"Predicting Dark Matter Signatures via Scalar Temporal Field Dynamics"
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2025
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| _version_ | 1866902127133065216 |
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| author | Anwar, Morgan |
| author_facet | Anwar, Morgan |
| contents | <p>This paper introduces a unified physical framework in which all fundamental forces and phenomena—mass, gravity, electromagnetism, and even dark matter—emerge from a single scalar temporal field . Using this time-based model, we derive key physical constants, particle energies, and field interactions without requiring separate postulates. Crucially, the model predicts the gravitational influence of unseen mass by calculating deviations in temporal redshift, matching observed dark matter effects. By applying this framework to real astrophysical data (e.g., SN 03D1au), we extract a ~30% discrepancy consistent with dark matter estimates. This suggests that what we interpret as dark matter may be a natural consequence of evolving temporal field geometry, offering a novel explanation rooted entirely in time dynamics.</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15459589 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | "Predicting Dark Matter Signatures via Scalar Temporal Field Dynamics" Anwar, Morgan <p>This paper introduces a unified physical framework in which all fundamental forces and phenomena—mass, gravity, electromagnetism, and even dark matter—emerge from a single scalar temporal field . Using this time-based model, we derive key physical constants, particle energies, and field interactions without requiring separate postulates. Crucially, the model predicts the gravitational influence of unseen mass by calculating deviations in temporal redshift, matching observed dark matter effects. By applying this framework to real astrophysical data (e.g., SN 03D1au), we extract a ~30% discrepancy consistent with dark matter estimates. This suggests that what we interpret as dark matter may be a natural consequence of evolving temporal field geometry, offering a novel explanation rooted entirely in time dynamics.</p> <p> </p> |
| title | "Predicting Dark Matter Signatures via Scalar Temporal Field Dynamics" |
| url | https://doi.org/10.5281/zenodo.15459589 |