Primordial lithium puzzle and the axion quark nugget dark matter model
Bibliographic record
Abstract
Astrophysics today faces a number of mysteries which define their resolutions in spite of drastic improvements in instrumental design, better techniques being developed, and gradual improvements in theoretical and computation methods over last decades. The primordial lithium puzzle is known to stay with us for at least two decades, and it is very likely that its final resolution will require some fundamentally new ideas, novel frameworks and nonconventional paradigms. We propose that the primordial lithium puzzle finds its natural resolution within the so-called axion quark nugget (AQN) dark matter model. This model was invented long ago as a natural explanation of the observed ratio ${\mathrm{\ensuremath{\Omega}}}_{\mathrm{dark}}\ensuremath{\sim}{\mathrm{\ensuremath{\Omega}}}_{\text{visible}}$ without any references to big bang nucleosyntheis physics. In this new paradigm, in contrast with the conventional WIMP (weakly interacting massive particle) framework the dark matter takes the form of the macroscopically large quark nuggets without requiring any new fields beyond the standard model physics, except for the axion. The time evolution of these AQNs in primordial soup at $T\ensuremath{\sim}20\text{ }\text{ }\mathrm{KeV}$ suggests a strong suppression of the abundances of nuclei with high charges $Z\ensuremath{\ge}3$. This suppression mechanism represents the resolution of the primordial lithium abundance within AQN dark matter scenario.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".