Solar corona heating by axion quark nugget dark matter
Bibliographic record
Abstract
In this work we advocate for the idea that two seemingly unrelated 80-year-old mysteries---the nature of dark matter and the high temperature of the million degree solar corona---may have resolutions that lie within the same physical framework. The current paradigm is that the corona is heated by nanoflares, which were originally proposed as miniature versions of the observed solar flares. It was recently suggested that the nanoflares could be identified as annihilation events of the nuggets from the axion quark nugget (AQN) dark matter model. This model was invented as an explanation of the observed ratio ${\mathrm{\ensuremath{\Omega}}}_{\mathrm{dark}}\ensuremath{\sim}{\mathrm{\ensuremath{\Omega}}}_{\text{visible}}$, based only on cosmological and particle physics considerations. In this new paradigm, the AQN particles moving through the coronal plasma and annihilating with normal matter can lead to the drastic change of temperatures seen in the Sun's transition region (TR), and significantly contribute to the extreme ultraviolet (EUV) excess of ${10}^{27}\text{ }\text{ }\mathrm{erg}\text{ }{\mathrm{s}}^{\ensuremath{-}1}$. To test this proposal, we perform numerical simulations with a realistically modeled AQN particle distribution and explore how the nuggets interact with the coronal plasma. Remarkably, our simulations predict the correct energy budget for the solar corona, and show that the energy injection mostly occurs at an altitude of around 2000 km, which is where the TR lies. Therefore, we propose that these long unresolved mysteries could be two sides of the same coin. We make several predictions based on this proposal, some of which could be tested by the recently launched NASA mission, the Parker Solar Probe.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.008 |
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 teacher head, 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".