Kernuller builds upon the foundation layed out by Martinache & Ireland 2018, and includes the generative designs proposed by Laugier et al. 2020 (in prep.). In particular, it allows to create of kernel-nulling objexts that are based upon matrices defined in symbolic math, and the matrix A of second order derivatives.
It also allows to plot complex matrices such as optical combiner matrices in the style proposed in Laugier et al. 2020 (in prep.), as well as to map the response map of interferometers to on-sky signal.
sympy tqdm lmfit
This is not a stable release. Interfaces of methods will evolve.
kernuller is a development carried out in the context of the KERNEL project. KERNEL has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement CoG - 683029). For more information about the KERNEL project, visit: http://frantzmartinache.eu/index.php/category/kernel/