Skip to main content

Generic Echelle Data Reduction Package

Project description

GAMSE

PyPI Read the Docs License

GAMSE is a data reduction package for high-resolution échelle spectrographs. It contains necessary subroutines in spectral reduction process, including overscan correction, bias subtraction, order detection, flat-fielding correction, background correction, and optimal extraction.

Dependencies

GAMSE is based on Python 3.4 or later, and does not work in Python 2.x. To use GAMSE the following packages are required:

  • Numpy 1.16.1 or later: A Python library for multi-dimensional arrays and mathematics.
  • Scipy 0.17.0 or later: A Python library for scientific computing.
  • Matplotlib 2.2.0 or later: To display and generate output figures.
  • Astropy 3.1.1 or later: To read and write FITS files and ASCII tables.

Installation

To install GAMSE package with pip, simply use the following command:

sudo pip install gamse

Or alternatively, clone the whole repository with GIT:

git clone https://github.com/wangleon/gamse.git

Then run the setup script in the cloned directory:

sudo python3 setup.py install

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

gamse-0.98.tar.gz (446.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gamse-0.98-py3-none-any.whl (488.2 kB view details)

Uploaded Python 3

File details

Details for the file gamse-0.98.tar.gz.

File metadata

  • Download URL: gamse-0.98.tar.gz
  • Upload date:
  • Size: 446.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.3

File hashes

Hashes for gamse-0.98.tar.gz
Algorithm Hash digest
SHA256 32447d4b078ffa2eb050085255fbbc2f2de074eb85647046d11ddd47d2de8dfe
MD5 85693aa8cf8c7784bc8aaa006cf86a81
BLAKE2b-256 effd20eccdd11ea8c973a2289314545dd23179a1913c39393ddc520b4f3b7d6f

See more details on using hashes here.

File details

Details for the file gamse-0.98-py3-none-any.whl.

File metadata

  • Download URL: gamse-0.98-py3-none-any.whl
  • Upload date:
  • Size: 488.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.3

File hashes

Hashes for gamse-0.98-py3-none-any.whl
Algorithm Hash digest
SHA256 d7d4c7df6d5e6a275b1d1a3e79959988fa0792c5033657ead0475032a11d4dd3
MD5 910e9ad441e7baa5557cf603c48737e9
BLAKE2b-256 1a2a3c0a03e23c617cde631eb708543016788e775a9a22386e95d609e6b2641a

See more details on using hashes here.

Supported by

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