Skip to main content

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

Release files for gamse 0.98

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

Source distribution (sdist)

Source distribution for gamse 0.98
File Size Uploaded
gamse-0.98.tar.gz 446.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gamse 0.98
File Interpreter ABI Platform
gamse-0.98-py3-none-any.whl Python 3 none any Details

Total release size: 935.0 kB

Release files / gamse-0.98.tar.gz

Download URL gamse-0.98.tar.gz
Size 446.9 kB
Tags Source
SHA-256 checksum
How to use checksums
32447d4b078ffa2eb050085255fbbc2f2de074eb85647046d11ddd47d2de8dfe
BLAKE2b-256 checksum
How to use checksums
effd20eccdd11ea8c973a2289314545dd23179a1913c39393ddc520b4f3b7d6f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.3

Release files / gamse-0.98-py3-none-any.whl

Download URL gamse-0.98-py3-none-any.whl
Size 488.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d7d4c7df6d5e6a275b1d1a3e79959988fa0792c5033657ead0475032a11d4dd3
BLAKE2b-256 checksum
How to use checksums
1a2a3c0a03e23c617cde631eb708543016788e775a9a22386e95d609e6b2641a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.3

Release history Release notifications | RSS feed

1.0

2 release files

This release

0.98 This release

2 release files

0.95

1 release file

0.94

1 release file

0.93

1 release file

0.9

1 release file

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