Bibliographic record
Abstract
We studied a simple model of the hidden sector that consists of a Dirac fermion $\ensuremath{\chi}$ and a spontaneously broken $U(1{)}_{s}$ symmetry. The dark sector is connected to the Standard Model (SM) via three right-handed SM singlet neutrinos, ${N}_{R}$'s, and the kinetic mixing between $U(1{)}_{s}$ and $U(1{)}_{Y}$. A mixing between the scalar $\ensuremath{\phi}$ that breaks $U(1{)}_{s}$ and the SM Higgs boson $H$ is implemented via the term ${\ensuremath{\phi}}^{\ifmmode\dagger\else\textdagger\fi{}}\ensuremath{\phi}{H}^{\ifmmode\dagger\else\textdagger\fi{}}H$, and this provides a third connection to the SM. Integrating out the ${N}_{R}$ at a high scale not only gives the active neutrinos $\ensuremath{\nu}$ masses but generates effective Dirac-type couplings between $\ensuremath{\nu}$ and $\ensuremath{\chi}$. This changes the usual type-I seesaw mechanism results for active neutrino masses and makes $\ensuremath{\chi}$ behave like a sterile neutrino even though its origin is in the hidden sector. Note that $\ensuremath{\chi}$ is also split into a pair of Majorana fermions. The amount of splitting depends on the parameters. If the lighter of the pair has a mass around keV, its lifetime is longer than the age of the Universe and it can be a warm dark matter candidate. Signatures of $\ensuremath{\chi}$ in high precision Kurie plots of nuclei $\ensuremath{\beta}$ decays and low energy neutrino nuclei coherent scatterings are discussed. The model also induces new invisible $Z$ decay modes that can be searched for in future Z factories.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".