Experimental constraints on the nearly minimal supersymmetric standard model and implications for its phenomenology
Bibliographic record
Abstract
We examine various direct and indirect experimental constraints on the nearly minimal supersymmetric standard model (nMSSM) and obtain the following observations: (i) Current experiments stringently constrain the parameter space, setting a range of $1\ensuremath{\sim}37\text{ }\text{ }\mathrm{GeV}$ for the lightest neutralino ${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{0}$, $30\ensuremath{\sim}140\text{ }\text{ }\mathrm{GeV}$ ($1\ensuremath{\sim}250\text{ }\text{ }\mathrm{GeV}$) for the lightest $CP$-even ($CP$-odd) Higgs boson, and $1.5\ensuremath{\sim}10$ for $\mathrm{tan}\ensuremath{\beta}$; (ii) To account for the dark matter relic density, besides the $s$-channel exchange of a $Z$ boson, the $s$-channel exchange of a light ${A}_{1}$ (the lightest $CP$-odd Higgs boson) can also play an important role in lightest supersymmetric particle annihilation. Compared with the $Z$-exchange annihilation channel, the ${A}_{1}$-exchange channel is more favored by muon $g\ensuremath{-}2$ data and allows much broader regions for the parameters; (iii) In a large part of the allowed parameter space the SM-like Higgs boson may dominantly decay to ${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{0}{\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{0}$ or ${A}_{1}{A}_{1}$ and the conventional visible decays (e.g. into bottom quarks) are severely suppressed.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".