Skip to main content

imcascade

Docs License Arxiv pypi

imcascade is a code designed for fitting objects in astronomical images using a “cascade” of Gaussians. It uses multi-guassian expansion (MGE) to model galaxies as a mixture of Gaussians in a Bayesian Framework. It was designed to study the morphology of faint, semi-resolved galaxies. If you are planning on using imcascade we suggest reading our paper describing the method here and the documentation here.

Citation

imcascade is open source software made available under the MIT license, written by Tim Miller and Pieter van Dokkum. If you use this package in your work please cite Miller & van Dokkum (2021)

Help and Issues

imcacscade is maintained on Github. If you find a bug in the code or have a feature you would like to request, please open an issue on Github. Additionally you can reach out to me directly if you are having issues using the code or have suggestions.

Metadata

Release files for imcascade 1.1

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

Source distribution (sdist)

Source distribution for imcascade 1.1
File Size Uploaded Provenance Actions
imcascade-1.1.tar.gz 27.4 kB Without provenance Details for imcascade-1.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for imcascade 1.1
File Interpreter ABI Platform Actions
imcascade-1.1-py3-none-any.whl Python 3 none any Details for imcascade-1.1-py3-none-any.whl

Total release size: 56.2 kB

Release files / imcascade-1.1.tar.gz

Download URL imcascade-1.1.tar.gz
Size 27.4 kB
Tags Source
SHA-256 checksum
How to use checksums
e27c395641ef874261384b1d02b1055200d8a2482918328b2856e73731416309
BLAKE2b-256 checksum
How to use checksums
16dfd592a4274d2f3559ee5d6b959d95e731254e80e87e4375536ffb54577b94
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.12

Release files / imcascade-1.1-py3-none-any.whl

Download URL imcascade-1.1-py3-none-any.whl
Size 28.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0defab0dd2dbe0e7dcc3649c0b2a894c5ab9f019c5c58b9b65979d7458da3261
BLAKE2b-256 checksum
How to use checksums
df59316c908f32df28c96caee4047b482ae0252a6f7dcf305909f9db0f54622a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.12

Security for imcascade 1.1

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.

Release history Release notifications | RSS feed

This release

1.1 This release

2 release files No provenance

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