Professor Kevin Pimbblet's Outputs (5)

The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey (2024)
Journal Article
Holwerda, B. W., Robertson, C., Cook, K., Pimbblet, K., Casura, S., Sansom, A. E., Patel, D., Butrum, T. A., Glass, D. H. W., Kelvin, L. S., Baldry, I. K., De Propris, R., Bamford, S., Masters, K., Stone, M. B., Hardin, T., Walmsley, M., Liske, J., & Adnan, S. M. (2024). The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey. Publications / Astronomical Society of Australia, 41, Article e115. https://doi.org/10.1017/pasa.2024.109

Galaxy Zoo is an online project to classify morphological features in extra-galactic imaging surveys with public voting. In this paper, we compare the classifications made for two different surveys, the Dark Energy Spectroscopic Instrument (DESI) ima... Read More about The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey.

Can ChatGPT pass a physics degree? Making a case for reformation of assessment of undergraduate degrees (2024)
Journal Article
Pimbblet, K., & Morrell, L. (2025). Can ChatGPT pass a physics degree? Making a case for reformation of assessment of undergraduate degrees. European Journal of Physics, 46(1), Article 015702. https://doi.org/10.1088/1361-6404/ad9874

The emergence of conversational natural language processing models presents a significant challenge for Higher Education. In this work, we use the entirety of a UK Physics undergraduate (BSc with Honours) degree including all examinations and coursew... Read More about Can ChatGPT pass a physics degree? Making a case for reformation of assessment of undergraduate degrees.

A search for H i absorption in distant star-forming galaxies with ASKAP-FLASH -I. Selection and analysis of the radio sample (2024)
Journal Article
Eden, S. L., Sadler, E. M., Pimbblet, K. A., Mahony, E. K., & Yoon, H. (2025). A search for H i absorption in distant star-forming galaxies with ASKAP-FLASH -I. Selection and analysis of the radio sample. Monthly notices of the Royal Astronomical Society, 536(1), 387-407. https://doi.org/10.1093/mnras/stae2581

We present and discuss two catalogues of UV-selected (NUV < 22.8 mag) galaxies that lie within a 200 deg 2 area of sky covered by the ASKAP FLASH survey and have an impact parameter of less than 20 arcsec to a FLASH radio continuum source. These cata... Read More about A search for H i absorption in distant star-forming galaxies with ASKAP-FLASH -I. Selection and analysis of the radio sample.

A Single Shot Multi-Head Gender, Age, and Landmarks Detection using Shared Convolution Features (2024)
Presentation / Conference Contribution
Khan, G., Pimbblet, K., Wertheim, K., & Ahmed, W. (2024, August). A Single Shot Multi-Head Gender, Age, and Landmarks Detection using Shared Convolution Features. Presented at 2024 29th International Conference on Automation and Computing (ICAC), Sunderland, United Kingdom

Considering the face as a vital and most informative portion of the human body, it reflects different high-level information about an individual. This high-level information includes Age, Gender, and Emotion. Facial muscles' shape and movement can be... Read More about A Single Shot Multi-Head Gender, Age, and Landmarks Detection using Shared Convolution Features.

Predicting the ages of galaxies with an artificial neural network (2024)
Journal Article
Hunt, L. J., Pimbblet, K. A., & Benoit, D. M. (2024). Predicting the ages of galaxies with an artificial neural network. Monthly notices of the Royal Astronomical Society, 529(1), 479-498. https://doi.org/10.1093/mnras/stae479

We present a new method of predicting the ages of galaxies using a machine learning (ML) algorithm with the goal of providing an alternative to traditional methods. We aim to match the ability of traditional models to predict the ages of galaxies by... Read More about Predicting the ages of galaxies with an artificial neural network.