Many astronomical programs need to coordinate follow up observations of astronomical targets and events, and to visualize and explore the associated data. An ecosystem of services and tools is developing to meet this need, with alert brokers classifying discoveries from large surveys, TOM systems to coordinate observations and analyze follow-up data, TreasureMap to visualize and coordinate observing plans, and HERMES to send human and machine-readable messages. With modern surveys, like the Zwicky Transient Facility and soon, the Rubin Observatory’s Legacy Survey of Space and Time (LSST), producing millions of discovery alerts per night, this is becoming challenging, especially for transient science. Time is often of the essence to gather information on new discoveries and coordinate follow-up observations. Software that can manage this data flow has proven extremely powerful for science projects, large and small, but they can be difficult and time consuming to develop from scratch.
In this workshop, you’ll have a chance to learn about the open source tools available to help you run your science program, and get the greatest science return from Big Data discovery engines.