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Here we present an in-depth study of the behaviour of the Fast FoldingAlgorithm, an alternative pulsar searching technique to the Fast FourierTransform. Weaknesses in the Fast Fourier Transform, including a susceptibilityto red noise, leave it insensitive to pulsars with long rotational periods (P >1 s). This sensitivity gap has the potential to bias our understanding of theperiod distribution of the pulsar population. The Fast Folding Algorithm, atime-domain based pulsar searching technique, has the potential to overcomesome of these biases. Modern distributed-computing frameworks now allow for theapplication of this algorithm to all-sky blind pulsar surveys for the firsttime. However, many aspects of the behaviour of this search technique remainpoorly understood, including its responsiveness to variations in pulse shapeand the presence of red noise. Using a custom CPU-based implementation of theFast Folding Algorithm, ffancy, we have conducted an in-depth study into thebehaviour of the Fast Folding Algorithm in both an ideal, white noise regime aswell as a trial on observational data from the HTRU-S Low Latitude pulsarsurvey, including a comparison to the behaviour of the Fast Fourier Transform.We are able to both confirm and expand upon earlier studies that demonstratethe ability of the Fast Folding Algorithm to outperform the Fast FourierTransform under ideal white noise conditions, and demonstrate a significantimprovement in sensitivity to long-period pulsars in real observational datathrough the use of the Fast Folding Algorithm.

An investigation of pulsar searching techniques with the Fast Folding Algorithm