Skip to main content

An FFT-based visibility simulator

Project description

fftvis: A Non-Uniform Fast Fourier Transform-based Visibility Simulator

Tests codecov Black Formatting

fftvis is a fast Python package designed for simulating interferometric visibilities using the Non-Uniform Fast Fourier Transform (NUFFT). It provides a convenient and efficient way to generate simulated visibilities.

Features

  • Utilizes the Flatiron Institute NUFFT (finufft) algorithm for fast visibility simulations that agree with similar methods (matvis) to high precision.
  • Designed to be a near drop-in replacement to matvis with a ~10x improvement in runtime
  • Extensible design that allows for easy addition of new backends
  • Support for polarized beam patterns and polarized sky models

Current Limitations

  • No support for per-antenna beams
  • GPU backend exists only as a stub implementation (coming soon!)
  • Diffuse sky models must be pixelized

Installation

You can install fftvis via pip:

pip install fftvis

Basic Usage

from fftvis import simulate_vis

# Simulate visibilities with the CPU backend (default)
vis = simulate_vis(
    ants=antenna_positions,
    fluxes=source_fluxes,
    ra=source_ra,
    dec=source_dec,
    freqs=frequencies,
    times=observation_times,
    beam=beam_model,
    polarized=True,
    backend="cpu"  # Use "gpu" for GPU acceleration when implemented
)

Architecture

fftvis is structured with a modular design:

  • Core: Contains abstract interfaces and base classes that define the API
  • CPU: Contains the CPU-specific implementation
  • GPU: Contains the GPU implementation (currently stubbed for future development)
  • Wrapper: Provides a high-level API for backward compatibility

This modular design makes the package more maintainable and extensible, allowing for the addition of new backends and optimizations without affecting the user API.

Contributing

Contributions to fftvis are welcome! If you find any issues, have feature requests, or want to contribute improvements, please open an issue or submit a pull request on the GitHub repository: fftvis on GitHub

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

This package relies on the finufft implementation provided by finufft library. Special thanks to the contributors and maintainers of open-source libraries used in this project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fftvis-1.1.0.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fftvis-1.1.0-py3-none-any.whl (39.0 kB view details)

Uploaded Python 3

File details

Details for the file fftvis-1.1.0.tar.gz.

File metadata

  • Download URL: fftvis-1.1.0.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for fftvis-1.1.0.tar.gz
Algorithm Hash digest
SHA256 89b59fd717c97f609aaa3478cf1b212c09af2e43d48b2f9700b622c065b0bb4e
MD5 a45c5848a82782fb4aaab0ddf44d4122
BLAKE2b-256 0f340604a4d2a3998d1df0775f4c9eeda69f47f9bdcdc593cb22afc6d52be817

See more details on using hashes here.

File details

Details for the file fftvis-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: fftvis-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 39.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for fftvis-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 348f15f2e4bf68483f42193abadd8e51b4a76327cfe50bed21029900a6721faf
MD5 73bd51f4439de2917d490429706b4957
BLAKE2b-256 24f01bc320add930681d9b229da01aeef77fb9f2b522a730195eb7c86ccb59a7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page