A signal dedispersion algorithm for imaging-based transient searches
Cristian Di Pietrantonio, Marcin Sokolowski, Christopher Harris, Danny C. Price, Randall Wayth

TL;DR
The paper presents STRIDE, a novel streaming dedispersion algorithm for radio transient imaging that significantly reduces memory usage and enables efficient processing of high-resolution interferometric data.
Contribution
STRIDE introduces a streaming, incremental dedispersion method that partitions the dispersive sweep over time, avoiding expensive data manipulations and reducing memory requirements.
Findings
Reduces memory requirement by 97.9% in tests
Enables processing of high time-resolution interferometric images
Suitable for low-frequency radio transient searches
Abstract
Dedispersion is the computational process of correcting for the frequency-dependent time delay affecting a radio signal that propagates through the interstellar and intergalactic media. It is a crucial component of transient search pipelines that maximises the signal-to-noise ratio, especially when targeting highly dispersed signals: for instance, pulsar emissions making their way through a dense cloud of ionised gas, and fast radio bursts travelling cosmological distances. This paper introduces Streaming high Time-Resolution Imaging DEdispersion (STRIDE), a novel dedispersion algorithm to generate per-pixel dedispersed time series from high time and frequency resolution interferometric images. Unlike straightforward approaches to image dedispersion, STRIDE does not involve expensive manipulation of the input data layout, such as explicitly building dynamic spectra or shifting images.…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Superconducting and THz Device Technology · Astrophysics and Cosmic Phenomena
