This package implements the XNICER algorithm (Lombardi 2018, A&A vol. 615, id.A174), an optimized multi-band extinction technique based on the extreme deconvolution of the intrinsic colors of objects observed through a molecular cloud. XNICER follows a rigorous statistical approach and provides the full Bayesian inference of the extinction for each observed object. Photometric errors in both the training control field and in the science field are properly taken into account.
The code also implements XNICEST, a version of XNICER that takes into accounts the effects of differential extinction (i.e., unresolved inhomogeneities in the extinction pattern) and foreground objects.
Ancillary code for the creation of registered extinction maps is also provided.
For a complete use-case see the example.ipynb notebook file.