Observations of the ultraviolet and x-ray brightness profiles and cooling rates of Kr and Ar in magnetically confined fusion plasmas
Bibliographic record
Abstract
The spatial brightness profiles of Ar and Kr ions have been measured during a set of experiments in which these gases were puffed into FTU (Frascati Tokamak Upgrade) and Alcator C-Mod tokamak plasmas. These profiles were measured by spatially scanning photometrically calibrated vuv and x-ray spectrometers covering 3 to 1700 \AA{} on a shot to shot basis. Several simulations of these profiles were performed using the multiple ionization state transport (MIST) code to validate the atomic physics rates used to determine the charge state distribution in the plasmas. A comparison of two sets of atomic physics rates was made. The chosen rates were the original rates in MIST and the more accurate ionization/recombination rate coefficients from the HULLAC atomic code and the current compilations by Mazzotta. The simulations with the more accurate rates could correctly predict the brightness profiles. The simulations with the older rates adequately predicted the Ar brightness profiles but did not accurately predict those of Kr. The inclusion of the excitation autoionization rates which were absent from the MIST code had the most profound effect on the simulated charge state distributions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".