Professor Kevin Pimbblet's Outputs (4)

The loneliest galaxies in the Universe: a GAMA and Galaxy Zoo study on void galaxy morphology (2023)
Journal Article
Porter, L. E., Holwerda, B. W., Kruk, S., Lara-López, M., Pimbblet, K. A., Henry, C. P., Casura, S., & Kelvin, L. S. (2023). The loneliest galaxies in the Universe: a GAMA and Galaxy Zoo study on void galaxy morphology. Monthly notices of the Royal Astronomical Society, 524(4), 5768-5780. https://doi.org/10.1093/mnras/stad1125

The large-scale structure of the Universe is comprised of galaxy filaments, tendrils, and voids. The majority of the Universe's volume is taken up by these voids, which exist as underdense, but not empty, regions. The galaxies found inside these void... Read More about The loneliest galaxies in the Universe: a GAMA and Galaxy Zoo study on void galaxy morphology.

Your essential guide to the many breathtaking wonders of the universe (2023)
Newspaper / Magazine
Beall, A. (2023). Your essential guide to the many breathtaking wonders of the universe

An abridged inventory of everything there is in the universe – from rogue planets and exomoons to supernovae, supermassive black holes and the cosmic web.

Noise reduction in single-shot images using an auto-encoder (2023)
Journal Article
Bartlett, O. J., Benoit, D. M., Pimbblet, K. A., Simmons, B., & Hunt, L. (2023). Noise reduction in single-shot images using an auto-encoder. Monthly notices of the Royal Astronomical Society, 521(4), 6318-6329. https://doi.org/10.1093/mnras/stad665

We present an application of auto-encoders to the problem of noise reduction in single-shot astronomical images and explore its suitability for upcoming large-scale surveys. Auto-encoders are a machine learning model that summarizes an input to ident... Read More about Noise reduction in single-shot images using an auto-encoder.

Modelling strong lenses from wide-field ground-based observations in KiDS and GAMA (2023)
Journal Article
Knabel, S., Holwerda, B. W., Nightingale, J., Treu, T., Bilicki, M., Brough, S., Driver, S., Finnerty, L., Haberzettl, L., Hegde, S., Hopkins, A. M., Kuijken, K., Liske, J., Pimblett, A. K., Steele, R. C., & Wright, A. H. (2023). Modelling strong lenses from wide-field ground-based observations in KiDS and GAMA. Monthly notices of the Royal Astronomical Society, 520(1), 804-827. https://doi.org/10.1093/mnras/stad133

Despite the success of galaxy-scale strong gravitational lens studies with Hubble-quality imaging, a number of well-studied strong lenses remains small. As a result, robust comparisons of the lens models to theoretical predictions are difficult. This... Read More about Modelling strong lenses from wide-field ground-based observations in KiDS and GAMA.