The new KADoNiS v1.0 and its influence on the s-process
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
and is presently available for testing at HTTP://EXP-ASTRO.PHYSIK.UNI-FRANKFURT.DE/KADONIS1.0/. All available datasets between 1 H and 210 Bi and their energy dependence for kT = 5 -100 keV have been reviewed, updated, and evaluated. The main difference to previous releases of KADoNiS is the intensive work that has been put in the inclusion of new experimental energy-dependent cross sections which should make the extrapolations to higher and lower energies more reliable. Also a revision of the 197 Au(n, ) cross section has been applied which is widely used as reference cross section for time-of-flight and activation measurements. Several recent measurements in the astrophysical energy range have led to a new recommended value used throughout KADoNiS v1.0 which is 3-5.4% higher than the previously adopted value. Datasets for the up to now missing light stable isotopes 6 Li, 10,11 B, and 17 O were added and recommendations based on experimental data given. The total number of datasets in the KADoNiS database increased from 370 to more than 440 which is mainly due to the inclusion of radioactive isotopes 1-2 mass units away from stability. Although no measurements are available for these cases, they play an important role in modern s-process calculations with higher neutron densities. To be able to use a consistent database for s-process simulations it was decided to include these isotopes in the new update and calculate semi-empirical recommended cross sections. In this update also indirect measurements, namely (,n) measurements complemented by Hauser-Feshbach predictions with constrained input, have been included which yielded new (n,) recommended values for e.g. the branchings at 85 Kr, 185 W, and 186 Re. For other branching isotopes, e.g. 63 Ni, first direct experimental time-of-flight data yielded a factor of 2 higher cross section compared to the previously used theoretical prediction. The influences of the changes of the new (n,) cross sections on the weak s-process have been investigated. Whereas the differences after core He burning are within 20%, the impact of the new set of MACS on the s-process abundance distribution is much larger at the end of the shell C burning which leads to a "weaker" s-process efficiency.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it