Speaker
Description
Modern radio astronomy is a data-intensive field with high discovery potential, operating with both large data volumes and high-rate data streams. As is the case in some other fields, not all data in radio astronomy are scientifically useful due to the constant presence of noise. The challenge of detecting signals in the presence of noise has been extensively investigated in the context of signal processing for radars and sonars. The solution to this problem forms the basis of the classical theory of optimal detection. This theory provides a clear mathematical framework for signal processing that attains the minimal possible detection threshold, thereby gathering useful information from data in the most efficient way. Nevertheless, this theory has not been extensively explored in the context of radio astronomy. This presentation will provide an overview of the classical theory of optimal signal detection and illustrate how it can serve as a guiding framework for the development of efficient data analysis techniques for the current and future generations of radio astronomy instrumentation.
| What is your career stage? | Non-tenured scientist (post PhD) |
|---|---|
| Which telescopes do you use / are you affiliated with? | MeerKAT |
