JAX-accelerated FFTLog implementation for Large Scale Structure cosmology
Project description
FFTLog
A Python implementation of FFTLog for fast logarithmic FFT transforms, developed for PyBird.
Installation
From PyPI (recommended)
pip install fftlog-lss
From source
git clone https://github.com/pierrexyz/fftlog.git
cd fftlog
pip install --editable .
Dependencies
- Python >= 3.8
- numpy >= 1.20.0
- scipy >= 1.7.0
Usage
FFTLog provides fast logarithmic FFT transforms for scientific computing applications. Here's a basic example:
import numpy as np
from fftlog import FFTLog
# Initialize FFTLog
fftlog = FFTLog(
Nmax=1024, # Number of points
xmin=1e-3, # Minimum x value
xmax=1e3, # Maximum x value
bias=0.0, # Bias parameter
complex=False # Use real FFT
)
# Example function
x = np.logspace(-3, 3, 1000)
f = np.exp(-x**2) # Gaussian function
# Transform
result = fftlog.rec(x, f)
Features
- Fast logarithmic FFT transforms
- Support for both real and complex transforms
- Spherical Bessel transforms
- Anti-aliasing windows
- Optimized for Large Scale Structure cosmology
Documentation
For more detailed examples and documentation, see the notebooks in the notebooks/ directory.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Project details
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