A Fourier Domain "Jerk" Search for Binary Pulsars
Bridget C. Andersen, Scott M. Ransom

TL;DR
This paper introduces a Fourier domain 'jerk' search algorithm to improve detection sensitivity of binary pulsars with significant orbital acceleration changes, demonstrated by discovering a new pulsar in a relativistic orbit.
Contribution
The paper develops and implements a Fourier domain jerk search algorithm extending the FDAS to account for linearly changing acceleration, enhancing binary pulsar detection capabilities.
Findings
Jerk search improves sensitivity for binaries with short observation durations.
The algorithm detects a new highly-accelerated pulsar, Ter5am, in a relativistic orbit.
Jerk search has longer runtime but better detection of certain binary pulsars.
Abstract
While binary pulsar systems are fantastic laboratories for a wide array of astrophysics, they are particularly difficult to detect. The orbital motion of the pulsar changes its apparent spin frequency over the course of an observation, essentially "smearing" the response of the time series in the Fourier domain. We review the Fourier domain acceleration search (FDAS), which uses a matched filtering algorithm to correct for this smearing by assuming constant acceleration for a small enough portion of the orbit. We discuss the theory and implementation of a Fourier domain "jerk" search, developed as part of the \textsc{PRESTO} software package, which extends the FDAS to account for a linearly changing acceleration, or constant orbital jerk, of the pulsar. We test the performance of our algorithm on archival Green Bank Telescope observations of the globular cluster Terzan~5, and show that…
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