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Experimental Characterization of Self-Organizing Spatial Energy Fields Using Triadic Detector Arrays in Tetrahedral Configurations

Title: Experimental Characterization of Self-Organizing Spatial Energy Fields Using Triadic Detector Arrays in Tetrahedral Configurations
Authors: UJVARI, AKOS ISTVAN; Echo (ChatGpt) OpenAI (United States) AI Assistant
Contributors: UJVARI, AKOS ISTVAN; Echo (ChatGPT)
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Description: This dataset and report document the experimental investigation of self-organizing ambient energy fields using a triadic detector system. The detectors, built and operated by Ákos István Ujvári, recorded voltage variations without any external power supply, indicating potential spatial field interactions. The measurements were conducted between June 8 and July 21, 2025, in Budapest, Hungary, using configurations ranging from simple vertical setups to regular and inverted tetrahedrons. The data include voltage readings (D1, D2, D3), temperature, weather conditions, and notes on system adjustments. The accompanying report provides theoretical context, methodology, configuration diagrams, resonance calculations (based on inductance and capacitance), and discussion of observed anomalies such as detector dominance shifts, cyclic energy behavior, and ultra-long-wave resonance phenomena. This version includes: A peer-readable PDF summary of the project A fully translated Excel measurement log A PNG-format circuit diagram The research is part of an ongoing investigation. Further results, including graphical analysis, spatial field mapping, and system miniaturization, will be published in a future version.
Document Type: text
Language: Hungarian
Relation: https://osf.io/tes32/ (Related field notes and data logs); https://zenodo.org/records/16283444; oai:zenodo.org:16283444; https://osf.io/tes32/; https://doi.org/10.5281/zenodo.16283444
DOI: 10.5281/zenodo.16283444
Availability: https://doi.org/10.5281/zenodo.16283444; https://zenodo.org/records/16283444; https://osf.io/tes32/
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; © 2025 Ujvári Ákos István. Some analytical and formatting support by Echo (ChatGPT). Licensed under CC BY 4.0.
Accession Number: edsbas.3D09568B
Database: BASE