Non-Linear and Linear Optical Properties of an Organic Laser Dye Mixture
Bibliographic record
Abstract
The present research includes studying the optical linear and nonlinear characteristics of two organic laser dyes: Nile Blue (NB), Malachite Green (MG) and their mixture at room temperature, a mixture proportions involving organic laser dye concentrations (2×10 -5 , 4×10 -5 , 6×10 -5 , 8×10 -5 ) M in chloroform solvent was analyzed.Every produced sample has had its linear optical characteristics examined.Next, the UV-VIS spectra of various dye concentrations dissolved in absolute chloroform solvent have been examined.Finally, the absorption spectra of every sample have been examined.The results demonstrated that at the same wavelength, absorbance rose along with concentrations.The Z-scan technology was utilized to compute the nonlinear absorption coefficient (β) and nonlinear refractive index (n2) for the produced samples in both open and closed aperture settings.The experiments were carried out using a solid-state laser with a diode pump that runs at 457 nm in wavelength and power of (84 mW).The results showed increasing of the nonlinear refractive index while declining nonlinear absorption coefficient for all organic laser dye samples at higher concentrations.Dyes mixture have large optical characteristics, both linear and nonlinear, in comparison to pure dyes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".