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Record W4282935137 · doi:10.21203/rs.3.rs-1726506/v1

Observation of interband Berry phase in laser driven crystals

2022· preprint· en· W4282935137 on OpenAlexaff
Ayelet J. Uzan-Narovlansky, Lior Faeyrman, Sergei Shames, Vladimir Narovlansky, Jiewen Xiao, Talya Arusi-Parpar, Omer Kneller, Barry D. Bruner, Olga Smirnova, Rui E. F. Silva, Binghai Yan, Alvaro Jimenez-Galan, Misha Ivanov, Nirit Dudovich

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicPhotorefractive and Nonlinear Optics
Canadian institutionsJoint Attosecond Science Laboratory
FundersDeutsche ForschungsgemeinschaftMinerva FoundationFundación Bancaria Caixa d'Estalvis i Pensions de BarcelonaEuropean Commission
KeywordsGeometric phasePhase (matter)PhysicsHarmonicsCoherence (philosophical gambling strategy)InterferometryQuantumVariety (cybernetics)Field (mathematics)Wave functionLaserObservableTheoretical physicsQuantum mechanicsTopology (electrical circuits)Mathematics

Abstract

fetched live from OpenAlex

Abstract Ever since its discovery, the notion of Berry phase has permeated through all branches of physics, being at the heart of a large variety of quantum phenomena. However, so far all its realizations were based on a continuous evolution of the quantum state, following a cyclic path. Here, we introduce and demonstrate a conceptually new manifestation of the Berry phase in light driven crystals, where the electronic wavefunction accumulates a geometric phase during discrete evolution between different bands, while preserving the coherence of the process. We experimentally demonstrate this phase by using a strong laser field to engineer an internal interferometer, induced during less than one cycle of the driving field, which maps the phase onto the emission of high order harmonics. Our work opens a new branch in the study of geometric phases, leading to a variety of new observations in light driven topological phenomena and attosecond solid state physics.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.102
GPT teacher head0.440
Teacher spread0.338 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

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