Skip to main content

Frankenstein, the flux reconstructor

Project description



DOI

Frankenstein (frank) is a library that fits the 1D radial brightness profile of an interferometric source given a set of visibilities. It uses a Gaussian process that performs the fit in <1 minute for a typical protoplanetary disc continuum dataset.

Get the code

frank's on PyPI, so you can just use pip,

pip install frank

Documentation

The docs have it all.

Attribution

If you use frank for your research please cite Jennings, Booth, Tazzari et al. 2020 MNRAS 495(3) 3209 [MNRAS] [ADS] [arXiv] [Zenodo]:

@ARTICLE{2020MNRAS.495.3209J,
       author = {{Jennings}, Jeff and {Booth}, Richard A. and {Tazzari}, Marco and {Rosotti}, Giovanni P. and {Clarke}, Cathie J.},
        title = "{frankenstein: protoplanetary disc brightness profile reconstruction at sub-beam resolution with a rapid Gaussian process}",
      journal = {\mnras},
     keywords = {methods: data analysis, protoplanetary discs, techniques: interferometric, planets and satellites: detection, submillimetre: general, submillimetre: planetary systems, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2020,
        month = jul,
       volume = {495},
       number = {3},
        pages = {3209-3232},
          doi = {10.1093/mnras/staa1365},
archivePrefix = {arXiv},
       eprint = {2005.07709},
 primaryClass = {astro-ph.EP},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020MNRAS.495.3209J},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

These papers cite frank.

Authors

Contact

Interested in collaborating to improve, extend or apply frank? Or just have questions about the code that don't require submitting an issue? Email Jeff!

License

frank is free software licensed under the LGPLv3 License. For more details see the LICENSE.

© Copyright 2019-2020 Richard Booth, Jeff Jennings, Marco Tazzari.

Image: Universal Studios, NBCUniversal [Public domain]

Project details


Download files

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

Files for frank, version 1.1.0
Filename, size File type Python version Upload date Hashes
Filename, size frank-1.1.0.tar.gz (63.4 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page