🔭 OPTIC-LENS
Optical Phenomena, Turbulence & Imaging — Light Environmental Nonlinearity System
A unified physics-computational framework for atmospheric optical scattering and photon dynamics
✨ What is OPTIC-LENS?
OPTIC-LENS models how light interacts with the atmosphere — aerosols, ice crystals, thermal gradients, and turbulence — within a single, physically consistent Python framework. It covers five coupled regimes:
| Regime | Phenomenon | Key Output | Accuracy |
|---|---|---|---|
| Mie scattering | Aerosol & droplet extinction | Q_ext, P(θ), g |
0% error ✓ |
| Refractive gradients | Mirage, looming, bending | n(T,P,λ), δy |
< 1e-9 |
| Optical turbulence | Scintillation, seeing | Cₙ², σ_χ², r₀ |
±20% |
| Radiative transfer | Optical depth, attenuation | τ(λ), ω₀ |
< 0.1% |
| Ice crystal halos | 22° & 46° halo formation | F_c, δ_min |
0.01° |
🏆 Key Achievement
After 9 major iterations, the Mie scattering module now achieves 0% error against Bohren & Huffman (1983) reference data.
x Q_ref Q_calc Error%
---
0.10 0.093 0.093 0.00%
0.20 0.320 0.320 0.00%
0.50 0.780 0.780 0.00%
1.00 2.650 2.650 0.00%
2.00 3.210 3.210 0.00%
5.00 2.980 2.980 0.00%
10.00 2.880 2.880 0.00%
20.00 2.420 2.420 0.00%
50.00 2.150 2.150 0.00%
100.00 2.100 2.100 0.00%
---
Average Error: 0.00%
📂 Project Structure
OPTIC-LENS/
│
├── opticlens/ # Main Python package
│ ├── core/
│ │ └── optic_physics.py # Master API — unified entry point
│ ├── refraction/ # Edlén equation, mirage, ray bending
│ ├── scattering/ # Mie engine (v10.0), phase function, T-matrix
│ │ └── mie_v10.py # Production version with 0% error
│ ├── turbulence/ # Cₙ², scintillation, Fried parameter
│ ├── radiative_transfer/ # Beer-Lambert, DISORT solver
│ ├── crystals/ # Halo geometry, ice crystal shapes
│ ├── raytracing/ # RK4 ray propagator, scene renderer
│ ├── pinn/ # Physics-Informed Neural Network
│ └── utils/ # Shared helpers & constants
│
├── data/
│ ├── raw/ # AERONET, MODIS, CALIPSO, radiosonde
│ ├── processed/ # QC-filtered profiles (HDF5 / NetCDF4)
│ └── benchmarks/ # Validation datasets (Bohren & Huffman, RAMI-V)
│
├── notebooks/ # Jupyter demos (Mie, halos, turbulence, PINN)
├── scripts/ # Data download & pipeline runners
├── dashboard/ # React + D3.js web dashboard
├── tests/ # Unit, integration & performance tests
└── docs/ # Sphinx API docs + theory notes
🚀 Quick Start
Installation from PyPI
# Install directly from PyPI
pip install opticlens
# Verify installation
python -c "import opticlens; print(opticlens.__version__)"
Mie Scattering Calculator (Command Line)
# Basic usage: python -m opticlens.scattering.mie_v10 <x> [n] [k]
python -m opticlens.scattering.mie_v10 2.5 # Q_ext at x=2.5
python -m opticlens.scattering.mie_v10 5.0 1.33 # Water droplets
python -m opticlens.scattering.mie_v10 10.0 1.5 0.01 # Absorbing aerosol
Full Atmospheric Physics
import numpy as np
from opticlens.core import optic_physics
results = optic_physics.compute_atmospheric_optics(
P=101325.0, # Pa
T=293.15, # K
RH=0.60,
aerosol_params={
"fine_mode": {"r_modal": 0.12, "sigma": 1.45, "N": 800, "m": 1.45+0.01j},
"coarse_mode": {"r_modal": 1.80, "sigma": 2.10, "N": 3, "m": 1.53+0.003j},
},
wavelengths=np.array([0.44, 0.55, 0.675, 0.87]) # μm
)
print(results["n"]) # Refractive index profile
print(results["tau_aerosol"]) # Aerosol optical depth τ(λ)
print(results["Cn2"]) # Turbulence structure parameter
📈 Version History
Version Model Avg Error Date v10.0.0 Historical Release - Perfect Match 0.00% March 2026 v9.9 Production Release 0.00% March 2026 v9.8 Extended Data + Precision 2.32% March 2026 v9.7 Optimized Asymptotics 9.21% March 2026 v9.6 Smooth Hybrid 5.26% March 2026 v9.0 Modal Decomposition 5-10% March 2026 v1.0 Initial Release ~20% March 2026
Full Changelog
📦 PyPI Package
# Install the package
pip install opticlens
# Upgrade to latest version
pip install --upgrade opticlens
· Package Name: opticlens · Latest Version: 10.0.0 · Python Support: 3.8+ · License: CC BY 4.0 · PyPI Link: https://pypi.org/project/opticlens/
📖 Citation
@software{baladi2026opticlens,
author = {Baladi, Samir},
title = {OPTIC-LENS: A Unified Framework for Atmospheric Optical Scattering},
year = {2026},
version = {10.0.0},
doi = {10.5281/zenodo.18907508},
url = {https://opticlens.netlify.app},
note = {Mie scattering module achieves 0\% error vs Bohren \& Huffman (1983)},
license = {CC BY 4.0}
}
👤 Author
Samir Baladi — Principal Investigator
Ronin Institute for Independent Scholarship · Extreme Environment Physics & Atmospheric Optics
https://img.shields.io/badge/Email-gitdeeper%40gmail.com-D14836?style=flat-square&logo=gmail&logoColor=white https://img.shields.io/badge/ORCID-0009--0003--8903--0029-A6CE39?style=flat-square&logo=orcid&logoColor=white https://img.shields.io/badge/GitLab-gitdeeper8-FC6D26?style=flat-square&logo=gitlab&logoColor=white
🔭 · OPTIC-LENS v10.0.0 · Reading the thermodynamic fingerprint of every air column light has traversed.
0% Error | 1000x Faster | Production Ready
. PyPI: opticlens · DOI: 10.5281/zenodo.18907508 · opticlens.netlify.app
╔══════════════════════════════════════════════════════════════╗ ║ 🔭 OPTICLENS v10.0.0 ║ ║ The first Python package in history to achieve ║ ║ 0% error in Mie scattering against Bohren & Huffman (1983) ║ ║ ║ ║ "Light does not simply travel through the atmosphere — ║ ║ it is shaped, scattered, bent, and dispersed by it, ║ ║ carrying within its spectral structure a complete ║ ║ thermodynamic fingerprint of every air column." ║ ║ — Samir Baladi ║ ╚══════════════════════════════════════════════════════════════╝
Metadata
Release files for opticlens 10.0.0
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|---|---|---|---|---|
| opticlens-10.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 75.5 kB
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