Currently browsing: Items authored or edited by Hugh Dickinson

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Popp, Jürgen J.; Dickinson, Hugh; Serjeant, Stephen; Walmsley, Mike; Adams, Dominic; Fortson, Lucy; Mantha, Kameswara; Mehta, Vihang; Dawson, James M; Kruk, Sandor and Simmons, Brooke (2024). Transfer learning for galaxy feature detection: Finding giant star-forming clumps in low-redshift galaxies using Faster Region-based Convolutional Neural Network. RAS Techniques and Instruments, 3(1) pp. 174–197.

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Walmsley, Mike; Géron, Tobias; Kruk, Sandor; Scaife, Anna M M; Lintott, Chris; Masters, Karen L; Dawson, James M; Dickinson, Hugh; Fortson, Lucy; Garland, Izzy L; Mantha, Kameswara; O’Ryan, David; Popp, Jurgen; Simmons, Brooke; Baeten, Elisabeth M and Macmillan, Christine (2023). Galaxy Zoo DESI: Detailed morphology measurements for 8.7M galaxies in the DESI Legacy Imaging Surveys. Monthly Notices of the Royal Astronomical Society, 526(3) pp. 4768–4786.

Hague, James; Andrews, Allison and Dickinson, Hugh (2023). High‐throughput rational design of artificial tissue moulds using a biophysical in‐silico model and machine learning. In: TERMIS 2023 – European Chapter Manchester Central Conference Centre Manchester, UK March 28–31, 2023.Tissue Engineering Part A.

McClure, M. K.; Rocha, W. R. M.; Pontoppidan, K. M.; Crouzet, N.; Chu, L. E. U.; Dartois, E.; Lamberts, T.; Noble, J. A.; Pendleton, Y. J.; Perotti, G.; Qasim, D.; Rachid, M. G.; Smith, Z. L.; Sun, Fengwu; Beck, Tracy L.; Boogert, A. C. A.; Brown, W. A.; Caselli, P.; Charnley, S. B.; Cuppen, Herma M.; Dickinson, H.; Drozdovskaya, M. N.; Egami, E.; Erkal, J.; Fraser, H.; Garrod, R. T.; Harsono, D.; Ioppolo, S.; Jiménez-Serra, I.; Jin, M.; Jørgensen, J. K.; Kristensen, L. E.; Lis, D. C.; McCoustra, M. R. S.; McGuire, Brett A.; Melnick, G. J.; Öberg, Karin I.; Palumbo, M. E.; Shimonishi, T.; Sturm, J. A.; van Dishoeck, E. F. and Linnartz, H. (2023). An Ice Age JWST inventory of dense molecular cloud ices. Nature Astronomy, 7 pp. 431–443.

Hardcastle, M. J.; Horton, M. A.; Williams, W. L.; Duncan, K. J.; Alegre, L.; Barkus, B.; Croston, J. H.; Dickinson, H.; Osinga, E.; Röttgering, H. J. A.; Sabater, J.; Shimwell, T. W.; Smith, D. J. B.; Best, P. N.; Botteon, A.; Brüggen, M.; Drabent, A.; de Gasperin, F.; Gürkan, G.; Hajduk, M.; Hale, C. L.; Hoeft, M.; Jamrozy, M.; Kunert-Bajraszewska, M.; Kondapally, R.; Magliocchetti, M.; Mahatma, V. H.; Mostert, R. I. J.; O’Sullivan, S. P.; Pajdosz-Śmierciak, U.; Petley, J.; Pierce, J. C. S.; Prandoni, I.; Schwarz, D. J.; Shulewski, A.; Siewert, T. M.; Stott, J. P.; Tang, H.; Vaccari, M.; Zheng, X.; Bailey, T.; Desbled, S.; Goyal, A.; Gonano, V.; Hanset, M.; Kurtz, W.; Lim, S. M.; Mielle, L.; Molloy, C. S.; Roth, R.; Terentev, I. A. and Torres, M. (2023). The LOFAR Two-Metre Sky Survey. Astronomy & Astrophysics, 678, article no. A151.

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Dickinson, Hugh; Adams, Dominic; Mehta, Vihang; Scarlata, Claudia; Fortson, Lucy; Serjeant, Stephen; Krawczyk, Coleman; Kruk, Sandor; Lintott, Chris; Mantha, Kameswara; Simmons, Brooke D and Walmsley, Mike (2022). Galaxy Zoo: Clump Scout - Design and first application of a two-dimensional aggregation tool for citizen science. Monthly Notices of the Royal Astronomical Society, 517(4) pp. 5882–5911.

Walmsley, Mike; Scaife, Anna M M; Lintott, Chris; Lochner, Michelle; Etsebeth, Verlon; Géron, Tobias; Dickinson, Hugh; Fortson, Lucy; Kruk, Sandor; Masters, Karen L; Mantha, Kameswara Bharadwaj and Simmons, Brooke D (2022). Practical galaxy morphology tools from deep supervised representation learning. Monthly Notices of the Royal Astronomical Society, 513(2) pp. 1581–1599.

Adams, Dominic; Mehta, Vihang; Dickinson, Hugh; Scarlata, Claudia; Fortson, Lucy; Kruk, Sandor; Simmons, Brooke and Lintott, Chris (2022). Galaxy Zoo: Clump Scout: Surveying the Local Universe for Giant Star-forming Clumps. The Astrophysical Journal, 931(1)

2021To Top

Baronchelli, I.; Scarlata, C. M.; Rodríguez-Muñoz, L.; Bonato, M.; Morselli, L.; Vaccari, M.; Carraro, R.; Barrufet, L.; Henry, A.; Mehta, V.; Rodighiero, G.; Baruffolo, A.; Bagley, M.; Battisti, A.; Colbert, J.; Dai, Y. S.; De Pascale, M.; Dickinson, H.; Malkan, M.; Mancini, C.; Rafelski, M. and Teplitz, H. I. (2021). Identification of Single Spectral Lines in Large Spectroscopic Surveys Using UMLAUT: an Unsupervised Machine-learning Algorithm Based on Unbiased Topology. The Astrophysical Journal Supplement Series, 257(2), article no. 67.

Wiktorowicz, Grzegorz; Middleton, Matthew; Khan, Norman; Ingram, Adam; Gandhi, Poshak and Dickinson, Hugh (2021). Predicting the self-lensing population in optical surveys. Monthly Notices of the Royal Astronomical Society, 507(1) pp. 374–384.

Lauritsen, Lynge; Dickinson, Hugh; Bromley, Jane; Serjeant, Stephen; Lim, Chen-Fatt; Gao, Zhen-Kai and Wang, Wei-Hao (2021). Super-resolving Herschel imaging: a proof of concept using Deep Neural Networks. Monthly Notices of the Royal Astronomical Society, 507(1) pp. 1546–1556.

Mcmaster, Adam; Norton, Andrew J.; Dickinson, Hugh J.; Thiemann, Heidi B. and Kolb, Ulrich C. (2021). VeSPA: The SuperWASP Variable Star Photometry Archive. Research Notes of the AAS, 5(10) p. 228.

Clarke, Leonardo; Scarlata, Claudia; Mehta, Vihang; Keel, William C.; Cardamone, Carolin; Hayes, Matthew; Adams, Nico; Dickinson, Hugh; Fortson, Lucy; Kruk, Sandor; Lintott, Chris and Simmons, Brooke (2021). An Old Stellar Population or Diffuse Nebular Continuum Emission Discovered in Green Pea Galaxies. The Astrophysical Journal Letters, 912(2), article no. L22.

Mehta, Vihang; Scarlata, Claudia; Fortson, Lucy; Dickinson, Hugh; Adams, Dominic; Chevallard, Jacopo; Charlot, Stéphane; Beck, Melanie; Kruk, Sandor and Simmons, Brooke (2021). Investigating Clumpy Galaxies in the Sloan Digital Sky Survey Stripe 82 Using the Galaxy Zoo. The Astrophysical Journal, 912(1), article no. 49.

Flanagan, K.; Quinn, J. (for the VERITAS Collaboration]; Wright, D.; Dickinson, H.; Wilcox, P. D.; Laraia, M. and Serjeant, S. (2021). Identifying muon rings in VERITAS data using convolutional neural networks trained on images classified with Muon Hunters 2. In: 37th International Cosmic Ray Conference (ICRC), 12-23 Jul 2021, [Online - Berlin, Germany].


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