Code and algorithms currently used for time domain analysis are computationally intensive and typically implemented in an interpreted language. There is a need for algorithmic improvements within a modern, cloud based computing environment, e.g. exploiting technologies such as Apache SPARK to provide parallelism, performance and fault-tolerance. The student will be tasked to do this and thereby gain exposure to the most up-to-date techniques as well as participating in LSST science.
Student: Tricia Sullivan
Supervisor: Iain Steele
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