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1. Verfasser: Krüger, Marcel
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Veröffentlicht: Zenodo 2025
Online-Zugang:https://doi.org/10.5281/zenodo.18037922
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author Krüger, Marcel
author_facet Krüger, Marcel
contents <p>We present a unified residual analysis of the NIST “Strong Lines of Hydrogen (HI)” dataset, focusing on structured deviations that persist after the application of state-of-the-art quantum electrodynamics (QED) corrections. By combining the Sigma–Schmidt Duality (SSD) framework with an effective Helix–Light–Vortex (HLV) geometric parametrization, we analyze the residuals using a log–modulated ansatz featuring a discrete helical Z3 phase structure. Our analysis reveals a statistically significant reduction of χ2 relative to null and randomized control models, with a dominant n = 3 Fourier mode consistently emerging across independent Balmer and Paschen sub–series. Model comparison using information criteria (AIC/BIC) confirms the robustness of this geometric pattern against overfitting. These results establish high–precision hydrogen spectroscopy as a sensitive testbed for detecting structured residual signatures and provide a reproducible statistical framework for assessing effective, geometry–organized deviations within precision atomic data.</p>
format Recurso digital
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publishDate 2025
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record_format zenodo
spellingShingle SSD–HLV Modulation of Hydrogen Strong Lines: Cross–Scale Geometric Signatures in Precision Spectroscopy
Krüger, Marcel
<p>We present a unified residual analysis of the NIST “Strong Lines of Hydrogen (HI)” dataset, focusing on structured deviations that persist after the application of state-of-the-art quantum electrodynamics (QED) corrections. By combining the Sigma–Schmidt Duality (SSD) framework with an effective Helix–Light–Vortex (HLV) geometric parametrization, we analyze the residuals using a log–modulated ansatz featuring a discrete helical Z3 phase structure. Our analysis reveals a statistically significant reduction of χ2 relative to null and randomized control models, with a dominant n = 3 Fourier mode consistently emerging across independent Balmer and Paschen sub–series. Model comparison using information criteria (AIC/BIC) confirms the robustness of this geometric pattern against overfitting. These results establish high–precision hydrogen spectroscopy as a sensitive testbed for detecting structured residual signatures and provide a reproducible statistical framework for assessing effective, geometry–organized deviations within precision atomic data.</p>
title SSD–HLV Modulation of Hydrogen Strong Lines: Cross–Scale Geometric Signatures in Precision Spectroscopy
url https://doi.org/10.5281/zenodo.18037922