Superinelastic Electron Transfer: Electron Trapping in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mi>O</mml:mi></mml:math>Ice via the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mi>N</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>−</mml:mo></mml:mrow></mml:msubsup></mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Π</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="italic">g</mml:mi></mml:mrow><mml:mrow/><mml:mrow/><mml:mrow/><mml:mprescripts/><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow/><mml:mrow/></mml:mmultiscripts></mml:mrow><mml:mo>)</mml:mo></mml:math>Resonance
Bibliographic record
Abstract
We present measurements on the trapping of 0--3 eV electrons in ${\mathrm{H}}_{2}\mathrm{O}$ ice films covered with a submonolayer of ${\mathrm{N}}_{2}$ molecules. At the energy of the ${\mathrm{N}}_{2}^{\ensuremath{-}}{(}^{2}{\ensuremath{\Pi}}_{g})$ shape resonance, the absolute cross section for electron trapping in ice is $\ensuremath{\sim}5.5\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}16}{\mathrm{cm}}^{2}$, similar to that for vibrational excitations of gaseous ${\mathrm{N}}_{2}$ via the resonance. This result, indicating that nearly all electrons from autoionization of ${\mathrm{N}}_{2}^{\ensuremath{-}}{(}^{2}{\ensuremath{\Pi}}_{g})$ are transferred to electron traps in ice, is explained by superinelastic electron transfer from ${\mathrm{N}}_{2}^{\ensuremath{-}}{(}^{2}{\ensuremath{\Pi}}_{g})$ into preexisting traps in polar ice, leaving ${\mathrm{N}}_{2}$ in high vibrational excited states.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.168 | 0.047 |
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".