B-physics potential of the ATLAS experiment and performance of the ATLAS Transition Radiation Tracker
Bibliographic record
Abstract
The ATLAS experiment is one of the four experiments at the Large Hadron Collider (LHC), which is supposed to be operational in early 2007. Proton-proton collisions at an unprecedented center-of-mass energy of 14 TeV will probe new frontiers of the universe, hopefully providing a better understanding of the laws governing our universe. Although the ATLAS detector has been optimized to search for the Higgs boson within the full expected mass range and other new particles, it is well adapted to cover a wide range of B-physics topics. The determination of the angles of the Unitarity Triangle, and measurements of CP violation are also a key point for a full and coherent understanding of the fundamental forces governing the universe. Intriguing particles, such as the $ m{B_{c}}$ meson, provide a very interesting case to study the interplay of strong and weak interactions, a key problem in the theoretical analysis of the weak decays of hadrons. The Transition Radiation Tracker (TRT) is a combined straw drift tube and transition radiation detector. It provides a combination of continuous tracking with many projective measurements based on individual drift tubes and of a powerful electron identification based on radiator fibers or foils interleaved with the straws. An extensive program of tests undertaken on several small scale prototypes has shown a good and satisfactory performance.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.009 |
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".