Dark Matter and Collider Phenomenology of Large Electroweak Scalar Multiplets
Bibliographic record
Abstract
The Universe must contain some form of dark matter (DM), based on many astrophysical and cosmological observations. The Standard Model of particle physics (SM) does not contain a DM candidate. We may extend the SM by the addition of a single large electroweak complex scalar multiplet. These multiplets may have at most 8 members. Based on the isospin and hypercharge assignments, and the form of the scalar potential, the models we examine in this thesis have either 6 or 8 members. One of the newly-introduced particles is a DM candidate. We use the following theoretical considerations and experimental results to constrain the parameter space of these models: perturbative unitarity of scattering; stability of the scalar potential; direct searches for new physics at the LHC; electroweak observables (STU); and decays of the Higgs boson. We then compute the relic abundance in the models to determine the viability of our DM candidate. Finally, we examine the prospects of discovery at direct detection experiments. We find that these models may form part of the total DM content in the mass range 80-1000 GeV, and will begin to be probed in the direct detection experiments currently under construction. For the mass range > 5 TeV, we must also consider the effects of co-annihilation and Sommerfeld enhancement. In this range, our DM candidate may be all of the DM, but will require a subsequent generation of direct detection experiments to probe its parameter space.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".