026 Abstract: This dataset/preprint establishes a frozen, immutable verification matrix containing five distinct blind astrophysical predictions calculated via the Universal Metric Mismatch (UMM v8.1 / v8.2) framework and the V256 Lattice Core. All calculations utilize a zero-parameter approach, strictly locked to the metric resonance invariant (ζ = 1.024) and the mechanical slip factor (α = 0.024). These predictions are published prior to the decompression and public release of the respective instrumental archives by international collaborations (DESI, ESA Euclid, JWST, Vera C. Rubin, and Nancy Grace Roman) scheduled for the 2026–2027 cycle. Theoretical Framework:Rejects dynamical parameter-tuning, modification of gravitational constants, or arbitrary scaling functions associated with the ΛCDM paradigm. Predictive Matrix:Contains deterministic propagation velocities (Vpred) across coordinate shells at critical radii (Rcrit) for targets: DESI-ANOM-2026-A, EUCLID-VOID-G14, JWST-PEARLS-z14, VERA-RUBIN-COMP-4, and ROMAN-UDG-TARGET-1. Computational Architecture: Numerical simulation executed on parallelized CUDA-based execution blocks, mapping the discrete 256³ coordinate space directly onto GPU memory arrays. Licensing Note:This material is explicitly licensed under the Creative Commons Attribution Non Commercial No Derivatives 4.0 International and PolyForm noncommercial 1.0.0. Commercial utilization, including the scraping, harvesting, parsing, or ingestion of this text and its mathematical content for training commercial Artificial Intelligence (AI) models, is strictly prohibited. (C) 2026 Markov Efim Sergeevich.All rights reserved.

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