HoloSim-ML performs beam simulation and analysis of radio holography data from complex optical systems. The code uses machine learning to efficiently determine the position of hundreds of mirror adjusters on multiple mirrors with few micron accuracy.

The TOAST software framework simulates and processes timestream data collected by telescopes. The framework can distribute data among many processes and perform operations on the local pieces of the data, and has generic operators for common processing tasks such as filtering, pointing expansion, and map-making. In addition to offering I/O for a limited set of formats, it provides well-defined interfaces for adding custom I/O classes and processing operators. TOAST is written in C++ with a public Python interface, and contains utilities for controlling the runtime environment, logging, timing, streamed random number generation, quaternion operations, FFTs, and special function evaluation.