PyMieSim: an open-source library for fast and flexible far-field Mie scattering simulations
Why this work is in the frame
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Bibliographic record
Abstract
Mie scattering simulations are essential to designing sensing and imaging devices for atmospheric and biomedical sciences applications. Current simulators based on Lorenz-Mie theory allow obtaining scattering phase functions for several scatterer geometries. Still, they are not optimized for simulating ranging parameters and do not compute coupling powers into coherent or incoherent detectors. Here, we present PyMieSim: a Python interface wrapping a C++ parallelized core for a fast, flexible, and highly visual simulation package, allowing for the study of ranges of parameters for different source, scatterer, and detector configurations. We demonstrate two applications: flow-cytometry geometry optimization and few-mode optical coherence tomography contrast analysis.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it