AGN activity correlates independently with bar strength and bulge prominence in z≤0.1 galaxies after controlling for mass and color.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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astro-ph.GA 3representative citing papers
Transfer learning with a Zoobot CNN on SDSS DR18 data identifies 3,679 lopsided spiral galaxies at 87% test accuracy, with lopsided systems showing higher star formation, bluer colors, lower mass and concentration.
Visual inspection of CNN outputs from SDSS produces verified catalogues of 612 merging, 9372 irregular, 16822 edge-on, 575 dust-lane, 811 barred and 2150 ringed galaxies at 0.02<z<0.1 together with BPT-based nuclear activity types.
citing papers explorer
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The complex relationships between AGN, bars and bulges
AGN activity correlates independently with bar strength and bulge prominence in z≤0.1 galaxies after controlling for mass and color.
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Identifying lopsidedness in spiral galaxies using a Deep Convolutional Neural Network
Transfer learning with a Zoobot CNN on SDSS DR18 data identifies 3,679 lopsided spiral galaxies at 87% test accuracy, with lopsided systems showing higher star formation, bluer colors, lower mass and concentration.
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Machine learning technique for morphological classification of galaxies from SDSS. IV. Visual inspection vs CNN for merging, irregular, edge-on, barred, ringed, and with dust lanes galaxies at 0.02<z<0.1
Visual inspection of CNN outputs from SDSS produces verified catalogues of 612 merging, 9372 irregular, 16822 edge-on, 575 dust-lane, 811 barred and 2150 ringed galaxies at 0.02<z<0.1 together with BPT-based nuclear activity types.