macauff¶
The Python package for Matching Across Catalogues using the Astrometric Uncertainty Function and Flux
macauff is a package for cross-matching photometric catalogues. Using the positions, uncertainties, and flux measurements of sources, as well as modelling of the level to which objects are affected by hidden, blended contaminants, macauff provides posterior probabilities of “many-to-many” matches and non-matches between the two catalogues being counterparts to one another. It also provides numerous secondary parameters, such as the level to which sources are flux contaminated, and the probability of their suffering blended by a source of a given flux ratio.
Installation¶
The instructions for installing macauff can be found here.
Quick Start¶
A quick-start guide is available here.
Input Parameters¶
Input parameters are detailed on this page.
User Documentation¶
Pre- and Post-Processing¶
How to prepare a particular dataset for cross-matching, initialise certain algorithmic aspects, and create final composite catalogues after matching check the Processing section.
Algorithmic Details¶
For specific implementation details and the mathematics used in macauff, see the algorithms page.
Notebooks¶
For specific use cases, see the notebooks page.