Empirical aperture corrections for SDSS absorption indices, derived via CALIFA simulations, reach 15% of dynamical range at low redshift and reduce overestimates of old galaxy fractions by up to 10%.
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3 Pith papers cite this work. Polarity classification is still indexing.
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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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Correcting the fiber-aperture bias affecting galaxy stellar populations in the Sloan Digital Sky Survey. Aperture corrections to absorption indices based on CALIFA integral field observations
Empirical aperture corrections for SDSS absorption indices, derived via CALIFA simulations, reach 15% of dynamical range at low redshift and reduce overestimates of old galaxy fractions by up to 10%.
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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.