Project description

Orbital Torus Imaging 🍩

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

The documentation for torusimaging is hosted on Read the Docs.

Installation and Dependencies

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

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

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

0.1

Jan 12, 2024

Download files

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

Source Distribution

torusimaging-0.1.tar.gz (1.6 MB view details)

Uploaded Jan 12, 2024 Source

Built Distribution

torusimaging-0.1-py3-none-any.whl (24.1 kB view details)

Uploaded Jan 12, 2024 Python 3

File details

Details for the file torusimaging-0.1.tar.gz.

File metadata

Download URL: torusimaging-0.1.tar.gz
Upload date: Jan 12, 2024
Size: 1.6 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for torusimaging-0.1.tar.gz
Algorithm	Hash digest
SHA256	`22790d4ce6e700166767e710a650d817472446064946eea8a5661089ac9a0005`
MD5	`65631cda2a6842d4ac9cee1033cc5e4f`
BLAKE2b-256	`93108a61000e1af35367b847aa032071aaa234ac61eb3920ea57df845ff9d3f3`

See more details on using hashes here.

File details

Details for the file torusimaging-0.1-py3-none-any.whl.

File metadata

Download URL: torusimaging-0.1-py3-none-any.whl
Upload date: Jan 12, 2024
Size: 24.1 kB
Tags: Python 3
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for torusimaging-0.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`61a6b63d051749b98464b84a6f475eec73cf37ab2baa8e72a5fcf1f4d7d96073`
MD5	`82f0fa3a4e874cdf9a1d169dfed35e19`
BLAKE2b-256	`690fd70d0ed2ee26dc0f42f433c2adebb895cfd219e913cc59c454a899dfdaf5`