Installation

Important packages

roland is a package to run the MOOG and moog17scat spectral synthesis code by Chris Sneden and scattering improvements by Jennifer Sobeck and other updates by Alex Ji. There is also a Python wrapper/driver based on some old IDL software I wrote and some code from Jon Holtzman in the in the APOGEE package).

Installing Roland

The easiest way to install the code is with pip.

pip install roland

Synthesis Packages

The various spectral synthesis packages that roland calls are not installed automatically. That’s because the code is mostly Fortran or Julia and I didn’t trust an automatic install for all of these. However, they should be pretty to install.

1) Synspec

Synspec is a package I created to redistribute the Synspec spectral synthesis package by Ivan Hubeny and Thierry Lanz and Python driver software mostly from Carlos Allende Prieto’s synple package.

The easiest way to install the code is with pip. This will compile the Fortran code and install the binaries and Python software.

pip install synspec

2) Moogpy

Moogpy is a package I created to redistribute the MOOG spectral synthesis package by Chris Sneden with scattering improvements by Jennifer Sobeck and other updates by Alex Ji. Python driver software is also included.

The easiest way to install the code is with pip. This will compile the Fortran code and install the binaries and Python software.

pip install moogpy

3) Turbospectrum

Turbospectrum is a package I created to redistribute the Turbospectrum spectral synthesis package by Bertrand Plez and Python driver software.

The easiest way to install the code is with pip. This will compile the Fortran code and install the binaries and Python software.

pip install turbospectrum

4) Korg

Korg is a new spectral synthesis package written by Adam Wheeler in the Julia programming language.

Korg can be called from Python. You’ll need to install Julia on your system and install the IJulia, PyPlot and Korg.

Installing Julia

There are Julia installers for various systems available from the downloads page. Once I installed Julia on my Mac laptop, I had to run a few commands to make it callable:

sudo mkdir -p /usr/local/bin
sudo rm -f /usr/local/bin/julia
sudo ln -s /Applications/Julia-1.8.app/Contents/Resources/julia/bin/julia /usr/local/bin/julia

Installing Julia packages

After you have installed Julia it’s pretty straightforward to download and install package directly from Julia itself. It has its own built-in package manager.

Start up Julia from the command-line:

% julia
           _
   _       _ _(_)_     |  Documentation: https://docs.julialang.org
  (_)     | (_) (_)    |
   _ _   _| |_  __ _   |  Type "?" for help, "]?" for Pkg help.
  | | | | | | |/ _` |  |
  | | |_| | | | (_| |  |  Version 1.8.3 (2022-11-14)
 _/ |\__'_|_|_|\__'_|  |  Official https://julialang.org/ release
|__/                   |

julia>

To download and install a Julia type a right bracket “]”, this will take you into the Pkg package manager.

julia> ]

Then you use the add command to install packages. We need to add “Korg”, “IJulia”, “PyPlot”, and “PyCall”

(@v1.8) pkg> add Korg
... messages
(@v1.8) pkg>

You can see the packages that you have installed with the status command.

(@v1.8) pkg> status
Status `~/.julia/environments/v1.8/Project.toml`
  [7073ff75] IJulia v1.23.3
  [acafc109] Korg v0.12.1
  [438e738f] PyCall v1.94.1
  [d330b81b] PyPlot v2.11.0

Installing PyJulia

We also need to install pyjulia which is a Python package to communicate directly with Julia. It should be straightforward to pip install it.

pip install pyjulia

Dependencies