opticlens 10.0.0

OPTICLENS: Optical Phenomena, Turbulence & Imaging — Light Environmental Nonlinearity System

🔭 OPTIC-LENS

Optical Phenomena, Turbulence & Imaging — Light Environmental Nonlinearity System

A unified physics-computational framework for atmospheric optical scattering and photon dynamics

📖 Whitepaper · 🌐 Dashboard · 🐛 Issues · 📬 Contact

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✨ 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%

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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%

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Average Error: 0.00%

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📂 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

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🚀 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

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📈 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

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📦 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/

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📖 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}
}

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👤 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

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🔭 · 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

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╔══════════════════════════════════════════════════════════════╗ ║ 🔭 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 ║ ╚══════════════════════════════════════════════════════════════╝