REFITT is an autonomous machine learning system that yields optimal observing strategies in real time to participating facilities, instruments, and astronomers. It subscribes to LSST data brokers and forecasts supernova light curves. Recommendations are created for individual subscribers based on availability and capability.

REFITT is not a meant as a public tool, yet it's construction and administration are made available for transparency and understanding. It's open REST API is documented, making it possible to automate the use of REFITT without needing to interact with the web interface.

An overview of the system, configuration and deployment instructions, and other documentation can be found online at refitt.readthedocs.io.

We welcome feedback as well as contributions to the code and documentation. If you are here to report a bug, please create an Issue here on github.com/refitt/refitt. Before opening a Pull Request, we ask that you read our contributing guidelines.

References, citations, and acknowledgments will be updated here.