Skip to main content

GalCraft: Building integral-field spectrograph data cubes of the Galaxy

Project description

GalCraft: Building integral-field spectrograph data cubes of the Milky Way

pypi arXiv DOI ASCL LICENSE

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 .

Example

Follow the commands below to download test kit:

wget https://github.com/purmortal/galcraft/archive/refs/heads/test_kit.zip
unzip test_kit.zip
cd galcraft-test_kit/tests/

Then generate your first mock data using GalCraft command:

GalCraft --config test_kit --default-dir configFiles/defaultDir

The data cubes are saved into ./output/test_kit/

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.

@ARTICLE{2024MNRAS.534.1175W,
       author = {{Wang}, Zixian and {Sharma}, Sanjib and {Hayden}, Michael R. and {van de Sande}, Jesse and {Bland-Hawthorn}, Joss and {Vaughan}, Sam and {Martig}, Marie and {Pinna}, Francesca},
        title = "{Validating full-spectrum fitting with a synthetic integral-field spectroscopic observation of the Milky Way}",
      journal = {\mnras},
     keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2024,
        month = oct,
       volume = {534},
       number = {2},
        pages = {1175-1204},
          doi = {10.1093/mnras/stae2148},
archivePrefix = {arXiv},
       eprint = {2310.18258},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024MNRAS.534.1175W},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

License

This software is governed by the MIT License. In brief, you can use, distribute, and change this package as you want.

Contact

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

galcraft-1.6.0.tar.gz (1.0 MB view details)

Uploaded Source

File details

Details for the file galcraft-1.6.0.tar.gz.

File metadata

  • Download URL: galcraft-1.6.0.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for galcraft-1.6.0.tar.gz
Algorithm Hash digest
SHA256 0814d59a7f97078982fc8680943488b790add5e0890316a2a9201e7764d4f2f0
MD5 d05da8750cb9ed808ad8410ca54f7e7f
BLAKE2b-256 0f0e3da10eecf1468fa2e17dc67cf62e222e5dbc7767024ba33f209c102dd30d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page