Skip to main content

Orbital Torus Imaging 🍩

Actions Status

An implementation of the method of Orbital Torus Imaging, which exploits gradients in stellar labels (e.g., element abundances or ages) or stellar label moments to infer the orbit structure and mass distribution of the Galaxy.

Documentation

Documentation Status

The documentation for torusimaging is hosted on Read the Docs.

Installation and Dependencies

PyPI version

The recommended way to install torusimaging is using pip to install the latest development version:

pip install git+https://github.com/adrn/torusimaging

or, to install the latest stable version:

pip install torusimaging

Attribution

If you find this package useful, please cite the latest Orbital Torus Imaging paper:

TODO

License

Copyright 2021-2024 Adrian Price-Whelan and contributors.

torusimaging is free software made available under the MIT License. For details see the LICENSE file.

Metadata

Release files for torusimaging 0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for torusimaging 0.1
File Size Uploaded
torusimaging-0.1.tar.gz 1.6 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for torusimaging 0.1
File Interpreter ABI Platform
torusimaging-0.1-py3-none-any.whl Python 3 none any Details

Total release size: 1.6 MB

Release files / torusimaging-0.1.tar.gz

Download URL torusimaging-0.1.tar.gz
Size 1.6 MB
Tags Source
SHA-256 checksum
How to use checksums
22790d4ce6e700166767e710a650d817472446064946eea8a5661089ac9a0005
BLAKE2b-256 checksum
How to use checksums
93108a61000e1af35367b847aa032071aaa234ac61eb3920ea57df845ff9d3f3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/4.0.2 CPython/3.11.7

Release files / torusimaging-0.1-py3-none-any.whl

Download URL torusimaging-0.1-py3-none-any.whl
Size 24.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
61a6b63d051749b98464b84a6f475eec73cf37ab2baa8e72a5fcf1f4d7d96073
BLAKE2b-256 checksum
How to use checksums
690fd70d0ed2ee26dc0f42f433c2adebb895cfd219e913cc59c454a899dfdaf5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/4.0.2 CPython/3.11.7

Release history Release notifications | RSS feed

This release

0.1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page