PulsarX: a new pulsar searching package -I. A high performance folding program for pulsar surveys
Yunpeng Men, Ewan Barr, C. J. Clark, Emma Carli, Gregory Desvignes

TL;DR
PulsarX introduces a high-performance pulsar searching pipeline that optimizes candidate folding using novel algorithms, significantly reducing computational costs and enhancing real-time survey capabilities with applications to MeerKAT data.
Contribution
The paper presents the pruned FDMT algorithm and a Tikhonov-regularised folding method, improving efficiency and resolution in pulsar candidate processing for large-scale surveys.
Findings
Reduced dedispersion operations by a factor of 50 for 500 candidates
Implemented successful real-world application with MeerKAT surveys
Enhanced time resolution of pulsar profiles using TLSM
Abstract
Pulsar surveys with modern radio telescopes are becoming increasingly computationally demanding. This is particularly true for wide field-of-view pulsar surveys with radio interferometers, and those conducted in real or quasi-real time. These demands result in data analysis bottlenecks that can limit the parameter space covered by the surveys and diminish their scientific return. In this paper, we address the computational challenge of `candidate folding' in pulsar searching, presenting a novel, efficient approach designed to optimise the simultaneous folding of large numbers of pulsar candidates. We provide a complete folding pipeline appropriate for large-scale pulsar surveys including radio frequency interference (RFI) mitigation, dedispersion, folding and parameter optimization. By leveraging the Fast Discrete Dispersion Measure Transform (FDMT) algorithm proposed by Zackay et al.…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Pulsars and Gravitational Waves Research · Soil Moisture and Remote Sensing
