Beauty from Senselessness: Searching for Signals of Beyond the Standard Model Physics in a Complex World.
Bibliographic record
Abstract
In this thesis I explore a collection of disparate approaches in the search for new physics beyond the Standard Model (BSM).The research here focuses on the potentially interesting signals that BSM physics could produce; the result is a combination of model building, cosmology, collider physics, and gravitational waves.The signals of the new physics are determined and used to discuss both the discovery potential of next-generation experiments and the parameter space bounds from current collaborations.There are three projects that make up the core of the research presented here.The first of these explores the possibility of detecting gravitational waves generated by first-order phase transitions in multiple dark sectors.The cosmological history of this framework is outlined and the gravitational wave profiles are generated. Statement of OriginalityThe background chapters 2, 3, & 4 are reviews of the SM, cosmology, and relevant BSM models, respectively.The material for the first two is well established and has entered the realm of textbooks (with the exception of Sec.3.5.1,which contains original material from [1]); whereas the BSM chapter contains work that is more modern and somewhat speculative.In all cases, sources are listed at the beginning of the relevant chapter.The following chapters 5, 6, & 7 contain original research.Each of these projects were done in collaboration with other physicists with contributions as follows:1. Gravitational Wave Signals from Multiple Hidden Sectors [1]:This project was done in collaboration with Dylan Linthorne and Daniel Stolarski.The particle physics calculations were carried out by P.A.S including the reheaton decays, N ef f constraints, phase transition temperatures, hidden sector energy densities, and thermal evolution of the hidden sectors.These results were utilized by Dylan Linthorne to calculate and plot the gravitational wave profiles against the next-generation detector limits.The detector limits and gravitational wave profiles were checked by P.A.S. Higgs Portal from the Atmosphere to Hyper-K [2]:This work was done in conjunction with Yue Zhang.The original geometry work was completed by Yue Zhang.P.A.S checked these results and then applied them in a semi-analytical calculation determining the rate and kinematics of scalar portal particle decays in large-volume neutrino detectors.The energy and kinematic distributions were plotted by P.A.S.The number of signal events v over ten years were calculated by P.A.S; these results were used by Yue Zhang to generate the contour plots of Fig. 6.3. On New Physics contribtuions to the Higgs decay to Zγ [3]:The final project was produced in collaboration with Daniel Stolarski and Roberto Vega-Morales.All calculations for this project were carried out by P.A.S. Code written by Roberto Vega-Morales was utilized in the 4-lepton analysis portion to determine the number of signal events required for statistical discrimination of SM and BSM scenarios.vi
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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 | 0.001 | 0.006 |
| 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 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".