ICTS:32936

Candidate optimiser for FRB classification with the SPOTLIGHT

(2025). Candidate optimiser for FRB classification with the SPOTLIGHT. SciVideos. https://scivideos.org/index.php/icts-tifr/32936

Candidate optimiser for FRB classification with the SPOTLIGHT. SciVideos, Oct. 10, 2025, https://scivideos.org/index.php/icts-tifr/32936 

          @misc{ scivideos_ICTS:32936,
            doi = {},
            url = {https://scivideos.org/index.php/icts-tifr/32936},
            author = {},
            keywords = {},
            language = {en},
            title = {Candidate optimiser for FRB classification with the SPOTLIGHT},
            publisher = {},
            year = {2025},
            month = {oct},
            note = {ICTS:32936 see, \url{https://scivideos.org/index.php/icts-tifr/32936}}
          }
Kshitij Bane
Talk numberICTS:32936
Source RepositoryICTS-TIFR

Abstract

The SPOTLIGHT system is a real-time system developed for the upgraded GMRT, designed to capture and localize fast radio transients with high time and frequency resolution. It comprises a GPU-based search engine that performs real-time dedispersion and single-pulse
detection across multiple beams, followed by a triggering system that initiates voltage capture and high-resolution imaging for candidate localization. A critical component of this pipeline is the “candidate optimiser,” which is responsible for sifting through thousands of candidates generated every observing session. The optimiser employs a combination of clustering,
coincidence and anticoincidence filtering and machine learning-based classification to identify true astrophysical signals while discarding RFI and other false positives. This enables efficient use of computational resources and ensures timely triggering for follow-up observations. Here we describe the design, implementation, and performance of the candidate optimiser, and
highlights its key role in enhancing the reliability of FRB searches with SPOTLIGHT.