Determination of the neutron-capture rate of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi mathvariant="normal">C</mml:mi><mml:mprescripts/><mml:none/><mml:mn>17</mml:mn></mml:mmultiscripts></mml:math> for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>r</mml:mi></mml:math>-process nucleosynthesis
Bibliographic record
Abstract
With the $R^{3}\mathrm{B}$-LAND setup at GSI we have measured exclusive relative-energy spectra of the Coulomb dissociation of $^{18}\mathrm{C}$ at a projectile energy around $425A$ MeV on a lead target, which are needed to determine the radiative neutron-capture cross sections of $^{17}\mathrm{C}$ into the ground state of $^{18}\mathrm{C}$. Those data have been used to constrain theoretical calculations for transitions populating excited states in $^{18}\mathrm{C}$. This allowed to derive the astrophysical cross section ${\ensuremath{\sigma}}_{n\ensuremath{\gamma}}^{*}$ accounting for the thermal population of $^{17}\mathrm{C}$ target states in astrophysical scenarios. The experimentally verified capture rate is significantly lower than those of previously obtained Hauser-Feshbach estimations at temperatures ${T}_{9}\ensuremath{\le}1$ GK. Network simulations with updated neutron-capture rates and hydrodynamics according to the neutrino-driven wind model as well as the neutron-star merger scenario reveal no pronounced influence of neutron capture of $^{17}\mathrm{C}$ on the production of second- and third-peak elements in contrast to earlier sensitivity studies.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".