Project description

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

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

0.4.0

Jul 25, 2024

0.3.0

Feb 1, 2024

0.2.3

Jul 10, 2023

0.2.2

Jul 5, 2023

0.2.1

Jun 16, 2023

0.2.0

Jun 16, 2023

0.1.0

Apr 4, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pedestal_inference-0.4.0.tar.gz (22.9 kB view details)

Uploaded Jul 25, 2024 Source

Built Distribution

pedestal_inference-0.4.0-py3-none-any.whl (28.6 kB view details)

Uploaded Jul 25, 2024 Python 3

File details

Details for the file pedestal_inference-0.4.0.tar.gz.

File metadata

Download URL: pedestal_inference-0.4.0.tar.gz
Upload date: Jul 25, 2024
Size: 22.9 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for pedestal_inference-0.4.0.tar.gz
Algorithm	Hash digest
SHA256	`ed05665fa69a742247ae60fcac0e82382cb5f70f3a9b5da06d6ff8260c20b2d1`
MD5	`57112ebc038b1d461ebe4aa1933fc8db`
BLAKE2b-256	`253fabe5ddca84d57165e262a9f57b85a335f853b283014931bbc84bc20648e9`

See more details on using hashes here.

File details

Details for the file pedestal_inference-0.4.0-py3-none-any.whl.

File metadata

Download URL: pedestal_inference-0.4.0-py3-none-any.whl
Upload date: Jul 25, 2024
Size: 28.6 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for pedestal_inference-0.4.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`02e86b19b3a2acb67c3ee6e48013103421522237456ca3d330c661c482204819`
MD5	`7cfe1b1df7ea13c61163d23ccf7aed85`
BLAKE2b-256	`53c022c5f67d6df3fad5a8f7e3b8f7089f5b6f37ffaab31376a009a3b54cdfaf`