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Record W2047818323 · doi:10.1139/p02-070

Quantized form of electronnucleus interaction in laser fields

2002· article· en· W2047818323 on OpenAlexvenueno aff
Peter G. Kalman, Tamás Bükki

Bibliographic record

VenueCanadian Journal of Physics · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsLaserElectromagnetic fieldElectronPhotonQuantum mechanicsQuantum electrodynamicsQuantization (signal processing)NucleusAtomic physicsClassical mechanics

Abstract

fetched live from OpenAlex

A general formalism for the treatment of electron–nucleus laser-combined processes is presented in a quantized manner. The laser is described by a coherent state in one mode of the quantized electromagnetic field. The system is composed of one electron and A nucleons and it is handled with A + 1 particle quantum mechanics. As a first step, the coherent state is transformed into the vacuum state, while a classical external field corresponding to the laser field arises. The interaction with the laser beam is taken into account by transforming the system into an oscillating frame, called Henneberger picture, while the electron–nucleus electromagnetic interaction is handled as photon exchange via quantized electromagnetic field and in the second order of perturbation theory. A general expression for the transition probability per unit time is given in the l photonic case.PACS Nos.: 23.20Nx, 32.80Wr

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.017
GPT teacher head0.247
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2002
Admission routes1
Has abstractyes

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