Evidence map›Paper›PMID 39858693›Full record

ArticleMicromachines2024

Beam Tilt Aberration Detection of the Seven-Unit Phased Fiber Laser Array.

Xin Yu, Xingyue Wang, Jing Liang, Cai Liu, Xiaolong Ni, Suping Bai, Jiasu Li, Zeping Liu, Lijie Hou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xin YuSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Xingyue WangSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Jing LiangRailway Locomotive and Rolling Stock Faculty, Jilin Railway Technology College, Jilin 132299, China.
Cai LiuSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Xiaolong NiSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Suping BaiSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Jiasu LiSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Zeping LiuSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Lijie HouSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.

Funding

Department of Science and Technology, Jilin Province 20210201139GXDepartment of Science and Technology, Jilin Province 20210401143YYNational Natural Science Foundation of China under Grant 62205032Youth Fund of Changchun University of Science and Technology XQNJJ-2019-01
6 · The paper itself

Abstract

In this paper, we present a method based on the conjugate image principle and micro-nano optics to detect tilt aberrations of a phased fiber laser array system. A co-aperture optics system was adapted to detect the tilt aberrations of a seven-element phased fiber laser array system simultaneously. A Kepler telescope was designed to construct the conjugate relation between the exit pupil of a fiber optic laser array system and a microlens array and also to match the size of the seven beams and the microlens array. The apochromatic theory was used to meet the multispectral (1064 ± 0.3 nm, 1030 ± 0.3 nm, and 633 ± 0.2 nm) detection needs. A far-field detection unit was also designed to evaluate beam quality. When the actual beam was offset by 1 pixel, the beam tilt was about 0.7 µrad. The maximum detection error of the seven-element system was about 7 µrad. It could not only directly detect the beam's tilt angle but also maintained detection accuracy while reducing the algorithm complexity.

Indexed as

aberration detectionadaptive opticslaser

Identifiers

PMID39858693
PMCPMC11767342

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.