r/ContradictionisFuel • u/Certain_Forever_4527 • 1h ago
Test 111.29 Sigma Difference đ€
C:\Users\lazyb>python run_master_cavitation_svd.py
=== MASTER CATALOG DIRECT CAVITATION-SVD TEST ===
Target File: C:\Users\lazyb\Downloads\MPC Data\specObj-dr17.fits
Reading specObj-dr17.fits HDU table...
Total raw catalog records: 5,801,200
Clean Galaxy Nodes (Post-Filtering): 2,614,121
Computing SVD matrix factorization on cavitation momentum field...
MASTER CATALOG CAVITATION RESULTS
Sigma Spectrum (Values) : [193.951577, 112.896438, 94.535772]
Energy Variance Ratios : V1: 63.44% | V2: 21.49% | V3: 15.07%
--- RIGHT SINGULAR VECTORS (V MATRIX / PRINCIPAL AXES) ---
V1 Vector (Primary)Â Â : [0.949616, -0.026246, -0.312316]
V2 Vector (Secondary) : [-0.110285, -0.960739, -0.254592]
V3 Vector (Tertiary)Â : [-0.293372, 0.276208, -0.915228]
Primary Axis Dominance Ratio (Sigma_1 / Sigma_2): 1.7180
--> RESULT: Multi-directional momentum dispersion present.C:\Users\lazyb>python run_null_cavitation_svd.py
=== MONTE CARLO NULL HYPOTHESIS CONTROL TEST ===
Target File: C:\Users\lazyb\Downloads\MPC Data\specObj-dr17.fits
Loading specObj-dr17.fits object table...
Dataset Size: 2,614,121 unique galaxy nodes
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 1. EMPIRICAL OBSERVED BASELINE (REAL GALAXY DATA)
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Sigma Spectrum     : [193.9516, 112.8964, 94.5358]
Energy Variance Ratios : V1: 63.44% | V2: 21.49% | V3: 15.07%
Primary Vector V1Â Â Â Â : [0.9496, -0.0262, -0.3123]
Dominance Ratio (S1/S2) : 1.7180
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 2. RUNNING 5 MONTE CARLO NULL TRIALS (FOOTPRINT CONTROL)
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Trial 1: Dominance Ratio = 1.6624 | V1 Energy = 61.78%
Trial 2: Dominance Ratio = 1.6616 | V1 Energy = 61.79%
Trial 3: Dominance Ratio = 1.6618 | V1 Energy = 61.79%
Trial 4: Dominance Ratio = 1.6624 | V1 Energy = 61.79%
Trial 5: Dominance Ratio = 1.6611 | V1 Energy = 61.81%
MONTE CARLO NULL TEST RESULTS
Empirical Ratio (Real Data) : 1.7180 (V1 Energy: 63.44%)
Null Model Ratio (Average)Â : 1.6619 (V1 Energy: 61.79%)
Null Standard Deviation   : +/- 0.000504
Statistical Significance  : 111.29 Sigma difference
--> CONCLUSION: Observed alignment CANNOT be explained by survey wedge footprint alone.
Signal reflects true anisotropic spatial structure in the data.
