Evidence map›Paper›PMID 29391570›Full record

ArticleScientific reports2018

Flexible spectral manipulation property of a high power linearly polarized random fiber laser.

Jun Ye, Jiangming Xu, Jiaxin Song, Hanshuo Wu, Hanwei Zhang, Jian Wu, Pu Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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
–field-weighted citation impact
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

7 authors.

Jun YeCollege of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China.ORCID http://orcid.org/0000-0002-4590-9707
Jiangming XuCollege of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China.
Jiaxin SongCollege of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China.
Hanshuo WuCollege of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China.
Hanwei ZhangCollege of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China.
Jian WuCollege of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China.
Pu ZhouCollege of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China. zhoupu203@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fiber lasers with flexible spectral manipulation property could provide a flexible tool for scenes where the temporal coherence property accounts, for example, coherent sensing/communication and nonlinear frequency conversion. Due to the good laser performance and relative simplicity of implementation, random fiber lasers (RFLs) based on random distributed feedback and Raman gain have earned more and more attention in the past few years, and a variety of RFLs with substantially different spectral properties have been developed. In this presentation, we demonstrate a high power linearly polarized RFL with flexible spectral manipulation property, in which the central wavelength and the linewidth of the spectrum can be tuned independently through a bandwidth-adjustable tunable optical filter (BA-TOF). The central wavelength of the RFL can be continuously tuned from 1095 to 1115 nm, while the full width at half-maximum (FWHM) linewidth has a maximal tuning range from ~0.6 to more than 2 nm. Moreover, the output power of 1102.5-1112.5 nm reaches ~23 W with polarization extinction ratio (PER) value > 20 dB. To the best of our knowledge, this is the first demonstration of a powerful linearly polarized RFL with both wavelength and linewidth tunability.

Identifiers

PMID29391570
PMCPMC5795014

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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.