Bibliographic record
Abstract
This thesis investigates extensions of the Standard Model (SM) that are based on either supersymmetry or the Twin Higgs model.New experimental data, primarily collected at the Large Hadron Collider (LHC), play an important role in these investigations.Specifically, we examine the following five cases.We first consider Mini-Split models of supersymmetry.These types of models can be generated by both anomaly and gauge mediation and we examine both cases.LHC searches are used to constrain the relevant parameter spaces, and future prospects at LHC 14 and a 100 TeV proton proton collider are investigated.Next, we study a scenario where Higgsino neutralinos and charginos are pair produced at the LHC and promptly decay due to the baryonic R-parity violating superpotential operator λ ′′ U c D c D c .More precisely, we examine this phenomenology in the case of a single non-zero λ ′′3jk coupling.By recasting an experimental search, we derive novel constraints on this scenario.We then introduce an R-symmetric model of supersymmetry where the Rsymmetry can be identified with baryon number.This allows the operatorin the superpotential without breaking baryon number.However, the R-symmetry will be broken by at least anomaly mediation and this reintroduces baryon number violation.Under these conditions, we investigate baryon number violating processes and flavour physics, as well as the collider phenomenology of both stops and the first two generations of squarks assuming they decay due to a single non-zero λ ′′ 3jk coupling.There have been several experimental anomalies related to the quark level transition b → sℓℓ.We investigate these anomalies with the R-parity violating superpotential operator λ ′ LQD c .By examining diagrams featuring winos we find new pa-This thesis would not be possible without the considerable support I have received from many different people during my graduate studies at Carleton University.As such, I would like to acknowledge those who have helped me during the last six years.I apologize in advance to anyone who I have missed.First and foremost, I would like to express my immense gratitude to my supervisor Dr. Thomas Gre ́goire.I have benefitted greatly from not only his deep understanding of elementary particle physics, but also his unending patience and willingness to assist and guide me in my studies.Next, I would like to personally thank Dr. Hugues Beauchesne.During the first three years of my graduate studies, Hugues and I worked very closely on research projects.Perhaps the most important thing Hugues taught me during this time was the dedication and work ethic required to truly perform innovative research.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| 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".