GalCraft: Building integral-field spectrograph data cubes of the Galaxy
Project description
GalCraft: Building integral-field spectrograph data cubes of the Milky Way
GalCraft is a flexible software to create mock IFS observations of the Milky Way and other hydrodynamical/N-body simulations. It is entirely written in Python3 and conducts all the procedures from inputting data and spectral templates to the output of IFS data cubes in fits
format.
The produced mock data cubes can be analyzed in the same way as real IFS observations by many methods, particularly codes like Voronoi binning (Cappellari & Copin 2003), Penalized Pixel-Fitting (pPXF, Cappellari & Emsellem 2004; Cappellari 2017, 2023), line-strength indices (e.g., Worthey 1994; Schiavon 2007; Thomas et al. 2011; Martín-Navarro et al. 2018), or a combination of them (e.g., the GIST pipeline, Bittner et al. 2019).
An elaborate, Python-native parallelization is implemented and tested on various machines from laptops to cluster scales.
Installation
Using pip
pip install GalCraft
From the git repo
git clone https://github.com/purmortal/galcraft.git
cd galcraft
pip install .
Documentation
A detailed documentation of GalCraft will be available soon.
Citing GalCraft
If you use this software framework for any publication, please cite the original paper Wang et al. (2024), which describes the method and its application to mock Milky Way observations.
License
This software is governed by the MIT License. In brief, you can use, distribute, and change this package as you want.
Contact
- Zixian Wang (University of Utah, wang.zixian.astro@gmail.com)
- Michael Hayden (University of Oklahoma, mrhayden@ou.edu)
- Sanjib Sharma (Space Telescope Science Institute, ssharma@stsci.edu)
Project details
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