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Record W4226354275 · doi:10.22215/etd/2022-14882

Searching Beyond the Standard Model: Bridging the Gap Between Theory and Data

2022· dissertation· en· W4226354275 on OpenAlexaff
Dylan Linthorne

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhysicsHidden sectorGravitational waveDark matterLarge Hadron ColliderGravitationStandard Model (mathematical formulation)UniverseNaturalnessPhysics beyond the Standard ModelCosmologyParticle physicsTheoretical physicsAstrophysicsAstronomy

Abstract

fetched live from OpenAlex

The current standard model (SM) of particle physics is known to be an incomplete model of the Universe.Experiments have given strong evidence for the existence of dark matter.Other alterations to the SM could include the presence of extra forces and/or non-standard cosmologies.In our current era, we have many experimental methods that can probe the boundaries of the SM using particle colliders, astrophysical observatories, or gravitational wave interferometers.In the latter case, we explore Sagan taught us how insignificant we are when compared to the sheer beauty and awe of the world.When I see my brother, it's the opposite.The world slowly seeps away with every word we share.v Statement of Originality The background chapters 1, 2, & 3 are reviews of the Standard Model, cosmology, and relevant analysis methods, respectively.Majority of the material for these chapters is well established and is covered in various textbooks.In the first chapter the main sources being: Peskin and Schroeder's "An Introduction to Quantum Field Theory" [1] and Matthew Schwartz's "Quantum Field Theory and the Standard Model" [2].In Chapter 2 the main sources are: Kolb and Turner's "The Early Universe" [3] and James Hartle's "Gravity" [4].In Chapter 3 the main sources are: Maxim Perelstein's TASI lectures "Introduction to Collider Physics" [5] , John Campbel et al's "The Black Book of Quantum Chromodynamics: A Primer for the LHC Era" [6], and Glen Cowan's "Statistical Data Analysis" [7].The following chapters 4 & 6 and appendix B contain original research.Each of these projects were done in collaboration with other physicists with contributions as follows: Ch. 4 Gravitational Wave Signals from Multiple Hidden Sectors [8]: This project was done in collaboration with Paul Archer-Smith and Daniel Stolarski.D.L proposed the idea of using multiple hidden sectors as a generator of unique gravitational wave signals.Both P.A.S and D.L found the appropriate toy model of N naturalness and reheating schemes.The particle physics calculations were carried out by P.A.S including hidden sector particle spectra, Ne↵ constraints, reheating scenarios, and energy density calculations.D.L calculated the thermal dynamic variables of the phase transitions, gravitational wave (MHD, Sound, and Scalar field) contributions at production and today, (non)runaway regimes, power law sensitivities curves for each proposed interferometer, and resulting plots.All work was closely checked and discussed by all collaborators.vi Ch. 5 Triggering on Emerging Jets [10]: This work was done in collaboration with D.S using one of his original models.The work was proposed and supervised by D.S.The bulk of the work was conducted by D.L with constant checks and discussion with D.S. Ap.B Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider [9]: This work was done with one of the white paper's sub-collaborations, focused on the topic of dark showers.The collaboration highlighted the current theoretical landscape containing dark showers and limitations of Monte-Carlo modelling.D.L and D.S both contributed a review of emerging jets and semi-visible jets.D.L assisted in showing the quantifiable constraints of current Monte Carlo methods using visual distributions of extreme case scenarios.It has been placed in Appendix b for the purpose of generically defining two di↵erent dark showering implementations; simivisible jets and emerging jets.Chapters 1 and 5 build o↵ of the generic emerging jets model for di↵erent hidden valley mediators, hidden sector spectra, and quantum numbers.vii

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0040.006
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.034
GPT teacher head0.353
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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