# EOVSA Implementation of a Spectral Kurtosis Correlator for Transient   Detection and Classification

**Authors:** Gelu M. Nita, Jack Hickish, David MacMahon, Dale E. Gary

arXiv: 1702.05391 · 2017-02-20

## TL;DR

This paper details the implementation of a Spectral Kurtosis (SK) correlator in the EOVSA array, enabling effective transient detection and RFI discrimination through firmware modifications and theoretical validation.

## Contribution

It introduces the first SK-enabled firmware in a digital FX correlator for EOVSA, with a generalized SK theory applicable to various spectrometers and practical methods for RFI detection.

## Key findings

- EOVSA's SK correlator performance matches theoretical predictions
- Methods for configuring SK operation in the correlator are provided
- SK effectively discriminates RFI contamination in astronomical data

## Abstract

We describe in general terms the practical use in astronomy of a higher-order statistical quantity called Spectral Kurtosis (SK), and describe the first implementation of SK-enabled firmware in the F-engine (Fourier transform-engine) of a digital FX correlator for Expanded Owens Valley Solar Array (EOVSA). The development of the theory for SK is summarized, leading to an expression for generalized SK that is applicable to both SK spectrometers and those not specifically designed for SK. We also give the means for computing both the SK estimator and thresholds for its application as a discriminator of RFI contamination. Tests of the performance of EOVSA as an SK spectrometer are shown to agree precisely with theoretical expectations, and the methods for configuring the correlator for correct SK operation are described.

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/1702.05391/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/1702.05391/full.md

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Source: https://tomesphere.com/paper/1702.05391