Comparative insights into gluon and proton structure through parton distribution functions
Bibliographic record
Abstract
Study of parton distribution functions (PDFs) has led to a finer cognizance of the structure of partons in hadrons and the proton structure functions in deep inelastic scattering. PDFs are instrumental in predicting results for most of the hard-scattering processes measured at the Large Hadron Collider. However, due to the nonperturbative nature of partons, calculation of parton distributions using perturbative Quantum Chromodynamics cannot be done. The analysis of PDFs, therefore, needs a relentless effort. In this paper, we study a comparative approach of three global PDF sets, viz., CT14, MMHT2014, and NNPDF 4.0. Gluon distribution functions and proton structure functions have been evaluated in a wide range of momentum fraction x and energy scale Q , and plausible observations have been made.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".