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Published July 3, 2025 | Version 1.0

Mathematical Constants in Cosmic Microwave Background: Preliminary Evidence for Information Processing Signatures During Inflation

Description

This research presents preliminary evidence for mathematical constant signatures in cosmic microwave background radiation, suggesting information processing operations during cosmic inflation. Analysis of Planck Legacy Archive data reveals statistically significant enhancements at predicted multipoles: π enhancement (3.9σ), √2 enhancement (2.6σ), and √5 suppression (-22.8σ), potentially representing geometric optimization selection effects in flat spacetime.

CONTENTS:
- Research paper with complete mathematical framework (PDF)
- Executive summary of key findings (PDF)  
- Detailed methodology for replication (PDF)
- Python analysis scripts (fixed_planck_analysis.py, colab version)
- Key visualization plots (PNG format)

IMPORTANT: Results are preliminary and require independent validation. Systematic effects identified and flagged for investigation. All materials provided for replication and verification by the scientific community.

This work bridges consciousness studies and observational cosmology through rigorous mathematical analysis, offering the first testable framework for information processing signatures in cosmic structure formation.

Methods (English)

Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

This work may be freely used, modified, and distributed with appropriate 
attribution to Michael Kevin Baines (ORCID: 0009-0001-8084-3870).

Please cite as: Baines, M.K. (2025). Mathematical Constants in Cosmic 
Microwave Background: Preliminary Evidence for Information Processing 
Signatures During Inflation. Zenodo. [DOI will be provided by Zenodo]

Files

Executive Summary - Mathematical Constants in Cosmic Microwave Background.pdf

Files (5.6 MB)

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Additional details

Dates

Copyrighted
2025-07-04
Copyright © 2025 Michael Kevin Baines (ORCID: 0009-0001-8084-3870). This work is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to share and adapt this material for any purpose, including commercially, provided you give appropriate credit, provide a link to the license, and indicate if changes were made. License: https://creativecommons.org/licenses/by/4.0/

Software

Programming language
Python