Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy

Micah Bowles; Hongming Tang; Eleni Vardoulaki; Emma L. Alexander; Yan Luo; Lawrence Rudnick; Mike Walmsley; Fiona Porter; Anna M. M. Scaife; Inigo Val Slijepcevic; Elizabeth A. K. Adams; Alexander Drabent; Thomas Dugdale; Gülay Gürkan; Andrew M. Hopkins; Eric F. Jimenez-Andrade; Denis A. Leahy; Ray P. Norris; Syed Faisal ur Rahman; Xichang Ouyang; Gary Segal; Stanislav S. Shabala; O. Ivy Wong

doi:10.1093/mnras/stad1021

Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy

Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Elizabeth A. K. Adams, Alexander Drabent, Thomas Dugdale, Gülay Gürkan, Andrew M. Hopkins, Eric F. Jimenez-Andrade, Denis A. Leahy, Ray P. Norris, Syed Faisal ur Rahman, Xichang OuyangGary Segal, Stanislav S. Shabala, O. Ivy Wong

Mechanical And Aerospace Engineering

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Abstract

We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We address the limitations of common radio galaxy morphology classifications by applying this approach. We experimentally derive a set of semantic tags for the Radio Galaxy Zoo EMU (Evolutionary Map of the Universe) project and the wider astronomical community. We collect 8,486 plain English annotations of radio galaxy morphology, from which we derive a taxonomy of tags. The tags are plain English. The result is an extensible framework which is more flexible, more easily communicated, and more sensitive to rare feature combinations which are indescribable using the current framework of radio astronomy classifications.

Original language	English
Pages (from-to)	2584-2600
Number of pages	17
Journal	Monthly Notices of the Royal Astronomical Society
Volume	522
Issue number	2
Early online date	11 Apr 2023
DOIs	https://doi.org/10.1093/mnras/stad1021
Publication status	Published - Jun 2023

Funding

MB, MW, ELA, AMS, and IVS gratefully acknowledge support from the UK Alan Turing Institute under grant reference EP/V030302/1. HT gratefully acknowledges the support from the Shuimu Tsinghua Scholar Program of Tsinghua University. EV acknowledges support by the Carl Zeiss Stiftung with the project code KODAR. ELA additionally gratefully acknowledges support from the UK Science & Technology Facilities Council (STFC) under grant reference ST/P000649/1. AD acknowledges support by the BMBF Verbundforschung under the grant 05A20STA. DL acknowledges support from the Natural Sciences and Engineering Research Council of Canada.

Keywords

astro-ph.GA
astro-ph.IM
standards
methods: statistical
catalogues
galaxies: statistics
radio continuum: galaxies

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10.1093/mnras/stad1021Licence: CC BY 4.0

Bowles-et-al-Radio-Galaxy-Zoo-EMUFinal published version, 1.99 MBLicence: CC BY 4.0

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Bowles, M., Tang, H., Vardoulaki, E., Alexander, E. L., Luo, Y., Rudnick, L., Walmsley, M., Porter, F., Scaife, A. M. M., Slijepcevic, I. V., Adams, E. A. K., Drabent, A., Dugdale, T., Gürkan, G., Hopkins, A. M., Jimenez-Andrade, E. F., Leahy, D. A., Norris, R. P., Rahman, S. F. U., ... Wong, O. I. (2023). Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy. Monthly Notices of the Royal Astronomical Society, 522(2), 2584-2600. https://doi.org/10.1093/mnras/stad1021

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abstract = " We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We address the limitations of common radio galaxy morphology classifications by applying this approach. We experimentally derive a set of semantic tags for the Radio Galaxy Zoo EMU (Evolutionary Map of the Universe) project and the wider astronomical community. We collect 8,486 plain English annotations of radio galaxy morphology, from which we derive a taxonomy of tags. The tags are plain English. The result is an extensible framework which is more flexible, more easily communicated, and more sensitive to rare feature combinations which are indescribable using the current framework of radio astronomy classifications. ",

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author = "Micah Bowles and Hongming Tang and Eleni Vardoulaki and Alexander, \{Emma L.\} and Yan Luo and Lawrence Rudnick and Mike Walmsley and Fiona Porter and Scaife, \{Anna M. M.\} and Slijepcevic, \{Inigo Val\} and Adams, \{Elizabeth A. K.\} and Alexander Drabent and Thomas Dugdale and G{\"u}lay G{\"u}rkan and Hopkins, \{Andrew M.\} and Jimenez-Andrade, \{Eric F.\} and Leahy, \{Denis A.\} and Norris, \{Ray P.\} and Rahman, \{Syed Faisal ur\} and Xichang Ouyang and Gary Segal and Shabala, \{Stanislav S.\} and Wong, \{O. Ivy\}",

year = "2023",

month = jun,

doi = "10.1093/mnras/stad1021",

language = "English",

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Bowles, M, Tang, H, Vardoulaki, E, Alexander, EL, Luo, Y, Rudnick, L, Walmsley, M, Porter, F, Scaife, AMM, Slijepcevic, IV, Adams, EAK, Drabent, A, Dugdale, T, Gürkan, G, Hopkins, AM, Jimenez-Andrade, EF, Leahy, DA, Norris, RP, Rahman, SFU, Ouyang, X, Segal, G, Shabala, SS & Wong, OI 2023, 'Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy', Monthly Notices of the Royal Astronomical Society, vol. 522, no. 2, pp. 2584-2600. https://doi.org/10.1093/mnras/stad1021

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AU - Bowles, Micah

AU - Tang, Hongming

AU - Vardoulaki, Eleni

AU - Alexander, Emma L.

AU - Luo, Yan

AU - Rudnick, Lawrence

AU - Walmsley, Mike

AU - Porter, Fiona

AU - Scaife, Anna M. M.

AU - Slijepcevic, Inigo Val

AU - Adams, Elizabeth A. K.

AU - Drabent, Alexander

AU - Dugdale, Thomas

AU - Gürkan, Gülay

AU - Hopkins, Andrew M.

AU - Jimenez-Andrade, Eric F.

AU - Leahy, Denis A.

AU - Norris, Ray P.

AU - Rahman, Syed Faisal ur

AU - Ouyang, Xichang

AU - Segal, Gary

AU - Shabala, Stanislav S.

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AB - We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We address the limitations of common radio galaxy morphology classifications by applying this approach. We experimentally derive a set of semantic tags for the Radio Galaxy Zoo EMU (Evolutionary Map of the Universe) project and the wider astronomical community. We collect 8,486 plain English annotations of radio galaxy morphology, from which we derive a taxonomy of tags. The tags are plain English. The result is an extensible framework which is more flexible, more easily communicated, and more sensitive to rare feature combinations which are indescribable using the current framework of radio astronomy classifications.

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KW - astro-ph.IM

KW - standards

KW - methods: statistical

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JF - Monthly Notices of the Royal Astronomical Society

IS - 2

ER -

Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy

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