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Record W7071526587

Tm3+:ZBLAN fiber lasers and their applications for spectroscopy

2014· dissertation· en· W7071526587 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typedissertation
Languageen
FieldEngineering
TopicPhotonic Crystal and Fiber Optics
Canadian institutionsMcGill University
Fundersnot available
KeywordsFiber laserLaserZBLANLaser power scalingSlope efficiencyPolarization controllerTunable laserPolarization-maintaining optical fiberDistributed feedback laserDispersion-shifted fiber
DOInot available

Abstract

fetched live from OpenAlex

Thulium ions (Tm3+) provide an effective means for developing fiber lasers at a wide range of wavelengths. Additionally, the extended transmission window of ZBLAN glass allows for operation well into the mid-infrared range. This thesis presents the design of several single and multi-wavelength Tm3+:ZBLAN fiber lasers.First, an optimized laser cavity operating around 1480 nm is designed by measuring several different cavity configurations and lengths of gain fiber. Using a 34 cm length of gain fiber and a 4% Fresnel air reflection as the output mirror/coupler, 32% conversion efficiency is obtained, with a threshold pump power of 400 mW and a maximum output power around 400 mW.Next, a dual-band Tm3+:ZBLAN fiber laser is designed, emitting simultaneously around 810 nm through the 3H4 ïƒ 3H6 transition and around 1480 nm through the 3H4 ïƒ 3F4 transition. This is the first demonstration of a fiber laser which uses the same piece of gain fiber for two different transitions which share the same upper energy level (3H4 in this case). Simultaneous emission at both laser wavelengths with 20% slope efficiencies is obtained.Finally, a three-wavelength Tm3+:ZBLAN fiber laser emitting at 1460/1503/1873 nm is designed using two independent gain branches. Simultaneous operation at all three wavelengths is obtained, with approximately 10 mW output power at each wavelength. The peak fluctuations are stable within 1.5 dB. Wavelength switching through a polarization controller is also demonstrated in the 1460/1503 laser branch. The laser was then used in single-pass absorption measurements for detecting water in acetone. Molar absoprtivities within 10-20% of the theoretical values are obtained from the absorption measured at each individual wavelength.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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