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Photoelectron angular distributions of H<sup>+</sup><sub>2</sub>and HHe<sup>2+</sup>by intense circularly polarized extreme ultraviolet laser pulses

2012· article· en· W2072437794 on OpenAlexafffund
Kai‐Jun Yuan, André D. Bandrauk

Bibliographic record

VenueJournal of Physics B Atomic Molecular and Optical Physics · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsUniversité de Sherbrooke
FundersCompute Canada
KeywordsPhysicsUltravioletAtomic physicsExtreme ultravioletLaserUltraviolet radiationOptics

Abstract

fetched live from OpenAlex

We present photoionization angular distributions of oriented symmetric (H + ) and asymmetric (HHe 2+ ) molecular ions from numerical solutions of two dimensionally reduced time-dependent Schr¨ odinger equations as a function of ionized electron kinetic energies with intense circularly polarized attosecond extreme ultraviolet laser pulses. Simulations for the equilibrium H + show that for single-photon ionization, relative intensities of parallel and perpendicular (to the molecular axis) photoionizations are critically sensitive to laser and photoelectron wavelengths due to ionization rates strongly depending on molecular geometry. Photoionization angular distributions are rotated to particular angles indicating high-order angular momenta and strong molecular potential effects. High-energy Ee spectra show effects of laser-induced electron diffraction (LIED) as the ionized electron wavelengths approach the internuclear distance. For HHe 2+ , such laser parameter sensitivity is reduced due to strong localization of the electron on one atom, but strong asymmetric LIED patterns are obtained. Angular distributions for both H + and HHe 2+ are also shown to be dependent on laser-pulse ellipticity and photoelectron energies. (Some figures may appear in colour only in the online journal)

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.230
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2012
Admission routes2
Has abstractyes

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