De la baryogénèse électrofaible et de l'effet du plasma environnant sur l'asymétrie baryonique de l'univers
Bibliographic record
Abstract
We study the effect of the thermal background on the mechanism of electroweak baryogenesis. Firstly, we model the effect of collisions by solving the Schrodinger equation in presence of a potential representing the bubble of phase transition of the Higgs field and a series of delta functions simulating the collisions amongst the particles. We validate this technique in chapter 2 by comparing it to the results obtained by application of the Born approximation. Later, we apply this "delta functions recurency technique" to the case of relativistic particles by solving the Dirac equation in the precense of similar potentials. In the second part of this thesis, we attempt to model the interaction by a totally distinct formalism that incorporates the effect of the exchange of momentum during a collision between the particles of the thermal background. To this end, we begin by describing a preexisting method for predicting the evolution of the density matrix of a system subjected to an interaction. Then we expend it in order to model the effect of the thermal background on baryogenesis. Lastly, we apply the "density matrix formalism" to the case of relativistic particles.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".