Axion Basinschein : A search for gravitationally bound solar axions via stimulated decay into photons
Bibliographic record
Abstract
Abstract A recent study has found that massive particles like axions emitted from stars can enter gravitationally bound orbits around them. These particles then accumulate over the large astronomical lifetime of the star, forming a density profile around them called stellar basins. This density profile is known as the solar axion basin. In another study, it has been established that an electromagnetic signal with a wavelength corresponding to half of the axion mass produces a stimulated decay of axions into photons, which we call an echo. The geometry of this echo is such that the axion decays into two back-to-back facing photons. This master’s thesis combines these ideas to predict echo signals from axion stellar basins of various stellar objects, which we call basinschein. First, we predict the echo of keV axions from the basin of our sun, a white dwarf, and a neutron star. Secondly, consider the axion basin of our sun for various axion masses and predict their echo signals. Then, we estimate an echo signal from Milky Way’s dark matter halo. The echo signal from all these scenarios is too weak to be detected by past and present instruments; hence, it is improbable that we find a signature of such a phenomenon in current and archived data.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".