Currently browsing: Items authored or edited by Hugh Dickinson https://orcid.org/0000-0003-0475-008X

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)

• Download Published Version (PDF / 2MB)

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.

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.

• Download Published Version (PDF / 942kB)

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.

• Download Accepted Manuscript (PDF / 1MB)

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 (Early Access).

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.

McMaster, Adam; Norton, Andrew; Dickinson, Hugh; Thiemann, Adelheid and Kolb, Ulrich (2021). VeSPA: The SuperWASP Variable Star Photometry Archive. Postgraduate Research Poster Competition, The Open University.

• Download Research Poster (PDF / 849kB)

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.

Norton, Andrew; Dickinson, Hugh; McMaster, Adam; Middleton, Matthew and West, Richard (2022). A SuperWASP Light Curve Displaying a Single Long-duration Transit: A Jupiter Size Exoplanet in a Very Distant Orbit? Research Notes of the American Astronomical Society, 6(4), article no. 84.

• Download Accepted Manuscript (PDF / 372kB)

Thiemann, Heidi B.; Norton, Andrew J.; Dickinson, Hugh J.; McMaster, Adam and Kolb, Ulrich C. (2021). SuperWASP Variable Stars: Classifying Light Curves Using Citizen Science. Monthly Notices of the Royal Astronomical Society, 502(1) pp. 1299–1311.

• Download Published Version (PDF / 6MB)

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.

• Download Published Version (PDF / 4MB)

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.