Intensity-varied interferometric autocorrelations for characterisations of optical nonlinearity
Bibliographic record
Abstract
Abstract In this work, we present the theoretical framework and experimental setup for intensity-varied interferometric autocorrelations. This is done to resolve the manifestations of multiphoton absorption and saturation, while avoiding the complexities of analogous techniques. Our system is demonstrated with the standardised wavelength of 1550 nm, at the centre of the optical communication band, and a conventional silicon photodiode, whose bandstructure allows for multiple pathways for multiphoton absorption. With this system, we see the silicon exhibit negligible one-photon absorption, strong two-photon absorption for intensities up to 160 GW cm −2 , strong three-photon absorption for intensities between 160 and 350 GW cm −2 , and saturation for intensities above 350 GW cm −2 . Ultimately, such results suggest that the proposed theoretical framework and experimental setup are effective tools for nonlinear characterisations of multiphoton absorption and saturation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".