Mass Measurements of Proton-Rich Isotopes in the Vicinity of 92Ru and 93Rh for 'nu'p-process Models
Bibliographic record
Abstract
One of the long-standing questions in our understanding of the origin of the elements is the significant underproduction of light-p nuclei such as 92 Mo and 94 Mo by models of nucleosynthesis in various astrophysical scenarios.The recently proposed ν p-process [1], which occurs due to the interaction of the neutrino wind with the proton-rich ejecta of core collapse supernova explosions, is a process which could resolve the underproduction of 92 Mo and 94 Mo.The final abundances of these two isotopes as well as any others synthesized by the ν p-process depend directly on the values of the proton separation energies, S p , along the ν p-process reaction path; the S p value of 93 Rh is thought to be especially critical to the relative production of 92 Mo and 94 Mo [2].Due to the absence of mass measurements in this region S p ( 93 Rh) and many of the other required S p values were not well known.Recent mass measurements performed with the Canadian Penning Trap mass spectrometer have reduced uncertainties in the S p values of many of the proton-rich nuclei between Mo and Pd including S p ( 93 Rh) by factors of as much as 60.These measurements and the resulting implications for both the ν p-process path and the 92 Mo/ 94 Mo abundance ratio will be discussed.10th Symposium on Nuclei in the Cosmos July 27 -August 1 2008 Mackinac Island, Michigan, USA
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".