epsf: Bayesian Effective PSF Modelling
epsf is a framework to easily build and model effective PSFs with Python.
It uses PSF models from JWST1PASS and the simpple to build PSF models for JWST observations.
Take a look at the documentation for more information: https://epsf.readthedocs.io
1 maintainer
Release files for epsf 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| epsf-0.1.0.tar.gz | 9.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| epsf-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.3 MB
Release files / epsf-0.1.0.tar.gz
| Download URL | epsf-0.1.0.tar.gz |
|---|---|
| Size | 9.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.14.0
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Release files / epsf-0.1.0-py3-none-any.whl
| Download URL | epsf-0.1.0-py3-none-any.whl |
|---|---|
| Size | 11.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
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