Annual Fluctuations in Local Photon Counts Reflect Differential Distances from the Galaxy’s Singularity: Astronomical, Chemical and Biology Implications
Bibliographic record
Abstract
A conspicuous annual variation in the photon flux density of ~10-12 W·m-2 by a photomultiplier tube housed in a hyperdark ground level setting was within the range expected for the small changes in the earth’s distance per orbit from the energetic entropy (Joules) of the singularity at the center of the galaxy. For the Bekenstein-Hawking relation to be congruent the singularity’s power must reflect the galaxy’s age. The power (W) per volume at the distance of the earth when divided into the peak-to-trough change in photon flux density for minimum-maximum distances from the galactic center converged with the Compton wavelength for an electron. Subsequent calculations indicated that the discrepancy between the magnetic moments of the orbit/spin of the electron and of the proton when the energy associated with the neutral hydrogen line is involved with the Bohr atom also solve for the Compton electron wavelength. The most likely local mechanism to satisfy the hyperfine currents that are in the order of 10-15 A within the width of plasma membrane phenomena would be proton channels when pH ranges from about 5.8 to 7.4 which can occur transiently near neurons. The measured photon flux densities multiplied by known diffusion velocities of protons in water could produce energy levels of ~10-20 J per square unit of time. The results suggest the potential for collapsing de Broglie particle-wave properties of an electron involves energies associated with neuronal action potentials coupled to cognition and that this potential may be spread through the galactic volume as pervasive photon flux densities originating from the singularity at the center.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".