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

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.

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Wilde, Joshua; Serjeant, Stephen; Bromley, Jane M.; Dickinson, Hugh; Koopmans, Leon and Metcalf, R. Benton (2022). Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations. Monthly Notices of the Royal Astronomical Society (Accepted Manuscript Online).

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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 (Accepted Manuscript Online).

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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.

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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. The Open University.

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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.

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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.

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.

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