Welcome to jackknify’s documentation!

jackknify is a Python library used to create noise realizations of radio/mm interferometry data.

The package was developed to make realistic noise maps, which are usefull for feasibility studies, as to better understand the false likelihood of detecting weak spectral lines.

The package has been tested and used for ALMA data but the technique is broadly applicable to any interferometric data.

To get started, check out the Installation page.

Contents:

• Installation
  • Running jackknify on Apple Silicon chips
• Tutorials
  • How to: Jackknife Measurement Sets
  • How to: Visualize Jackknifed Measurement Sets
  • How to: Use jackknify for line finding.

Please report any issues on the development page: https://github.com/Joshiwavm/jackknify/issues

Acknowledgment

If you make use of jackknify in your work, please cite it as: van Marrewijk & Di Mascolo (2024), using the following BibTeX entry:

@software{joshiwa_van_marrewijk_2024_12516585,
  author       = {Joshiwa van Marrewijk and
                  Luca Di Mascolo},
  title        = {Joshiwavm/jackknify: Release Jackknify 0.3.0},
  month        = jun,
  year         = 2024,
  publisher    = {Zenodo},
  version      = {first\_release},
  doi          = {10.5281/zenodo.12516585},
  url          = {https://doi.org/10.5281/zenodo.12516585}
}