Some useful codes for teaching spectroscopic stellar parameters
##Contents of this repository
- ARES: A code to automatically measure Equivalent Widths of absorption lines is stellar spectra.
- TMCALC: A code that reads ARES output and computes a fast estimation of Teff and [Fe/H].
- MOOG2014: A code that performs a variety of LTE line analysis and spectrum synthesis tasks. (This version was modified so it does not uses supermongo plots).
- interpol_models_marcs: A tool to automatically interpolate MARCS models using the respective interpolation code.
- make_moog_lines.py: A python code that will transform ARES output format into MOOG input linelist
- read_moog_plot.py: A python code that will read the output from MOOG and make some plots and output some results important for the spectroscopic parameter determination.
- ironlines_parameters.dat: A linelist of FeI and FeII that was compiled for precise determination of spectroscopic parameters Sousa et al. 2008.
- ultimate_list.dat: A linelist optimized for the use of TMCALC.
- spectra: A folder wich contains some anonymous test HARPS spectra for the exercises in the class.
Simply clone the repository:
git clone --recursive https://github.com/sousasag/school_codes
To make the interpolation of the codes you need the grid of MARCS models with can be downloaded and extracted by:
cd school_codes
wget www.astro.up.pt/~sousasag/xpto123/marcs_models.tar
mv marcs_models.tar interpol_models_marcs
cd interpol_models_marcs
tar xvf marcs_models.tar
rm marcs_models.tar
cd ..
Before compiling the codes, make sure to edit line 22 of
MOOG2014/Moogsilent.f, so it match your PATH.
Compile the codes from the root directory:
make
If you need to clean the compilation:
make clean
##Other useful codes to install:
IRAF. A guide for installation at unix can be found here.
There are several ways to install IRAF on your system. One that has been easy to use recently and is recommended is with Ureka
These codes were implemented to be used on a Linux machines. Here is the list of some of the requirements that you need to install these codes in order to make the codes running:
For Python
- re
- numpy
- matplotlib
- argparse
- seaborn (not necessary, but will make the plots look slightly better)
They can all be installed with pip install numpy matplotlib argparse seaborn
For ARES:
- CFITSIO
- GNU Compiler Collection
- GNU Scientific Library
- Open Multi-Processing library
- The plotutils Package
- gnuplot library
All of these are easily installed in many Linux flavour systems with the use of the respective repositories. As an example for Ubuntu:
sudo apt-get install libcfitsio3-dev gcc libgsl0-dev plotutils gnuplot g++ csh
For TMCALC you need to also have cython installed if you want to create a
python module to interface with TMCALC (pip install cython).