All Outputs (5)

Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning (2019)
Journal Article
Walmsley, M., Smith, L., Lintott, C., Gal, Y., Bamford, S., Dickinson, H., …Wright, D. (2020). Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning. Monthly Notices of the Royal Astronomical Society, 491(2), 1554-1574. https://doi.org/10.1093/mnras/stz2816

We use Bayesian convolutional neural networks and a novel generative model of Galaxy Zoo volunteer responses to infer posteriors for the visual morphology of galaxies. Bayesian CNN can learn from galaxy images with uncertain labels and then, for prev... Read More about Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning.

The frequency of dust lanes in edge-on spiral galaxies identified by galaxy Zoo in KiDS Imaging of GAMA Targets (2019)
Journal Article
Holwerda, B. W., Kelvin, L., Baldry, I., Lintott, C., Alpaslan, M., Pimbblet, K. A., …Kitching, T. (2019). The frequency of dust lanes in edge-on spiral galaxies identified by galaxy Zoo in KiDS Imaging of GAMA Targets. Astronomical Journal, 158(3), Article 103. https://doi.org/10.3847/1538-3881/ab2886

© 2019. The American Astronomical Society. All rights reserved.. Dust lanes bisect the plane of a typical edge-on spiral galaxy as a dark optical absorption feature. Their appearance is linked to the gravitational stability of spiral disks; the fract... Read More about The frequency of dust lanes in edge-on spiral galaxies identified by galaxy Zoo in KiDS Imaging of GAMA Targets.

Planet Four: Craters—Optimizing task workflow to improve volunteer engagement and crater counting performance (2019)
Journal Article
Sprinks, J., Houghton, R., Bamford, S., & Morley, J. G. (2019). Planet Four: Craters—Optimizing task workflow to improve volunteer engagement and crater counting performance. Meteoritics and Planetary Science, 54(6), 1325-1346. https://doi.org/10.1111/maps.13277

Virtual citizen science platforms allow nonscientists to take part in scientific research across a range of disciplines, including planetary science. What is required of the volunteer can vary considerably in terms of task type, variety, judgment req... Read More about Planet Four: Craters—Optimizing task workflow to improve volunteer engagement and crater counting performance.

A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016 (2019)
Journal Article
Houghton, R., Sprinks, J., Wardlaw, J., Bamford, S., & Marsh, S. (2019). A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016. JCOM: Journal of Science Communication, 18(01), https://doi.org/10.22323/2.18010201

We discuss the potential application to virtual citizen science of a recent standard (BS ISO 27500:2016 “The human-centred organisation”) which encourages the adoption of a sociotechnical systems perspective across a wide range of businesses, organiz... Read More about A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016.

OMEGA – OSIRIS mapping of emission-line galaxies in A901/2 – V. The rich population of jellyfish galaxies in the multi-cluster system Abell 901/2 (2019)
Journal Article
Roman-Oliveira, F. V., Chies-Santos, A. L., Rodríguez Del Pino, B., Aragón-Salamanca, A., Gray, M. E., & Bamford, S. P. (2019). OMEGA – OSIRIS mapping of emission-line galaxies in A901/2 – V. The rich population of jellyfish galaxies in the multi-cluster system Abell 901/2. Monthly Notices of the Royal Astronomical Society, 484(1), 892–905. https://doi.org/10.1093/mnras/stz007

We present the results of a systematic search and characterisation of galaxies with morphological signatures of ram-pressure stripping, known as jellyfish galaxies, in the multi-cluster system A901/2, at z ∼ 0.165, as part of the OMEGA survey. By vis... Read More about OMEGA – OSIRIS mapping of emission-line galaxies in A901/2 – V. The rich population of jellyfish galaxies in the multi-cluster system Abell 901/2.