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
From PyPI with pip:
pip install spectracles
Or with uv (recommended):
uv add spectracles
From source:
git clone git@github.com:TomHilder/spectracles.git
cd spectracles
pip install -e .
Note: fftw must be installed or the dependency jax-finufft will fail to build.
Features
- Parameter sharing - Couple parameters across model components
- Declarative optimization schedules - Specify which parameters are free/fixed per phase
- Glob patterns - Use wildcards like
"gp.kernel.*"to match parameters - JAX integration - Built on equinox, fully compatible with JAX transformations
- Rich output - Pretty-printed model trees and gradient diagnostics
Documentation
Full documentation: tomhilder.github.io/spectracles
Citation
Coming soon.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for spectracles 0.6.5
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Source distribution (sdist)
| File | Size | Uploaded | |
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| spectracles-0.6.5.tar.gz | 51.4 kB | Details |
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|---|---|---|---|---|
| spectracles-0.6.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 115.7 kB
Release files / spectracles-0.6.5.tar.gz
| Download URL | spectracles-0.6.5.tar.gz |
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| Size | 51.4 kB |
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