Skip to main content

Generic Steller Abundance Determination Software

Project description

A generic stellar abundance determination software using Synspec.

Authors

  • David Nidever (Montana State University)

Installation

To install the latest version:

pip install git+https://github.com/dnidever/fraunhofer

Attribution

https://zenodo.org/badge/278925530.svg

If you make use of this code, please cite this work using the DOI:

Nidever, D. L. 2021, dnidever/fraunhofer, doi:10.5281/zenodo.278925530

Documentation

https://readthedocs.org/projects/fraunhofer/badge/?version=latest

See the documentation for information on how to install and use Fraunhofer.

License

http://img.shields.io/badge/license-MIT-blue.svg?style=flat

Project details


Download files

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

Source Distribution

Fraunhofer-1.0.3.tar.gz (22.0 MB view details)

Uploaded Source

Built Distribution

Fraunhofer-1.0.3-py2.py3-none-any.whl (22.7 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file Fraunhofer-1.0.3.tar.gz.

File metadata

  • Download URL: Fraunhofer-1.0.3.tar.gz
  • Upload date:
  • Size: 22.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.8.3 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.7.4

File hashes

Hashes for Fraunhofer-1.0.3.tar.gz
Algorithm Hash digest
SHA256 0e31d3797a002f711d2c28a6bd5cbe78090bcb9d864c00d30519bf4bf6ef7bd9
MD5 a224d5388311a7a5dba60144757db2fc
BLAKE2b-256 26b0ae6c2ce0f3c979ea20a3299ff09ef79b49af020e9a427bf932587780e032

See more details on using hashes here.

File details

Details for the file Fraunhofer-1.0.3-py2.py3-none-any.whl.

File metadata

  • Download URL: Fraunhofer-1.0.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 22.7 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.8.3 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.7.4

File hashes

Hashes for Fraunhofer-1.0.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2f33a6c63d5eb38897f530441f50ace778f33821863c1ec3786c0989aadde186
MD5 cb98899b001646b0a4b86cf9237df77c
BLAKE2b-256 17a59b6d25172634b9e095c41079a93b34a55c84e59060214510c54f520b14e4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page