Fast Kramers-Kronig transform library written in Rust
Project description
pykk
Python library for calculating Kramers-Kronig transform written in Rust.
Requirements
- Python >=3.10, <3.15
Install
You can install with pip command.
$ pip install pykk
Or build from the source.
build
Use maturin for building.
$ uv sync
$ uv run maturin build --release
You can find .whl file in $PROJECT_ROOT/target/wheels. Install it by pip command.
How to use
This library has two functions for calculating Kramers-Kronig transform, the transformation from real to imaginary part and vice versa.
import pykk
energy = [1, 2, 3, 4] # the values MUST have the same intervals
real = [1, 2, 3, 4]
imag = pykk.real2imag(energy, real) # real -> imaginary part
real_kk = pykk.imag2real(energy, imag) # imaginary -> real part
Performance
Compare the performance with the code implemented by Python. The length of the data is ~ 1000 data points.
| Python 3.8 | pykk |
|---|---|
| 37 s | 0.4 ms |
License
This application contains artifacts distributed under the license of the Apache License, Version 2.0.
Project details
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