The “SPectrogram Analysis and Cataloguing Environment” (SPACE) labelling tool
The “SPectrogram Analysis and Cataloguing Environment” (SPACE) labelling tool
The SPectrogram Analysis and Cataloguing Environment (SPACE) tool is an interactive python tool designed to label radio emission features of interest in a time-frequency map (called “dynamic spectrum”). The program uses Matplotlib’s Polygon Selector widget to allow a user to select and edit an undefined number of vertices on top of the dynamic spectrum before closing the shape (polygon). Multiple polygons may be drawn on any spectrum, and the feature name along with the coordinates for each polygon vertex are saved into a “.json” file as per the “Time-Frequency Catalogue” (TFCat) format along with other data such as the feature id, observer name, and data units. This paper describes the first official stable release (version 2.0) of the tool.
Louis, Corentin
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Jackman, Caitriona
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Mangham, Sam
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Smith, Kevin
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O’dwyer, Elizabeth
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Empey, Aaron
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Cecconi, Baptiste
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Boudouma, Adam
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Zarka, Philippe
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Maloney, Shane
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14 November 2022
Louis, Corentin
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Jackman, Caitriona
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Mangham, Sam
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Smith, Kevin
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O’dwyer, Elizabeth
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Empey, Aaron
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Cecconi, Baptiste
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Boudouma, Adam
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Zarka, Philippe
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Maloney, Shane
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Louis, Corentin, Jackman, Caitriona, Mangham, Sam, Smith, Kevin, O’dwyer, Elizabeth, Empey, Aaron, Cecconi, Baptiste, Boudouma, Adam, Zarka, Philippe and Maloney, Shane
(2022)
The “SPectrogram Analysis and Cataloguing Environment” (SPACE) labelling tool.
Frontiers in Astronomy and Space Sciences, 9.
(doi:10.3389/fspas.2022.1001166).
Abstract
The SPectrogram Analysis and Cataloguing Environment (SPACE) tool is an interactive python tool designed to label radio emission features of interest in a time-frequency map (called “dynamic spectrum”). The program uses Matplotlib’s Polygon Selector widget to allow a user to select and edit an undefined number of vertices on top of the dynamic spectrum before closing the shape (polygon). Multiple polygons may be drawn on any spectrum, and the feature name along with the coordinates for each polygon vertex are saved into a “.json” file as per the “Time-Frequency Catalogue” (TFCat) format along with other data such as the feature id, observer name, and data units. This paper describes the first official stable release (version 2.0) of the tool.
Text
fspas-09-1001166
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Accepted/In Press date: 21 October 2022
e-pub ahead of print date: 14 November 2022
Published date: 14 November 2022
Identifiers
Local EPrints ID: 476474
URI: http://eprints.soton.ac.uk/id/eprint/476474
ISSN: 2296-987X
PURE UUID: a86c4323-5baa-4e9e-b9f1-75a43644ab71
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Date deposited: 03 May 2023 17:04
Last modified: 17 Mar 2024 01:58
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Contributors
Author:
Corentin Louis
Author:
Sam Mangham
Author:
Kevin Smith
Author:
Elizabeth O’dwyer
Author:
Aaron Empey
Author:
Baptiste Cecconi
Author:
Adam Boudouma
Author:
Philippe Zarka
Author:
Shane Maloney
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