Jet Comparison, Trigger, and Sensitivity Studies of Dark Sector Emerging Jet MC Models
Bibliographic record
Abstract
Analysis work is presented as part of an ongoing search for Emerging Jet (EJ) signals within the ATLAS detector at the Large Hadron Collider.These EJ signals arise in models with a hidden valley, QCD-like dark sector, which is linked to the Standard Model (SM) sector via a dark mediator particle, X d , with a mass on the order of a TeV.These X d particles are pair-produced during proton-proton collisions and each quickly decays into a SM quark and a dark quark.These dark quarks hadronize into long-lived dark hadrons.Dark pions are of primary interest and decay back into SM particles with a mean decay length ranging between cτ πd = 0.5mm and 300mm, causing a jet to emerge within the detector.These EJs I would like to thank my supervisor, Jesse Heilman, for your guidance and excellent explanations of physics and ATLAS related topics, which always left me inspired to learn more.A huge thanks to Kevin Graham and Mohsen Naseri as well, for your many hours of guidance, insight, and feedback.
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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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".