M. Purver
Removal and replacement of interference in tied-array radio pulsar observations using the spectral kurtosis estimator
Purver, M.; Bassa, C. G.; Cognard, I.; Janssen, G. H.; Karuppusamy, R.; Kramer, M.; Lee, K. J.; Liu, K.; McKee, J. W.; Perrodin, D.; Sanidas, S.; Smits, R.; Stappers, B. W.
Authors
C. G. Bassa
I. Cognard
G. H. Janssen
R. Karuppusamy
M. Kramer
K. J. Lee
K. Liu
Dr James McKee J.W.McKee@hull.ac.uk
Lecturer
D. Perrodin
S. Sanidas
R. Smits
B. W. Stappers
Abstract
We describe how to implement the spectral kurtosis method of interference removal (zapping) on a digitized signal of averaged power values. Spectral kurtosis is a hypothesis test, analogous to the t-test, with a null hypothesis that the amplitudes from which power is formed belong to a 'good' distribution - typically Gaussian with zero mean - where power values are zapped if the hypothesis is rejected at a specified confidence level. We derive signal-to-noise ratios (SNRs) as a function of amount of zapping for folded radio pulsar observations consisting of a sum of signals from multiple telescopes in independent radio-frequency interference environments, comparing four methods to compensate for lost data with coherent (tied-array) and incoherent summation. For coherently summed amplitudes, scaling amplitudes from non-zapped telescopes achieves a higher SNR than replacing zapped amplitudes with artificial noise. For incoherently summed power values, the highest SNR is given by scaling power from non-zapped telescopes to maintain a constant mean. We use spectral kurtosis to clean a tied-array radio pulsar observation by the Large European Array for Pulsars: the signal from one telescope is zapped with time and frequency resolutions of $6.25\, \mathrm{ms}$ and $0.16\, \mathrm{MHz}$, removing interference, along with 0.27 per cent of 'good' data, giving an uncertainty of $0.25\, \mathrm{\mu \mathrm{ s}}$ in pulse time of arrival (TOA) for PSR J1022+1001. We use a single-telescope observation to demonstrate recovery of the pulse profile shape, with 0.6 per cent of data zapped and a reduction from 1.22 to $0.70\, \mathrm{\mu \mathrm{ s}}$ in TOA uncertainty.
Citation
Purver, M., Bassa, C. G., Cognard, I., Janssen, G. H., Karuppusamy, R., Kramer, M., …Stappers, B. W. (2022). Removal and replacement of interference in tied-array radio pulsar observations using the spectral kurtosis estimator. Monthly notices of the Royal Astronomical Society, 510(2), 1597-1611. https://doi.org/10.1093/mnras/stab3434
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 22, 2021 |
Online Publication Date | Nov 27, 2021 |
Publication Date | Feb 1, 2022 |
Deposit Date | Nov 29, 2022 |
Journal | Monthly Notices of the Royal Astronomical Society |
Print ISSN | 0035-8711 |
Electronic ISSN | 1365-2966 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 510 |
Issue | 2 |
Pages | 1597-1611 |
DOI | https://doi.org/10.1093/mnras/stab3434 |
Public URL | https://hull-repository.worktribe.com/output/4134748 |
You might also like
Probing the Local Interstellar Medium with Scintillometry of the Bright Pulsar B1133 + 16
(2022)
Journal Article
The CHIME Pulsar Project: System Overview
(2021)
Journal Article
CHIME Discovery of a Binary Pulsar with a Massive Nondegenerate Companion
(2023)
Journal Article
A millisecond pulsar in an extremely wide binary system
(2016)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search