Single and multiple electron removal processes in proton–water-molecule collisions
Bibliographic record
Abstract
Charge-state correlated cross sections for single- and multiple-electron removal processes (capture and ionization) in proton-H${}_{2}$O collisions are calculated by using the nonperturbative basis generator method adapted for ion-molecule collisions [Phys. Rev. A 80, 060702(R) (2009)]. The results are compared with experimental data for a wide range of impact energies spanning from 20 keV to several MeV. Single-electron removal probabilities in each molecular orbital are evaluated using the inclusive-probability formalism to predict the yields of charged fragments (H${}_{2}$O${}^{+}$, OH${}^{+}$, H${}^{+}$, O${}^{+}$) according to branching ratios that are valid at high impact energies. At intermediate and low energies, we calculate improved fragmentation cross sections that include the effects of multiple-electron removal processes. The resulting fragmentation yields agree with experiments at the 20$%$--30$%$ level even below 100 keV impact energy.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".