Relativistic effects and photon-mirror interaction – energy absorption and time delay
Bibliographic record
Abstract
This research paper explores the intricate interplay between photons and mirrors, shedding light on the processes that occur during photon-mirror interactions. We delve into the absorption of photons by electrons on a mirror’s surface, which leads to energy gain and movement of electrons to higher energy levels. This interaction, akin to photoelectric absorption, is fundamental to understanding the behavior of light and mirrors. The paper investigates the principles of mirror reflectivity, highlighting the optimization of reflectivity by minimizing energy absorption \(\mathrm{\Delta E}\) to maintain high reflectivity. We also examine the angles of incidence and reflection, emphasizing their equal values and the related sum of angles. Through careful analysis, we establish that the energy difference between incident and reflecting photons, denoted as \(\mathrm{\Delta E}\), corresponds to a time delay \(\mathrm{\Delta t}\) between the photons. This unique relationship between energy and time delay introduces the concept of infinitesimal time delay during reflection, contributing to a time distortion in the behavior of light. The research culminates in the assertion that the constancy of motion of a photon of light is disrupted when it is reflected by a mirror due to the introduced time delay.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".