Metadata-Version: 2.4
Name: mnpbem-simulation
Version: 0.1.3
Summary: High-level simulation orchestration helpers for MNPBEM workflows.
Author-email: GALIH RIDHO UTOMO <g4lihru@students.unnes.ac.id>
License-Expression: GPL-2.0-only
Project-URL: Homepage, https://pypi.org/project/mnpbem-simulation/
Project-URL: Repository, https://github.com/galihru/mnpbem/tree/main/mnpbem-simulation
Project-URL: Source, https://github.com/galihru/mnpbem
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.24

# mnpbem-simulation

[![PyPI version](https://img.shields.io/pypi/v/mnpbem-simulation.svg)](https://pypi.org/project/mnpbem-simulation/)
[![Python versions](https://img.shields.io/pypi/pyversions/mnpbem-simulation.svg)](https://pypi.org/project/mnpbem-simulation/)

`mnpbem-simulation` orchestrates vectorized spectrum evaluation over wavelength grids.
Release metadata is generated from this README so installation notes and mathematical context stay synchronized.

## Implemented Formulation
For a sampled wavelength grid, the response is evaluated as:

```text
S_i = f(\lambda_i)
```

with strict shape-consistency between input grid and output spectrum.

## Implementation
- Spectrum sampling: `src/mnpbem_simulation/spectra.py`

## Dependencies
- `numpy>=1.24`

## Installation
```bash
pip install mnpbem-simulation
```

## Example
Runnable example:
- `examples/basic_usage.py`

Run:
```bash
python examples/basic_usage.py
```

## Author
- GALIH RIDHO UTOMO
- g4lihru@students.unnes.ac.id
