TY - JOUR
T1 - Radio galaxy zoo EMU
T2 - Towards a semantic radio galaxy morphology taxonomy
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 - ur Rahman, Syed Faisal
AU - Ouyang, Xichang
AU - Segal, Gary
AU - Shabala, Stanislav S.
AU - Wong, O. Ivy
N1 - Funding Information:
The Australian SKA Pathfinder is part of the Australia Telescope National Facility, which is managed by CSIRO. Operation of ASKAP is funded by the Australian Government with support from the National Collaborative Research Infrastructure Strategy. ASKAP uses the resources of the Pawsey Supercomputing Centre. Establishment of ASKAP, the Murchison Radio-astronomy Observatory, and the Pawsey Supercomputing Centre are initiatives of the Australian Government, with support from the Government of Western Australia and the Science and Industry Endowment Fund. We acknowledge the Wajarri Yamatji as the traditional owners of the Observatory site.
Funding Information:
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.
Funding Information:
This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.
Funding Information:
This project used public archival data from the DES. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft, and the Collaborating Institutions in the DES.
Publisher Copyright:
© 2023 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.
PY - 2023/6
Y1 - 2023/6
N2 - 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 8486 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.
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 8486 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.
KW - galaxies
KW - standards-methods
KW - statistical-catalogues-galaxies
KW - statistics-radio continuum
UR - http://www.scopus.com/inward/record.url?scp=85161518207&partnerID=8YFLogxK
U2 - 10.1093/mnras/stad1021
DO - 10.1093/mnras/stad1021
M3 - Article
AN - SCOPUS:85161518207
SN - 0035-8711
VL - 522
SP - 2584
EP - 2600
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 2
ER -