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Record W4387739171 · doi:10.1051/epjconf/202328701019

Beam steering experiments through an optical phased array with wavelength tuning

2023· article· en· W4387739171 on OpenAlexaff
Sidra Tul Muntaha, Ari Hokkanen, Mikko Harjanne, Matteo Cherchi, M. Roussey, Timo Aalto

Bibliographic record

VenueEPJ Web of Conferences · 2023
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsXanadu Quantum Technologies (Canada)
FundersBusiness Finland
KeywordsBeam steeringPhased-array opticsCollimated lightOpticsPhased arrayBeam (structure)WavelengthBeam parameter productPhysicsLens (geology)MillimeterLaser beam qualityMaterials scienceLaserOptoelectronicsLaser beamsEngineeringElectrical engineeringAntenna (radio)

Abstract

fetched live from OpenAlex

In this paper, we have demonstrated the beam steering experiments with the help of our optical phased array devices. The lateral beam steering has been showed successfully with the wavelength through the tunable laser source. The number of output channels were 512 and the array width was kept more than a millimeter with a 2-µm pitch. The beam steering angle has been measured as 45° and the beam movement was 1°/nm. As the chip does not collimate the beam vertically, so, a commercial collimating lens has been used in the vertical direction.

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 categoriesnone
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 score0.136
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.276
Teacher spread0.240 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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