ICTS:32996

Pulsar Searches in the GHRSS Survey: Pipeline Enhancements, Machine Learning, and FFA Techniques

(2025). Pulsar Searches in the GHRSS Survey: Pipeline Enhancements, Machine Learning, and FFA Techniques. SciVideos. https://scivideos.org/index.php/icts-tifr/32996

Pulsar Searches in the GHRSS Survey: Pipeline Enhancements, Machine Learning, and FFA Techniques. SciVideos, Oct. 17, 2025, https://scivideos.org/index.php/icts-tifr/32996 

          @misc{ scivideos_ICTS:32996,
            doi = {},
            url = {https://scivideos.org/index.php/icts-tifr/32996},
            author = {},
            keywords = {},
            language = {en},
            title = {Pulsar Searches in the GHRSS Survey: Pipeline Enhancements, Machine Learning, and FFA Techniques},
            publisher = {},
            year = {2025},
            month = {oct},
            note = {ICTS:32996 see, \url{https://scivideos.org/index.php/icts-tifr/32996}}
          }
Sapan Kumar Sahoo
Talk numberICTS:32996
Source RepositoryICTS-TIFR

Abstract

The GMRT High Resolution Southern Sky (GHRSS) survey aims to uncover new pulsars and transients at low radio frequencies (Band 3 of GMRT at 400 MHz ) with high time (81.92 microsec) and frequency resolution. In this talk, I will present recent developments in the GHRSS data processing pipeline to improve the efficiency and depth of pulsar searches. Key upgrades include the implementation of an adaptive dispersion measure (DM) stepping strategy to optimize sensitivity across a wide DM range, and the integration of a machine learning-based candidate classification system to automate and refine candidate selection. Additionally, I will discuss the application of the Fast Folding Algorithm (FFA) to the GHRSS data, targeting the discovery of long-period pulsars often missed in conventional FFT-based searches. These advancements, along with new observational efforts, significantly strengthen the GHRSS survey’s capabilities in probing the pulsar population of the Southern sky.