Unifying the Constants of Nature: Deriving Mass Gravity and Expansion from χ the Chronos Constant
Authors/Creators
Description
This paper introduces the Chronos Theory, a novel framework that redefines time not as a passive coordinate but as a quantized, energetic field composed of discrete units called chronons. At its foundation is the proposed 27th fundamental constant, χ (the Chronos Constant), defined as χ = h / tₚ, representing the minimum energy of a single chronon.
This theory reframes the existing 26 constants of nature—not as fundamental inputs, but as emergent properties resulting from structured oscillations, density gradients, and coherence patterns in the chronon field. Through the Chronos-HOPE Stability and System Evolution Equation (CHaSSE), the framework derives mass, gravity, dark matter, and cosmic expansion from the behavior of this time field, providing a unified physical substrate linking quantum mechanics, general relativity, and cosmology.
The paper includes field-based reformulations of Planck's constant (h), Newton’s gravitational constant (G), and the speed of light (c) as derivatives of χ, offering a potential path toward a truly unified theory of physics grounded in time as a dynamic, energetic medium.
Key contributions include:
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A derivation of inertial mass from time field curvature.
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Redefinition of dark matter and dark energy as coherence effects in the temporal field.
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New explanations for the Hubble constant and cosmological constant.
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Compatibility with existing models such as GR and the Standard Model in low-gradient limits.
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A new route to unification using the HOPE (Harmony, Order, Predictive Equation) framework.
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Testable predictions involving decay rate shifts, clock drift, and cosmic lensing deviations.
This work challenges traditional views and offers a rigorous, falsifiable, and simulation-backed approach to reinterpreting the constants of nature through the physics of time itself.
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Unifying_the_Constants_of_Nature__Deriving_Mass__Gravity__and_Expansion_from_chi__the_Chronos_Constant.pdf
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Additional details
Related works
- Is supplement to
- Preprint: 10.5281/zenodo.15004318 (DOI)
- Preprint: 10.5281/zenodo.14940343 (DOI)
- Preprint: 10.5281/zenodo.14891029 (DOI)
- Preprint: 10.5281/zenodo.15086476 (DOI)
Software
- Repository URL
- https://codeocean.com/capsule/6854935/tree
- Programming language
- Python
- Development Status
- Active
References
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