Radio Galaxy Zoo: Giant Radio Galaxy Classification using Multi-Domain Deep Learning
arXiv:2112.03564 · doi:10.1093/mnras/stab3553
Abstract
In this work, we explore the potential of multi-domain multi-branch convolutional neural networks (CNNs) for identifying comparatively rare giant radio galaxies from large volumes of survey data, such as those expected for new-generation radio telescopes like the SKA and its precursors. The approach presented here allows models to learn jointly from multiple survey inputs, in this case NVSS and FIRST, as well as incorporating numerical redshift information. We find that the inclusion of multi-resolution survey data results in correction of 39% of the misclassifications seen from equivalent single domain networks for the classification problem considered in this work. We also show that the inclusion of redshift information can moderately improve the classification of giant radio galaxies.
arXiv comment22 pages, 11 figures, accepted by MNRAS
References in corpus (72)
- Astropy: A Community Python Package for Astronomy
- Planck 2015 results. XIII. Cosmological parameters
- The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
- Coevolution (Or Not) of Supermassive Black Holes and Host Galaxies
- The Demography of Massive Dark Objects in Galaxy Centres
- LOFAR: The LOw-Frequency ARray
- Kepler Mission Design, Realized Photometric Performance, and Early Science
- A Cosmology Calculator for the World Wide Web
- The GMRT 150 MHz All-sky Radio Survey: First Alternative Data Release TGSS ADR1
- SUMSS: A Wide-Field Radio Imaging Survey of the Southern Sky. II. The Source Catalogue
- The LOFAR Two-metre Sky Survey - II. First data release
- The Thirteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-IV Survey MApping Nearby Galaxies at Apache Point Observatory
- EMU: Evolutionary Map of the Universe
- SUMSS: A Wide-Field Radio Imaging Survey of the Southern Sky. I. Science goals, survey design and instrumentation
- Science with ASKAP - the Australian Square Kilometre Array Pathfinder
- Identifying Exoplanets with Deep Learning: A Five Planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90
- Radio galaxies with a `double-double' morphology: I - Analysis of the radio properties and evidence for interrupted activity in active galactic nuclei
- Radio sources in the 2dF Galaxy Redshift Survey - II. Local radio luminosity functions for AGN and star-forming galaxies at 1.4 GHz
- Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation
- The LOFAR Two-metre Sky Survey (LoTSS) III. First Data Release: optical/IR identifications and value-added catalogue
- Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning
- Giant Radio Sources
- Classifying Radio Galaxies with Convolutional Neural Network
- Radio Galaxy Zoo: host galaxies and radio morphologies derived from visual inspection
- Searching for pulsars using image pattern recognition
- Giant radio galaxies in the LOFAR Two-metre Sky Survey-I
- Radio Galaxy Zoo: ClaRAN - A Deep Learning Classifier for Radio Morphologies
- Discovery of a spiral-host episodic radio-galaxy
- A new sample of giant radio galaxies from the WENSS survey II - A multi-frequency radio study of a complete sample: Properties of the radio lobes and their environment
- Radio Galaxy Zoo: Compact and extended radio source classification with deep learning
- Search and analysis of giant radio galaxies with associated nuclei (SAGAN) -- I : New sample and multi-wavelength studies
- Applying Deep Learning to Fast Radio Burst Classification
- J1420--0545: The radio galaxy larger than 3C236
- Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning
- A Complete Sample of Megaparsec Size Double Radio Sources from SUMSS
- Detection and Classification of Supernova Gravitational Waves Signals: A Deep Learning Approach
- J0041+3224: a new double-double radio galaxy
- How frequent are close supermassive binary black holes in powerful jet sources?
- Mega parsec relativistic jets launched from an accreting supermassive blackhole in an extreme spiral galaxy
- An updated catalogue of giant radio sources
- Discovery of Giant Radio Galaxies from NVSS: Radio & Infrared Properties
- The new sample of Giant radio sources: I. Radio imaging, optical identification and spectroscopy of selected candidates
- A Machine Learning Based Morphological Classification of 14,245 Radio AGNs Selected From The Best-Heckman Sample
- Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks
- Feedback from Reorienting AGN Jets
- CNN Architecture Comparison for Radio Galaxy Classification
- Radio Galaxy Zoo: A Search for Hybrid Morphology Radio Galaxies
- Radio Galaxy Zoo: Machine learning for radio source host galaxy cross-identification
- The FIRST Classifier: Compact and Extended Radio Galaxy Classification using Deep Convolutional Neural Networks
- Isotropic Heating of Galaxy Cluster Cores via Rapidly Reorienting AGN Jets
- MIGHTEE: Are giant radio galaxies more common than we thought?
- FRII radio galaxies in the SDSS: Observational facts
- Fanaroff-Riley classification of radio galaxies using group-equivariant convolutional neural networks
- Attention-gating for improved radio galaxy classification
- Transfer learning for radio galaxy classification
- Deep Learning Based Detection of Cosmological Diffuse Radio Sources
- A Selection of Giant Radio Sources from NVSS
- Radio sources associated with Optical Galaxies and having Unresolved or Extended morphologies (ROGUE). I. A catalog of SDSS galaxies with FIRST core identifications
- J021659-044920: a relic giant radio galaxy at z ~ 1.3
- A new sample of large angular size radio galaxies. II. The optical data
- The Stripe 82 1-2 GHz Very Large Array Snapshot Survey: Multiwavelength Counterparts
- Radio Galaxy Zoo: discovery of a poor cluster through a giant wide-angle tail radio galaxy
- Discovery of a new, 2.2 Mpc Giant Radio Galaxy at a redshift of 0.57
- LOFAR MSSS: Discovery of a 2.56 Mpc giant radio galaxy associated with a disturbed galaxy group
- On-axis spectroscopy of the z=0.144 radio-loud quasar HE 1434-1600: an elliptical host with a highly ionized ISM
- Radio Observations of the Hubble Deep Field South Region III: The 2.5, 5.2 and 8.7 GHz Catalogues and Radio Source Properties
- Radio Galaxy Zoo: New Giant Radio Galaxies in the RGZ DR1catalogue
- Single-epoch supernova classification with deep convolutional neural networks
- IGR J17488-2338: a newly discovered giant radio galaxy
- Classifying Complex Faraday Spectra with Convolutional Neural Networks
- Radiation Pattern of Radio and Optical Components of Extended Radio Sources
- New Extended Radio Sources From the NVSS