2025
FRB candidate optimizer for SPOTLIGHT, enabling real-time commensal searches
BANE, Kshitij; Jyotirmoy DAS; Arpan PAL; Ujjwal PANDA; Deepak BHONG et al.Basic information
Original name
FRB candidate optimizer for SPOTLIGHT, enabling real-time commensal searches
Authors
BANE, Kshitij; Jyotirmoy DAS; Arpan PAL; Ujjwal PANDA; Deepak BHONG; Santaji N. KATORE; Sanjay S. KUDALE; Mekhala MULEY; S Harshavardhan REDDY; Jayanta ROY; Jayaram CHENGALUR; Karel ADÁMEK; Kenil AJUDIYA; Wes ARMOUR; Siddhartha BHATTACHARYYA; Ritavash DEBNATH; Nishant P. DEO; Chahat DUDEJA; Shelton GNANARAJ; Ajith KUMAR; Sangita KUMARI; Shilkumar MESHRAM; Raghav WANI; Bhaswati BHATTACHARYYA; Yash BHUSARE; Ankita GHOSH; Ruta KALE; Ajay KUMAR; Banshi LAL; Krishnakumar MA; Yogesh MAAN; Puja MAJEE; Visweshwar RAM; Ram MARTHI; Sapan Kumar SAHOO; Saptarshi SARKAR and Rahul SHARAN
Edition
Washington, 2025 URSI Asia-Pacific Radio Science Meeting, AP-RASC 2025, p. "213575-1"-"213575-4", 4 pp. 2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
10308 Astronomy
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
References:
Marked to be transferred to RIV
Yes
Organization unit
Institute of physics in Opava
ISBN
978-94-63968-15-7
EID Scopus
2-s2.0-105019921181
Keywords in English
Domain detections; Field of views; Localisation; Optimizers; Petaflops; Radio bursts; Radio pulsars; Real- time; Second imaging; Time domain
Changed: 17/2/2026 13:05, Mgr. Pavlína Jalůvková
Abstract
In the original language
The SPOTLIGHT project is a commensal survey for Fast Radio Bursts (FRBs) and pulsars at the uGMRT using real-time HPC and AI for simultaneous time-domain detection and arc-second imaging localisation across 300 to 1460 MHz. FRBs are searched within 2,000 post-correlation beams steered across the Field of View (FoV), with SPOTLIGHT leveraging its PetaFlops of computing power to process PetaBytes of data per day in real time. The AI-powered trigger for genuine astronomical signals enables capturing voltage samples spanning the burst duration to study the spectro-temporal-polarimetric properties at microsecond time resolution as well as high-time resolution visibility for event localisation. With an unprecedented sensitivity, SPOTLIGHT is expected to find hundreds of localised FRBs. This paper presents the FRB candidate optimiser for SPOTLIGHT's FRB detection pipeline, which incorporates candidate clustering, classification, and triggering for visibility and raw voltage recording.