pedestal-inference
A collection of python tools for Bayesian analysis of plasma-edge Thomson-scattering data.
Thomson-scattering synthetic diagnostic model
Pedestal-inference provides a model for polychromator-based Thomson-scattering systems which predicts the expected profiles of spectral intensity in each wavelength band given a pair of electron temperature and density profiles defined by one of the edge profile models.
Edge profile models
A collection of edge profile models are available, including the standard 'mtanh' model.
Documentation
Package documentation is available at pedestal-inference.readthedocs.io
Installation
Pedestal-inference is available from PyPI, so can be easily installed using pip as follows:
pip install pedestal-inference
1 maintainer
Metadata
1 maintainer
Release files for pedestal-inference 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pedestal_inference-0.5.0.tar.gz | 23.1 kB | Without provenance | Details for pedestal_inference-0.5.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pedestal_inference-0.5.0-py3-none-any.whl | Python 3 | none | any | Details for pedestal_inference-0.5.0-py3-none-any.whl |
Total release size: 52.4 kB
Release files / pedestal_inference-0.5.0.tar.gz
| Download URL | pedestal_inference-0.5.0.tar.gz |
|---|---|
| Size | 23.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
018956245046b3153d763b1ccceeed0b9ae9be4ef1896ce42c3cc272591cdf89
|
|
BLAKE2b-256 checksum How to use checksums |
76d5924b2bdef36473478f72b9cc866992d27c892c1dfb0888fc03993b7c1980
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
Release files / pedestal_inference-0.5.0-py3-none-any.whl
| Download URL | pedestal_inference-0.5.0-py3-none-any.whl |
|---|---|
| Size | 29.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1f161155b540e0d385dd53e30c6d7caa3f0f039390c0f244353d7400d519aa9f
|
|
BLAKE2b-256 checksum How to use checksums |
729a922bbca215900e5f5a49258889f31f3e8f4f632d9b56e06b209375144d37
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
Security for pedestal-inference 0.5.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
