How dark are Majorana WIMPs? Signals from magnetic inelastic dark matter and Rayleigh dark matter
Bibliographic record
Abstract
The effective interactions of dark matter with photons are fairly restricted. Yet both direct detection as well as monochromatic $\ensuremath{\gamma}$-ray signatures depend sensitively on the presence of such interactions. For a Dirac fermion, electromagnetic dipoles are possible but are very constrained. For Majorana fermions, no such terms are allowed. We consider signals of an effective theory with a Majorana dark matter particle and its couplings to photons. In the presence of a nearby excited state, there is the possibility of a magnetic dipole transition (magnetic inelastic dark matter), which yields both direct and indirect detection signals and, intriguingly, yields essentially the same size over a wide range of dipole strengths. Absent an excited state, the leading interaction of weakly interacting massive particles is similar to the Rayleigh scattering of low-energy photons from neutral atoms, which may be captured by an effective operator of dimension 7 of the form $\overline{\ensuremath{\chi}}\ensuremath{\chi}{F}_{\ensuremath{\mu}\ensuremath{\nu}}{F}^{\ensuremath{\mu}\ensuremath{\nu}}$. While it can be thought of as a phase of the magnetic inelastic dark matter scenario where the excited state is much heavier than the ground state, it can arise from other theories as well. We study the resulting phenomenology of this scenario: gamma-ray lines from the annihilation of weakly interacting massive particles; nuclear recoils in direct detection; and direct production of the weakly interacting massive particle pair in high-energy colliders. Considering recent evidence in particular for a 130 GeV line from the Galactic center, we discuss the detection prospects at upcoming experiments.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".