Modeling Temperature-Dependent Phase Mismatch in KTP Crystal: An Open-Source Computational Toolkit
Bibliographic record
Abstract
We present an open-source toolkit for modeling thermally induced phase mismatching (TIPM) in KTP under repetitively pulsed Gaussian pumping, where refractive indices change with temperature rise. The code solves the heat equation with temperature-dependent thermal conductivity and realistic cooling via conduction, convection, and radiation. It then computes the phase mismatch using experimental thermal-dispersion relations of KTP in a type-II configuration, takes Gaussian spatial and temporal pump profiles as inputs, and returns spatiotemporal temperature fields along with TIPM evolution versus pulse number. The toolkit consolidates a previously published numerical procedure into a versioned implementation that faithfully reproduces the accumulative temperature behavior and reverse-sign TIPM as pulses increase. The implementation also reproduces the fluctuations in temperature and TIPM attributed to the off-time between successive pulses and runs efficiently on personal computers as reported in the original study. The toolkit is available as an open-source GitHub repository and is released under the MIT license as version v1.0.1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.002 |
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; both teacher heads agree on what is shown here.
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".