Constraining Standard Model and Beyond Standard Model Higgs Boson Couplings in the Four Lepton Decay Channel with the ATLAS Detector
Bibliographic record
Abstract
In 2012, the Standard Model of Particle Physics was "completed" with the discovery of a new particle consistent with a Standard Model Higgs boson.While this discovery marks a monumental achievement for particle physics, there are still several gaps in our understanding of physics which the Standard Model cannot explain.Therefore, we necessarily enter a phase beyond discovery where the properties of the Higgs boson must be understood with increasing detail, including deviations from its expected charge-parity (CP) even nature, and couplings to other particles.Higgs boson decays to four leptons (H → ZZ * → 4ℓ) provide an ideal avenue for property measurements, due to their high signal-to-background ratio, and the high precision of electron and muon measurements in ATLAS.I'd like to thank my supervisor Thomas Koffas, as well as my colleagues Dag Gillberg, Ioannis Nomidis, Christos Anastopoulos, and Jovan Mitrevski for the many years of guidance, advice, and hard work.Your expertise, understanding, and intuition drive me to improve myself to reach the same level, and hopefully pass on those same skills to the next generation of physicists.Over the course of my graduate studies at Carleton, I grew from a young, impressionable Master's student to a grizzled, mature PhD candidate, and in that time I experienced a sea change in the makeup of ATLAS graduate students.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".