Direct Numerical Proof of First Stars via Chemical Field Modeling

This paper presents a direct, observation-independent numerical validation of the existence of Population III stars—the Universe's first generation—by applying a trigonometric-algebraic chemical field model. Unlike conventional cosmological models that rely on electromagnetic observations, this model leverages a multi-term field function to predict energy thresholds consistent with early stellar formation. The function integrates oscillatory and polynomial behavior, mirroring cosmic expansion, baryonic density fluctuations, and gravitational curvature. Calculated energy densities align quantitatively with theoretical thresholds required for star ignition, offering a new framework for direct field-based detection of primordial stellar conditions.The author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this work.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29143775.v1
Primary Topic
Ion Channels and Receptors
Type
article
Field-Weighted Citation Impact
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Direct Numerical Proof of First Stars via Chemical Field Modeling

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Ion Channels and Receptors
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Direct Numerical Proof of First Stars via Chemical Field Modeling

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Abstract

This paper presents a direct, observation-independent numerical validation of the existence of Population III stars—the Universe's first generation—by applying a trigonometric-algebraic chemical field model. Unlike conventional cosmological models that rely on electromagnetic observations, this model leverages a multi-term field function to predict energy thresholds consistent with early stellar formation. The function integrates oscillatory and polynomial behavior, mirroring cosmic expansion, baryonic density fluctuations, and gravitational curvature. Calculated energy densities align quantitatively with theoretical thresholds required for star ignition, offering a new framework for direct field-based detection of primordial stellar conditions.The author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this work.

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Ion Channels and Receptors
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