Investigating Xenon Aggregates Irradiated by Intense Attosecond Laser Pulses
Bibliographic record
Abstract
Ultra-short and intense laser interactions with noble gas are used for accelerating or generating different particles such as electrons, protons or X-rays.Few works have addressed gases, particularly Xenon (Xe).Nevertheless, the analysis of attosecond electron pulses remains a major challenge.Thus, we study clusters of Xe, which leads to high excitation energy.To do this, we adopted the nanoplasma model.Thereby, we simulate the emission electron beam generated by laser absorption to optimize the electron energy and develop ultra-short pulse dense for the development of better detectors capable of resolving higher photon numbers and heat source length.From the simulation results, we found an important production of electrons, proportionally to the number of aggregates under the short and intense laser.In the first ionization, the minimum estimated energy absorbed agrees with the theory.These results enable real progress in different areas, for example, research in physics and chemistry, communication technology, surgery and medical treatment.
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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 | 0.000 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".