Try install many of the scripts with
pip install astro-scripts
This is still under development though, but it does work!
To check the installation run plot_fits
in the terminal.
Look at the wiki instead: https://github.com/DanielAndreasen/astro_scripts/wiki It's not done, but I will gradually move documentation to the wiki.
Small scripts to make my life easier.
The tools are mainly (if not exclusive) for spectroscopy. All the small scripts
are fairly well documented, and the python scripts use the module argparse
which means you can run them like
python numpy2moog -h
and get some fancy help information on how to use them. The shell scripts have a block comment in top of the file.
I recommend putting this folder in your PATH so the scripts are easily accesible. To do so depends on your system. I am sure google can help you ;)
This I find to be a very powerful and handy python script. It simply plot a fits file and leave you in pan mode (matplotlib). More over it has the feature to plot a part of the solar spectrum and telluric lines, and finally redshift the spectrum.
For this script one needs to use the telluric and solar spectrum
provided here and change the path in plot_fits
in line 46 and line 57.
The wavelength vector is created from the fits (which should be 1D). It uses the keywords
- CRVAL1: The beginning of the wavelength.
- CDELT1: The step in wavelength.
- NAXIS: The length of the wavelength vector.
This is a python script that converts ASCII arrays into the format for MOOG. It can be a bit tricky, but I will provide examples in the future.
This script is used to send emails to extract all
from the VALD database. A
central wavelength should be inputted with the -h
flag, and the half range
should be given with the -s
flag.
VALDextraction -w 6743 -s 3
This will open a new email (Thunderbird) with the syntax required for VALD (no reason to delete the signature) in a 6Å window centered on the wavelength 6743Å.
This one-liner I have saved in a script put a #
on all the lines containing a center
from a IRAF files after using
the splot
routine. This allows to easy read the splot.log
with python using something like np.loadtxt
. One
probably need to remove date strings. This should be easy to implement I guess.
This bash script unpack a linelist from VALD when the download
option is set to FTP. The downloadable file is .gz
. This file is unpacked and saved in an optional output
argument
(see the block comment in the script). The references is saved in a seperate file, and the final file is relatively
easy to read with np.loadtxt
.
Feel free to open an issue with suggestions or bugs.
Read the LICENCE file.