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Record W4362576738 · doi:10.22215/etd/2023-15432

Dark Matter Phenomenology in the (g − 2)μ Motivated U(1)Lμ−Lτ Model Under a General Treatment of Kinetic Mixing

2023· dissertation· en· W4362576738 on OpenAlexaff
Timothy Hapitas

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhysicsPhenomenology (philosophy)Mixing (physics)Particle physicsAnomalous magnetic dipole momentMuonKinetic energyParameter spaceGauge bosonStandard Model (mathematical formulation)Physics beyond the Standard ModelDark matterU-1Gauge symmetryTheoretical physicsGauge theoryGauge (firearms)Quantum mechanicsMathematicsPhilosophyStatistics

Abstract

fetched live from OpenAlex

The gauged U (1) Lµ-Lτ extension of the Standard Model is a very simple framework that can alleviate the discrepancy in the anomalous magnetic dipole moment of the muon, reinforced by the recent Fermilab measurement.In this thesis, we introduce a dark matter (DM) candidate to the theory and proceed to study experimental probes of the model's parameter space with a general treatment of kinetic mixing between the Z ′ gauge boson of the U (1) Lµ-Lτ symmetry and the Standard Model photon.The physical value of the total kinetic mixing depends on a free parameter of the model and the energy scale of a given process.Specifically, after addressing the (g -2) µ anomaly with the Z ′ boson, L µ -L τ charged dark matter with a thermal origin is explored, where we demonstrate that existing DM direct detection constraints are sensitive to the freedom in the kinetic mixing and can be substantially weakened if the total mixing parameter approaches zero in the low momentum transfer limit.Furthermore, we show for the same kinetic mixing scenario that this model predicts a novel recoil energy spectrum in future direct detection experiments.Finally, the effects of a general treatment of kinetic mixing on neutrino probes of the parameter space of the Z ′ are quantified.We find that constraints derived from the Borexino experiment (measuring solar electron-neutrino scattering), several experiments (both current and future) that study the process of coherent elastic neutrino nucleus scattering (CEνNS), and white dwarf cooling, are collectively not strong enough to rule out the region of the U (1) Lµ-Lτ parameter space that alleviates the (g -2) µ tension.This is a positive result, since the avoidance of these constraints allows for a simultaneous explanation of both DM and the muon (g -2) µ anomaly in this model.The joint efforts of future neutrino and DM experiments along with precision spectral measurement will be the key in testing such a theory.i 6.10 Current and future reach (upper bound) on g µτ from neutrino experiments, including Borexino and white dwarfs (first row) and the CEνNS experiments (second row).In addition to the future CEνVS experiments depicted here, the proposed PIP-II linac at Fermilab expects to probe the Z ′ parameter space region favoured by (g -2) µ through this interaction channel [116].The dashed curves correspond to the kinetic mixing scenario with ε UV = 0, and the solid curves correspond to the kinetic mixing scenario with ε IR = 0 which are much weaker. . . . . .

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 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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.023
GPT teacher head0.293
Teacher spread0.269 · 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
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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