Skip to main content

Shared JAX-based utilities for the HWO direct imaging simulation suite — constants, conversions, and image transforms.

Project description

PyPI Documentation Status Tests License Python Versions


hwoutils

hwoutils is the shared utility foundation for the HWO direct imaging simulation suite. It provides JAX-native physical constants, unit conversions, and flux-conserving image transforms used across:

  • yippy — Coronagraph performance modeling
  • orbix — Orbital dynamics and target scheduling
  • coronagraphoto — Image simulation for coronagraphic observations
  • coronalyze — Post-processing and SNR analysis
  • hwosim — End-to-end mission simulations

Key Features

  • Physical Constants — Single source of truth for SI constants, conversion factors, and astronomical quantities
  • Unit Conversions — Pure JAX conversion functions (angular, flux, distance, time) with zero astropy overhead
  • Image Transforms — Flux-conserving resampling, sub-pixel shifts, and cubic spline interpolation
  • JAX-Native — All operations are JIT-compilable, differentiable, and GPU-accelerated

Installation

With uv (recommended):

uv pip install hwoutils

Or with pip:

pip install hwoutils

Quick Start

from hwoutils import constants as const
from hwoutils import conversions as conv
from hwoutils.transforms import resample_flux

# Convert 5 arcsec to lambda/D for a 6m telescope at 550nm
sep_lod = conv.arcsec_to_lambda_d(5.0, 550.0, 6.0)

# Flux-conserving PSF resampling
resampled = resample_flux(psf, pixscale_src=0.01, pixscale_tgt=0.1, shape_tgt=(64, 64))

Documentation

Full documentation is available at hwoutils.readthedocs.io.

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

hwoutils-1.2.0.tar.gz (15.3 kB view details)

Uploaded Source

Built Distribution

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

hwoutils-1.2.0-py3-none-any.whl (14.5 kB view details)

Uploaded Python 3

File details

Details for the file hwoutils-1.2.0.tar.gz.

File metadata

  • Download URL: hwoutils-1.2.0.tar.gz
  • Upload date:
  • Size: 15.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hwoutils-1.2.0.tar.gz
Algorithm Hash digest
SHA256 8bf3d0bdc3107579f1dd4c9e2e64aa3c8540df1fa60b0d744b19821cf550e9ca
MD5 94586ef089fc501c90b8a62c6e395097
BLAKE2b-256 c6068ad9d78164f79c0ef81b1dbda2958940e88df72729937adb4a099d307018

See more details on using hashes here.

Provenance

The following attestation bundles were made for hwoutils-1.2.0.tar.gz:

Publisher: publish-to-pypi.yml on CoreySpohn/hwoutils

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file hwoutils-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: hwoutils-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 14.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hwoutils-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c95914c5c7badb6b9cab68c63b920df1999c75b4c36b7bf678a7b27d046f9d08
MD5 76061012efda1fb1ca10c5dc24d40e10
BLAKE2b-256 e7f58750750a81b453036118016575271994608b0f5510a1038840c66e152e10

See more details on using hashes here.

Provenance

The following attestation bundles were made for hwoutils-1.2.0-py3-none-any.whl:

Publisher: publish-to-pypi.yml on CoreySpohn/hwoutils

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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