Bibliographic record
Abstract
The purpose of this thesis is to investigate a set of possible realizations of Supersymmetry and naturalness in beyond the Standard Model physics.We will mostly be interested in models that combine both aspects, but this will not prevent us from investigating models that are only supersymmetric without being natural or that are natural without being supersymmetric.More precisely, we will look at four different cases.First, we introduce our own variation of the Twin Higgs model, which we refer to as the spontaneous Z 2 breaking Twin Higgs.The main feature of the model is that the Z 2 breaking is spontaneous instead of explicit.In addition to the theoretical appeal of this, other advantages are that it reduces tuning and makes many mirror particles very heavy.Second, we study collider constraints on Mini-Split models of Supersymmetry.More precisely, we study the current constraints on anomaly and gauge mediation, as well as their prospects for Run-II of the LHC and a future 100 TeV proton collider.We decaying before electroweak phase transition.The yellow region corresponds to χ B 2 decaying before freeze-out.The pink region is excluded by washout. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .150 8.10 Contour plots of constant Ω ΔB .The blue region corresponds to χ B 2 decaying before electroweak phase transition.The yellow region corresponds to χ B 2 decaying before freeze-out. . . . . . . . .
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".