Skip to main content

Unified spectrospatial models: glasses for your spectra.

Project description


spectrackles

Unified spectrospatial models for integral field spectroscopy in jax

Glasses for your spectra

Spectracles is a Python library for inferring properties of IFU/IFS spectra as continuous functions of sky position.

It can also be used as a general-purpose statistical model library that extends equinox to allow for composable models that may have coupled parameters. It also implements some other nice features that are a bit awkward in equinox out of the box, like easily updating model parameters between fixed and varying.

Installation

Easiest is from PyPI either with pip

pip install spectracles

or uv (recommended)

uv add spectracles

Or, you can clone and build from source

git clone git@github.com:TomHilder/spectracles.git
cd spectracles
pip install -e .

Important: fftw must be installed or the required dependencyjax-finufft will fail to build.

Usage

TODO

Citation

TODO

Help

TODO

TODO

  • Relax version requirements from being strictly my environment (which is very up-to-date)
  • Instead of replacing shared leaves with 0, replace with some class/object instead
  • Nicer __repr__ for ShareModule that actually says the memory address
  • Add memory address to the top of print_model_tree
  • Support tuples, lists and dicts of models as attributes of models
  • Handle non-odd number of modes
  • Write better tests
  • Rigorously type check the tests

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

spectracles-0.5.4.tar.gz (21.0 kB view details)

Uploaded Source

Built Distribution

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

spectracles-0.5.4-py3-none-any.whl (25.1 kB view details)

Uploaded Python 3

File details

Details for the file spectracles-0.5.4.tar.gz.

File metadata

  • Download URL: spectracles-0.5.4.tar.gz
  • Upload date:
  • Size: 21.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for spectracles-0.5.4.tar.gz
Algorithm Hash digest
SHA256 53cc1339a0c67bbe25a041e4f415c44fa04f96a28e468d4089c9feb7a98ff68f
MD5 0c352c67a7009e1b0ff79e56747cb55d
BLAKE2b-256 e95306571e3cbc80a3eabeafef12f56390111934098bee46455bc24174490226

See more details on using hashes here.

Provenance

The following attestation bundles were made for spectracles-0.5.4.tar.gz:

Publisher: release.yml on TomHilder/spectracles

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

File details

Details for the file spectracles-0.5.4-py3-none-any.whl.

File metadata

  • Download URL: spectracles-0.5.4-py3-none-any.whl
  • Upload date:
  • Size: 25.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for spectracles-0.5.4-py3-none-any.whl
Algorithm Hash digest
SHA256 9965a89a5d6e7a643fa5d085143bfd03f703a00709cb9a821a4557c13cb9eb7e
MD5 d13b6170e8f0baa0f937c2a2727df309
BLAKE2b-256 e92419875ca95541d2c657cd7d55e8df959d75761320ae393a1de9d66a0901d0

See more details on using hashes here.

Provenance

The following attestation bundles were made for spectracles-0.5.4-py3-none-any.whl:

Publisher: release.yml on TomHilder/spectracles

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