ADS Library

All EMU publications (refereed articles, conference proceedings, catalogues, and software) can be accessed through dedicated ADS Library: EMU Publication List on ads.

Science Publications (refereed)

Refereed journal articles authored by the members of the EMU team, and based on the EMU survey (methods) and EMU survey data (observations):

Lazarevic et al. (2024) "Fast as Potoroo: Radio continuum detection of a bow-shock pulsar wind nebula powered by pulsar J1638-4713"

Gupta et al. (2024) "RG-CAT: Detection pipeline and catalogue of radio galaxies in the EMU pilot survey"

Ahmed et al. (2024) "EMU/GAMA: Radio-detected galaxies are more obscured than optically selected galaxies"

Burger-Scheidlin et al. (2024) "Gamma-ray detection of newly discovered Ancora supernova remnant: G288.8-6.3"

Prathap et al. (2024) "EMU/GAMA: A technique for detecting active galactic nuclei in low mass systems"

Duchesne et al. (2024) "Evolutionary Map of the Universe (EMU): A pilot search for diffuse, non-thermal radio emission in galaxy clusters with the Australian SKA Pathfinder "

Gupta et al. (2024) "RadioGalaxyNET: Dataset and novel computer vision algorithms for the detection of extended radio galaxies and infrared hosts"

Filipovic et al. (2023) "EMU Detection of a Large and Low Surface Brightness Galactic SNR G288.8-6.3"

Gupta et al. (2023) "Deep learning for morphological identification of extended radio galaxies using weak labels"

Ball et al. (2023) "A catalogue of radio supernova remnants and candidate supernova remnants in the EMU/POSSUM Galactic pilot field"

Bockman et al. (2023) "Central radio galaxies in galaxy clusters: Joint surveys by eROSITA and ASKAP"

Luken et al. (2023) "Measuring photometric redshifts for high-redshift radio source surveys"

Boyce et al. (2023) "Hydra II: Characterisation of Aegean, Caesar, ProFound, PyBDSF, and Selavy source finders"

Boyce et al. (2023) "Hydra I: An extensible multi-source-finder comparison and cataloguing tool"

Wilber et al. (2023) "Scalable precision wide-field imaging in radio interferometry: I. uSARA validated on ASKAP data"

Bowles et al. (2023) "Radio Galaxy Zoo EMU: towards a semantic radio galaxy morphology taxonomy"

Segal et al. (2023) "Identifying anomalous radio sources in the Evolutionary Map of the Universe Pilot Survey using a complexity-based approach"

Loi et al. (2023) "A 600 kpc complex radio source at the center of Abell 3718 discovered by the EMU and POSSUM surveys"

Riggi et al. (2023) "Astronomical source detection in radio continuum maps with deep neural networks"

Gupta et al. (2022) "Discovery of peculiar radio morphologies with ASKAP using unsupervised machine learning"

Riseley et al. (2022) "Radio fossils, relics, and haloes in Abell 3266: cluster archaeology with ASKAP-EMU and the ATCA"

Gurkan et al. (2022) "Deep ASKAP EMU Survey of the GAMA23 field: properties of radio sources "

Ingallinera et al. (2022) "Evolutionary map of the Universe (EMU): 18-cm OH-maser discovery in ASKAP continuum images of the SCORPIO field"

Veronica et al. (2022) "The eROSITA view of the Abell 3391/95 field: The Northern Clump. The largest infalling structure in the longest known gas filament observed with eROSITA, XMM-Newton, and Chandra"

Venturi et al. (2022) "Radio footprints of a minor merger in the Shapley Supercluster: From supercluster down to galactic scales"

Regis et al. (2021) "The EMU view of the Large Magellanic Cloud: troubles for sub-TeV WIMPs "

Pennock et al. (2021), MNRAS 506, 3540: "The ASKAP-EMU Early Science Project: 888 MHz radio continuum survey of the Large Magellanic Cloud"

Umana et al. (2021) "A first glimpse at the Galactic plane with the ASKAP: the SCORPIO field "

Di Mascolo et al. (2021) "Multiwavelength view of SPT-CL J2106-5844. The radio galaxies and the thermal and relativistic plasmas in a massive galaxy cluster merger at z = 1.13"

Bojicic et al. (2021) "Determination of Planetary Nebulae angular diameters from radio continuum spectral energy distribution modelling"

Riggi et al. (2021) "Evolutionary map of the Universe (EMU): Compact radio sources in the SCORPIO field towards the galactic plane"

Brueggen et al. (2021) "Radio observations of the merging galaxy cluster system Abell 3391-Abell 3395"

Reiprich et al. (2021) "The Abell 3391/95 galaxy cluster system: A 15 Mpc intergalactic medium emission filament, a warm gas bridge, infalling matter clumps, and (re-) accelerated plasma discovered by combining SRG/eROSITA data with ASKAP/EMU and DECam data"

Duchesne et al. (2021) "SPT-CL J2032-5627: A new Southern double relic cluster observed with ASKAP"

Norris et al. (2021) "Unexpected Circular Radio Objects at High Galactic Latitude"

HyeongHan et al. (2020) "Discovery of a Radio Relic in the Massive Merging Cluster SPT-CL J2023-5535 from the ASKAP-EMU Pilot Survey"

Joseph et al. (2019) "The ASKAP EMU Early Science Project: radio continuum survey of the Small Magellanic Cloud"

Leahy et al. (2019) "ASKAP commissioning observations of the GAMA 23 field"

Pre-EMU Publications (incomplete)

List of refereed journal articles which were triggered or driven by the EMU project, or explore methods to scientifically exploit future EMU data:

Tanidis, Camera & Parkinson (2020) "Developing a unified pipeline for large-scale structure data analysis with angular power spectra - II. A case study for magnification bias and radio continuum surveys"

Bernal et al (2019) "Probing ΛCDM cosmology with the Evolutionary Map of the Universe survey"

Luken et al. (2019) "Preliminary Results of Using k-Nearest Neighbors Regression to Estimate the Redshift of Radio-selected Data Sets"

Ralph et al. (2019) "Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images"

Galvin et al. (2019) "Radio Galaxy Zoo: Knowledge Transfer Using Rotationally Invariant Self-organizing Maps"

Segal et al. (2019) "Identifying Complex Sources in Large Astronomical Data Using a Coarse-grained Complexity Measure "

Norris et al. (2019) "A Comparison of Photometric Redshift Techniques for Large Radio Surveys "

Bernal et al. (2019) "Probing ΛCDM cosmology with the Evolutionary Map of the Universe survey "

Wu et al. (2019) "Radio Galaxy Zoo: CLARAN - a deep learning classifier for radio morphologies"

Alger et al. (2018) "Radio Galaxy Zoo: machine learning for radio source host galaxy cross-identification"

Lukic et al. (2018) "Radio Galaxy Zoo: compact and extended radio source classification with deep learning"

Weston et al. (2018) "Automated cross-identifying radio to infrared surveys using the LRPY algorithm: a case study"

Norris (2017a) "Extragalactic radio continuum surveys and the transformation of radio astronomy"

Norris (2017b) "Discovering the Unexpected in Astronomical Survey Data "

Riggi et al. (2016) "Automated detection of extended sources in radio maps: progress from the SCORPIO survey"

Banfield et al. (2015) "Radio Galaxy Zoo: host galaxies and radio morphologies derived from visual inspection"

Hopkins et al. (2015)"The ASKAP/EMU Source Finding Data Challenge"

Norris et al. (2013) "Radio Continuum Surveys with Square Kilometre Array Pathfinders "

Hancock et al. (2012) "Compact continuum source finding for next generation radio surveys "

Huynh et al. (2012) "The Completeness and Reliability of Threshold and False-discovery Rate Source Extraction Algorithms for Compact Continuum Sources"

Norris (2011) "Evolutionary Map of the Universe: Tracing Clusters to High Red-shift"