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StarKit

image

Installation

We recommend you use Anaconda to install the necessary requirements for Starkit to work.

Once you have anaconda installed please make a new environment with the prerequisites for starkit in the following way. This will create an environment called `starkit`:

curl -O https://raw.githubusercontent.com/starkit/starkit/master/starkit_env3.yml

# install using yml file into an environment called starkit. 
# If you want to call it something else, or already have a starkit enivornment, 
# you can change the -n argument

conda env create --file starkit_env3.yml -n starkit
source activate starkit

Then you can install any other packages you like with:

conda install <your package>

Once this is installed, there are two ways to install starkit. For simple use:

pip install git+https://github.com/starkit/starkit

For to download a full development version of starkit please do:

git clone https://github.com/starkit/starkit
cd starkit
python setup.py develop

Example publications that use StarKit

  • Do, Tuan; Kerzendorf, Wolfgang; Konopacky, Quinn; Marcinik, Joseph M.; Ghez, Andrea; Lu, Jessica R.; Morris, Mark R., [Super-solar Metallicity Stars in the Galactic Center Nuclear Star Cluster: Unusual Sc, V, and Y Abundances](https://ui.adsabs.harvard.edu/#abs/2018ApJ...855L...5D/abstract)
  • Feldmeier-Krause, A.; Kerzendorf, W.; Neumayer, N.; Schödel, R.; Nogueras-Lara, F.; Do, T.; de Zeeuw, P. T.; Kuntschner, H., [KMOS view of the Galactic Centre - II. Metallicity distribution of late-type stars](https://ui.adsabs.harvard.edu/#abs/2017MNRAS.464..194F/abstract)

A test grid can be found at https://zenodo.org/record/2557923/files/phoenix_t4000_10000_w3000_9000_r3000.h5?download=1. If you use this grid please make sure that the Phoenix grid is also cited