Candidate Optimiser for FRB Classification with the SPOTLIGHT

Explore a conference talk on developing candidate optimization techniques for Fast Radio Burst (FRB) classification using the SPOTLIGHT survey system. Learn about advanced algorithms and methodologies designed to improve the identification and classification of FRB candidates from the Giant Metrewave Radio Telescope's commensal survey program. Discover how machine learning and optimization techniques are being applied to enhance the detection efficiency and reduce false positives in fast radio transient searches. Understand the technical challenges involved in processing large-scale radio astronomy data and the innovative solutions being developed to advance FRB research through the SPOTLIGHT project's comprehensive sky monitoring capabilities.