English

The SPOTLIGHT Pulsar Search Pipeline: A GPU-Accelerated FFT Approach

High Energy Astrophysical Phenomena 2026-07-09 v1

Abstract

We present the pulsar search component of SPOTLIGHT (Survey for sPoradic radiO bursTs via a commensaL multI-beam Gpu-powered Hpc at the gmrT), a GPU-accelerated commensal backend operating at the upgraded Giant Metrewave Radio Telescope (uGMRT). While SPOTLIGHT is primarily designed for real-time detection and localisation of fast radio bursts (FRBs), it simultaneously records a subset of beamformed data products for periodicity searches without requiring dedicated telescope time. To process the large data volumes generated by the survey, we have developed a scalable FFT-based pulsar search pipeline that combines radio-frequency interference mitigation, GPU-accelerated dedispersion and periodicity searches, multi-beam candidate sifting, efficient folding and machine-learning classification. Using population synthesis and archival uGMRT observations, we estimate that a fully operational SPOTLIGHT survey with 160 PC and one IA beam could discover \sim 450 new pulsars, probing both high-sky coverage and faint pulsars over three and a half years of commensal observations. The pipeline has been validated on GMRT Cycle 48 and 49 observations (i.e. April 2025 to Mar 2026), successfully re-detecting numerous known pulsars with a wide range of Period, DM and flux densities, and is currently operational for SPOTLIGHT commensal data processing. We describe the SPOTLIGHT observing system, pulsar survey design, search parameter space, candidate-selection strategy, current status, and future developments. SPOTLIGHT demonstrates the scientific potential of commensal pulsar surveys and serves as a pathfinder for real-time, large-scale pulsar and transient searches in the SKA era.

Keywords

Cite

@article{arxiv.2607.08854,
  title  = {The SPOTLIGHT Pulsar Search Pipeline: A GPU-Accelerated FFT Approach},
  author = {Jyotirmoy Das and Jayanta Roy and Nishant Pradeep Deo and Karel Adámek and Wes Armour and Kshitij Bane and Jayaram Chengalur and Kenil Ajudiya and Chahat Dudeja and Sridhar Gajendran and Zhaocheng Gong and Param Joshi and Sanjay Kudale and Arpan Pal and Ujjwal Panda and Adityan S and Raghav Wani and Junhao Zhang and Deepak Bhong and Shelton Gnanaraj and Santaji N. Katore and Mekhala Muley and Harshavardhan Reddy},
  journal= {arXiv preprint arXiv:2607.08854},
  year   = {2026}
}

Comments

15 pages and 8 figures; Submitted to Astrophysical Journal (ApJ)