GAMSE
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 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gamse-1.0.tar.gz | 485.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gamse-1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.0 MB
Release files / gamse-1.0.tar.gz
| Download URL | gamse-1.0.tar.gz |
|---|---|
| Size | 485.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.3
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Release files / gamse-1.0-py3-none-any.whl
| Download URL | gamse-1.0-py3-none-any.whl |
|---|---|
| Size | 530.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.3
|