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Record W7054806232

Baryon number violating neutron decays to dark matter via the emission of a π 0 meson, η meson or photon

2024· other· en· W7054806232 on OpenAlexaff

Bibliographic record

VenueLund University Publications Student Papers (Lund University) · 2024
Typeother
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsMesonBaryonNeutronPhotonInvariant massPhysics beyond the Standard ModelAsymmetryStandard Model (mathematical formulation)
DOInot available

Abstract

fetched live from OpenAlex

The existence of a baryon number violating process is one of Shakarov's conditions to explain the observed baryon asymmetry in the universe. The Standard Model is nearly symmetric with respect to the baryon number, and hence we are motivated to look for physics beyond the Standard Model. In this thesis, we consider an effective field theory operator that couples the neutron to a proposed dark fermion $X$, leading to decay channels containing mesons and photons. The unpolarized width for these decays is computed analytically. The model is subsequently implemented in \verb|CalcHEP| via the definition of a new effective vertex. This allows for a Monte Carlo simulation of the three-body decay n → X + γγ, where the off-shell meson decays into a pair of photons. The narrow width of the mesons is seen in the invariant mass reconstruction of the photons in this channel. The case of a small mass gap between the neutron and the decay products is considered, where these channels are kinematically forbidden for bound neutrons in stable nuclei. We conclude that the analyzed decays are less experimentally constrainted for free neutrons, and argue that searches for exotic neutron decays with a small mass gap could take place at the upcoming HIBEAM and NNBAR experiments at the European Spallation Source.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.235
Teacher spread0.223 · 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 designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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Same venueLund University Publications Student Papers (Lund University)Same topicThermal properties of materialsFrench-language works237,207