Diffractive dissociation of protons in 7 TeV collisions at the ATLAS detector
Bibliographic record
Abstract
A data sample with integrated luminosity 7.1 inverse microbarns of pp collisions was collected with a minimum bias trigger at a centre of mass energy of 7 TeV using the ATLAS detector at the Large Hadron Collider. It is analysed to identify large pseudorapidity gaps. The inelastic cross section is presented differentially in Delta eta F, the largest continuous region of pseudorapidity which extends from the edge of the detector at eta= plus or minus 4.9 and which contains no final state particles above a threshold pT cut. The measurement is presented in the region 0 < Delta eta F < 8 for 200 < pT cut< 800 MeV. Diffractive topologies are isolated at large gap sizes. The distribution is interpreted using triple Regge models of diffractive scattering, and the dependence of the inelastic cross section on the kinematics of diffraction is studied and compared with other LHC measurements.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".