Main parameters of SppC-based “linac-ring <i>eA</i>” and “ring-ring <i>µA</i>” colliders
Bibliographic record
Abstract
Concerning future lepton-nucleus colliders, International Linear Collider (ILC) and Plasma Wake Field Accelerator-Linear Collider (PWFA-LC) electrons in the order of 0.5 TeV and 5 TeV, respectively, colliding with Super proton–proton Collider (SppC)’s lead ions, are considered as “linac-ring eA” options. In addition, the 1.5 TeV option of the Muon Collider (MC) vs. 208Pb82+ ions of the SppC is also taken into account as a “ring-ring µA” collider. Luminosity values of the SppC-based eA and µA colliders are estimated. 3075 TeV lead parameters for the 100 km-circumference option of the SppC are taken into account to optimize luminosities of electron–nucleus and muon–nucleus collisions, keeping beam–beam effects and disruption in mind. It is shown that luminosities around 1030 cm−2 s−1 and 1032 cm−2 s−1 for eA and µA colliders, respectively, can be achieved by moderate upgrades of lepton and nucleus beam parameters.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.007 | 0.002 |
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".