Theoretical and Experimental Constraints on Large Electroweak Scalar Multiplets
Bibliographic record
Abstract
We apply theoretical and experimental constraints to models that extend the Standard Model (SM) with scalar electroweak SU(2) L multiplets of isospin T ≥ 1.Using tree-level perturbative unitarity, we determine that such multiplets may have a maximum weak isospin T ≤ 7/2 (4) if they are complex (real).We also determine an• The results of Sec.7.4 have been published in Ref. [7] and were presented by the author at 'BSM at LPC 2014' (Fermilab).-We have adapted many results from the literature in this section, as referenced.We are the first to apply many of these results to the GM model (as noted), but these formulas are not original and have not been re-derived.Apart from the reservations listed above, this research is entirely new and original (to our knowledge) and has not been submitted as the final project of another degree.In the appendices we present the Feynman rules of the relevant models, as well as some supplemental formulas for scalar decays used in the Georgi-Machacek model analysis.vi
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".