GAMSE Documentation¶

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. GAMSE supports a variety of instruments, e.g. FOCES on the 2m Fraunhofer Telescope in Wendelstein Observatory, and HRS on the 2.16m telescope in Xinglong Observatory.

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 usethe 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

General Description¶

The reduction procedure and the input parameters are controlled by an user-defined ASCII configuration file. It consists of a series of key/values delimited by the equal signs. Comments prefixed by hash (#) or semicolons (;) symbols are supported,

Getting Started with GAMSE¶

Extracting one-dimensional spectra from raw images using GAMSE is simple. Basically there are only 4 steps

Prepare a working directory and link the raw data.
Create an ASCII config file by running
```
gamse config
```
Generate an observing log file by running
```
gamse list
```
Calibrate the data and extract the spectra by running
```
gamse reduce
```

However, the config and observing log files for a specific instrument might be slightly different with others, as every spectrograph is different with others. We recommend the users to reduce their data following the guide of individual spectrograph.

Supported Spectrographs¶

FOCES on 2m Fraunhofer Telescope in Wendelstein Observatory
HRS on 2.16m telescope in Xinglong Observatory