Solar neutrino spectrum of quark nugget dark matter
Bibliographic record
Abstract
The capture of dark matter by the Sun and its subsequent annihilation may produce an observable feature in the solar neutrino spectrum. We analyze this possibility in the case where the dark matter takes the form of heavy nuggets of quark matter. In this scenario neutrinos are produced in nuclear annihilations deep within the quark matter. The production of neutrinos and antineutrinos at typical nuclear annihilation energies in the 20--50 MeV range is strongly constrained by data from Super-Kamiokande and in this region there is no background from conventional solar processes. However, we demonstrate that a cascade generated by a nuclear annihilation within the nuggets rapidly transfers its energy down to the lightest pseudo-Goldstone mesons (the pions and Kaons) which have masses in the $\ensuremath{\lesssim}20\text{ }\text{ }\mathrm{MeV}$ range, significantly lighter than the vacuum mesons for which ${m}_{\ensuremath{\pi}}\ensuremath{\simeq}140\text{ }\text{ }\mathrm{MeV}$. Thus, the decay of these light pseudo-Goldstone modes of the quark matter phase will not produce neutrinos at the same scale as those seen from annihilations occurring in vacuum. In this work we predict the basic properties of the resulting neutrino spectrum and argue that, while nuggets composed of purely nuclear matter would be effectively ruled out by present neutrino flux constraints, there remains a wide class of viable models. Furthermore, we emphasize the potential for continued neutrino observations with the current generation of detectors to offer a strong test of these models.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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".