Real-time data analysis

In some projects, data needs to be processed when it comes in, instead of storing it first. An example of a field where this is the case is astronomy, where observations come in at Terabytes or even Petabytes per second, and need significant processing before they can be used in research. Moving or storing such volumes of data is infeasible with current technology, so a big part of the processing needs to be done at the sensors.

At the eScience Center we work on such real-time solutions, for example for RFI mitigation (removing radio frequency interference from earth-based transmitters like mobile phones).