Performance of UFO and LC Topo jet collections for the VBF di-Higgs production in the HH → bbbb channel in terms of response scale and resolution.
Bibliographic record
Abstract
For performance comparison, scale and resolution graphs were created for the mass and energy response of large-radius jets reconstructed from Unified Flow Objects (UFOs) and jets reconstructed only from calorimeter topological clusters (referred to as LC Topo jets) using the SoftDrop and Trimmed groomed truth jet collections, respectively. The analysis was performed on two Monte Carlo simulated data samples based on LHC Run-2 conditions. One of these samples only considered the non-resonant standard model processes for vector boson fusion di-Higgs production, while the other solely contained the resonant process for a graviton decaying to two Higgs bosons. The analysis focused on the di-Higgs to 4b quarks channel exclusively. As a result for both samples, the mass scale showed a good closure of 2% for both jet collections, except at low pT, and the mass resolution was either comparable between the two jet types or the UFO jet collection had a better performance, which is in line with expectations. The energy scale had a good closure of 2-3% and the energy resolution was better for the LC Topo jet collection, as expected due to the LCW calibration.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".