Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Christopher J. Duffy"'
Publikováno v:
Limnology and Oceanography Letters, Vol 3, Iss 3, Pp 236-245 (2018)
Abstract The rate at which water and carbon move through lake‐catchments influences carbon metabolism, storage, and transport to down‐stream ecosystems. This article focuses on conceptual‐mathematical modeling of the “age” of water and carb
Externí odkaz:
https://doaj.org/article/51583e35f03b438693e56e22a64a7ad1
Autor:
Xuan Yu, Christopher J. Duffy
Publikováno v:
Water, Vol 10, Iss 3, p 288 (2018)
The watershed is a fundamental concept in hydrology and is the basis for understanding hydrologic processes and for the planning and management of water resources. Storage and movement of water at a watershed scale is complicated due to the coupled p
Externí odkaz:
https://doaj.org/article/88cf4b317e1c4be4a8b58a0f3730ae3d
Autor:
Varun Ratnakar, Deborah Khider, Yijun Lin, Maximiliano Osorio, Daniel Garijo, Zeya Zhang, Scott D. Peckham, Rajiv Mayani, Jay Pujara, Rafael Ferreira da Silva, Dan Feldman, Yao-Yi Chiang, Daniel Hardesty-Lewis, Basel Shbita, Yuning Shi, Craig A. Knoblock, Lele Shu, Michael Steinbach, Maria Stoica, Kshitij Tayal, Lissa Pearson, Kelly M. Cobourn, Ankush Khandelwal, Vipin Kumar, Yolanda Gil, Lorne Leonard, Suzanne A. Pierce, Binh Vu, Armen R. Kemanian, Shaoming Xu, Ewa Deelman, Christopher J. Duffy, Minh Pham, Hernán Vargas, Hayley Song
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 11:1-49
Major societal and environmental challenges involve complex systems that have diverse multi-scale interacting processes. Consider, for example, how droughts and water reserves affect crop production and how agriculture and industrial needs affect wat
Autor:
Xiang Li, Ankush Khandelwal, Xiaowei Jia, Kelly Cutler, Rahul Ghosh, Arvind Renganathan, Shaoming Xu, Kshitij Tayal, J L Nieber, Christopher J Duffy, Michael Steinbach, Vipin Kumar
Publikováno v:
Water Resources Research. 58
Autor:
P. T. O'Brien, David Mkrtichian, Kendall Ackley, U. Burhanudin, T. Heikkilä, R. Cutter, Andrew J. Levan, Paul Chote, Benjamin P. Gompertz, Justyn R. Maund, Supachai Awiphan, Y. L. Mong, Klaas Wiersema, E. J. Daw, James McCormac, G. Ramsay, Krzysztof Ulaczyk, S. Tooke, Enric Palle, D. Mata Sánchez, R. Eyles-Ferris, Christopher J. Duffy, T. Killestein, Saran Poshyachinda, Eric Thrane, Seppo Mattila, James Mullaney, S. Williams, E. Rol, Puji Irawati, S. Aukkaravittayapun, L. K. Nuttall, Don Pollacco, Rubina Kotak, Danny Steeghs, Rene P. Breton, Utane Sawangwit, R. L. C. Starling, A. Chrimes, J. D. Lyman, L. Makrygianni, Elizabeth R. Stanway, Mark Kennedy, S. P. Littlefair, P. A. Strøm, Duncan K. Galloway, Martin J. Dyer, V. S. Dhillon
Publikováno v:
Monthly Notices of the Royal Astronomical Society, 503, 4, pp. 4838-4854
Monthly Notices of the Royal Astronomical Society
Killestein, T L, Lyman, J, Steeghs, D, Ackley, K, Dyer, M J, Ulaczyk, K, Cutter, R, Mong, Y-L, Galloway, D K, Dhillon, V, O'Brien, P, Ramsay, G, Poshyachinda, S, Kotak, R, Breton, R P, Nuttall, L K, Pallé, E, Pollacco, D, Thrane, E, Aukkaravittayapun, S, Awiphan, S, Burhanudin, U, Chote, P, Chrimes, A, Daw, E, Duffy, C, Eyles-Ferris, R, Gompertz, B, Heikkilä, T, Irawati, P, Kennedy, M R, Levan, A, Littlefair, S, Makrygianni, L, Sánchez, D M, Mattila, S, Maund, J, McCormac, J, Mkrtichian, D, Mullaney, J, Rol, E, Sawangwit, U, Stanway, E, Starling, R, Strøm, P A, Tooke, S & Wiersema, K 2021, ' Transient-optimised real-bogus classification with Bayesian convolutional neural networks-sifting the GOTO candidate stream ', Monthly Notices of the Royal Astronomical Society, vol. 503, no. 4, pp. 4838-4854 . https://doi.org/10.1093/mnras/stab633
arXiv
Monthly Notices of the Royal Astronomical Society, 503, 4838-4854
Monthly Notices of the Royal Astronomical Society
Killestein, T L, Lyman, J, Steeghs, D, Ackley, K, Dyer, M J, Ulaczyk, K, Cutter, R, Mong, Y-L, Galloway, D K, Dhillon, V, O'Brien, P, Ramsay, G, Poshyachinda, S, Kotak, R, Breton, R P, Nuttall, L K, Pallé, E, Pollacco, D, Thrane, E, Aukkaravittayapun, S, Awiphan, S, Burhanudin, U, Chote, P, Chrimes, A, Daw, E, Duffy, C, Eyles-Ferris, R, Gompertz, B, Heikkilä, T, Irawati, P, Kennedy, M R, Levan, A, Littlefair, S, Makrygianni, L, Sánchez, D M, Mattila, S, Maund, J, McCormac, J, Mkrtichian, D, Mullaney, J, Rol, E, Sawangwit, U, Stanway, E, Starling, R, Strøm, P A, Tooke, S & Wiersema, K 2021, ' Transient-optimised real-bogus classification with Bayesian convolutional neural networks-sifting the GOTO candidate stream ', Monthly Notices of the Royal Astronomical Society, vol. 503, no. 4, pp. 4838-4854 . https://doi.org/10.1093/mnras/stab633
arXiv
Monthly Notices of the Royal Astronomical Society, 503, 4838-4854
Large-scale sky surveys have played a transformative role in our understanding of astrophysical transients, only made possible by increasingly powerful machine learning-based filtering to accurately sift through the vast quantities of incoming data g
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 2743-2762 (2020)
Hydrologic modeling is an essential strategy for understanding and predicting natural flows, particularly where observations are lacking in either space or time or where complex terrain leads to a disconnect in the characteristic time and space scale
Autor:
Rene P. Breton, B. P. Gompertz, Seppo Mattila, S. P. Littlefair, James Mullaney, J. D. Lyman, K. Noysena, Y. L. Mong, Eric Thrane, Danny Steeghs, Justyn R. Maund, T. R. Marsh, Klaas Wiersema, Michael J. I. Brown, E. Rol, Christopher J. Duffy, G. Ramsay, David Mkrtichian, Duncan K. Galloway, L. K. Nuttall, Martin J. Dyer, Puji Irawati, P. A. Strøm, P. T. O'Brien, T. Heikkilä, K. Ackley, Mark Kennedy, D. Mata-Sanchez, A. Chrimes, Utane Sawangwit, Don Pollacco, Elizabeth R. Stanway, V. S. Dhillon, R. L. C. Starling, E. J. Daw, Supachai Awiphan, Krzysztof Ulaczyk, S. Tooke, T. Killestein, Rubina Kotak, R. Cutter, Paul Chote, R. Eyles-Ferris, James McCormac, Andrew J. Levan, L. Makrygianni, U. Burhanudin, Enric Palle
The typical detection rate of $\sim1$ gamma-ray burst (GRB) per day by the \emph{Fermi} Gamma-ray Burst Monitor (GBM) provides a valuable opportunity to further our understanding of GRB physics. However, the large uncertainty of the \emph{Fermi} loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::870915cadd8301f008122a2f74183871
http://wrap.warwick.ac.uk/158445/1/WRAP-searching-Fermi-GRB-optical-counterparts-with-prototype-Gravitational-wave-Optical-Transient-Observer-(GOTO)-2021.pdf
http://wrap.warwick.ac.uk/158445/1/WRAP-searching-Fermi-GRB-optical-counterparts-with-prototype-Gravitational-wave-Optical-Transient-Observer-(GOTO)-2021.pdf
Autor:
Y. L. Mong, Duncan K. Galloway, V. S. Dhillon, James McCormac, U. Burhanudin, R. Eyles-Ferris, P. T. O'Brien, Danny Steeghs, Martin J. Dyer, S. P. Littlefair, Kendall Ackley, K. Noysena, Utane Sawangwit, L. K. Nuttall, Don Pollacco, R. L. C. Starling, T. Heikkilä, Mark Kennedy, Andrew J. Levan, J. D. Lyman, David Mkrtichian, Enric Palle, P. A. Strøm, Seppo Mattila, A. Chrimes, Klaas Wiersema, Elizabeth R. Stanway, James Mullaney, D. Mata-Sanchez, Puji Irawati, B. P. Gompertz, Christopher J. Duffy, Eric Thrane, Supachai Awiphan, Rene P. Breton, Krzysztof Ulaczyk, S. Tooke, T. Killestein, E. J. Daw, Rubina Kotak, Justyn R. Maund, G. Ramsay, Paul Chote, R. Cutter, L. Makrygianni
Publikováno v:
Burhanudin, U F, Maund, J R, Killestein, T, Ackley, K, Dyer, M J, Lyman, J, Ulaczyk, K, Cutter, R, Mong, Y-L, Steeghs, D, Galloway, D K, Dhillon, V, O'Brien, P, Ramsay, G, Noysena, K, Kotak, R, Breton, R P, Nuttall, L, Pallé, E, Pollacco, D, Thrane, E, Awiphan, S, Chote, P, Chrimes, A, Daw, E, Duffy, C, Eyles-Ferris, R, Gompertz, B, Heikkilä, T, Irawati, P, Kennedy, M R, Levan, A, Littlefair, S, Makrygianni, L, Mata-Sánchez, D, Mattila, S, McCormac, J, Mkrtichian, D, Mullaney, J, Sawangwit, U, Stanway, E, Starling, R, Strøm, P, Tooke, S & Wiersema, K 2021, ' Light curve classification with recurrent neural networks for GOTO : dealing with imbalanced data ', Monthly Notices of the Royal Astronomical Society, vol. 505, no. 3, pp. 4345-4361 . https://doi.org/10.1093/mnras/stab1545
The advent of wide-field sky surveys has led to the growth of transient and variable source discoveries. The data deluge produced by these surveys has necessitated the use of machine learning (ML) and deep learning (DL) algorithms to sift through the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81ac2607da546de6bf614fe7f4fccd51
https://researchportal.port.ac.uk/portal/en/publications/light-curve-classification-with-recurrent-neural-networks-for-goto(571902a2-a7ea-48c5-b98a-3f5c85dc6576).html
https://researchportal.port.ac.uk/portal/en/publications/light-curve-classification-with-recurrent-neural-networks-for-goto(571902a2-a7ea-48c5-b98a-3f5c85dc6576).html
Autor:
Fred Worrall, Valentina Noacco, Christopher J. Duffy, Matteo Fasiolo, Thorsten Wagener, Nicholas J K Howden
Publikováno v:
Noacco, V, Duffy, C, Wagener, T, Worrall, F, Fasiolo, M & Howden, N 2019, ' Drivers of interannual and intra-annual variability of dissolved organic carbon concentration in the River Thames between 1884 and 2013 ', Hydrological Processes, vol. 33, no. 6, pp. 994-1012 . https://doi.org/10.1002/hyp.13379
Hydrological processes, 2019, Vol.33(6), pp.994-1012 [Peer Reviewed Journal]
Hydrological processes, 2019, Vol.33(6), pp.994-1012 [Peer Reviewed Journal]
The world's longest record of river water quality (River Thames—130 years) provides a unique opportunity to understand fluvial dissolved organic carbon (DOC) concentrations dynamics. Understanding riverine DOC variability through long-term studies
Autor:
K. Egberts, Davit Zargaryan, Axel Donath, A. W. Chen, G. Pühlhofer, M. de Bony de Lavergne, V. Poireau, P. T. O'Brien, P. A. Evans, Riaan Steenkamp, A. Lemiere, F. Eichhorn, Nu. Komin, J. Schäfer, Włodek Kluźniak, A. S. Seyffert, N. Shafi, Natalia Żywucka, Sebastian Panny, R. J. White, Domenico Tiziani, D. Malyshev, T. Chand, Jhilik Majumdar, V. Baghmanyan, Clemens Hoischen, A. A. Zdziarski, Jacco Vink, Alison Mitchell, Joachim Hahn, M. Füßling, C. van Eldik, J.F. Glicenstein, Lei Sun, P. Reichherzer, Jim Davies, A. Carosi, Zorawar Wadiasingh, Q. Remy, Anna Barnacka, A. Djannati-Ataï, A. Montanari, E. Moulin, M. de Naurois, Alexandre Marcowith, Arnaud Mares, Christoph Deil, Sabrina Casanova, Christo Venter, G. Peron, Garret Cotter, M. Hörbe, Dmitriy Kostunin, E. Ruiz-Velasco, Mohanraj Senniappan, Thomas Bylund, E. O. Angüner, S. Raab, Tadayuki Takahashi, F. Brun, R. J. Tuffs, B. Bi, H. Prokoph, C. van Rensburg, A. Zech, J. Muller, Monica Barnard, B. Peyaud, Kirsty Feijen, R. Rauth, Pierre Brun, Victor Doroshenko, Michael Punch, E. Kasai, Konrad Bernlöhr, M. Curyło, Stefano Gabici, Gianluca Giavitto, Frank M. Rieger, Michael Backes, Stefan Klepser, J.-P. Ernenwein, A. Dmytriiev, Mischa Breuhaus, J. Dyks, G. Emery, L. Olivera-Nieto, Tim Holch, S. Fegan, Samuel Zouari, M.-H. Grondin, L. Mohrmann, Stefan Ohm, I. Jung-Richardt, Markus Böttcher, K. Kosack, A. Reimer, G. Hermann, Marek Jamrozy, Regis Terrier, S. Pita, Markus Holler, Felix Jankowsky, Armelle Jardin-Blicq, E. de Ona Wilhelmi, A.M. Taylor, Carlo Romoli, J. Damascene Mbarubucyeye, Hester Schutte, Dieter Horns, Jonathan Mackey, Tom Armstrong, Helene Sol, Sylvia Zhu, P. J. Meintjes, Hambeleleni Ndiyavala, G. Fontaine, H. Odaka, Felix Aharonian, V. Barbosa Martins, Andreas Specovius, Michal Ostrowski, Johannes Veh, D. J. van der Walt, Yu Wun Wong, L. Oakes, C. Moore, J. Bolmont, D. Jankowsky, M. Seglar-Arroyo, Paolo Marchegiani, Rachel Simoni, R. Marx, S. Steinmassl, D. Glawion, Łukasz Stawarz, Manuel Meyer, Tomasz Bulik, Lente Dreyer, Andreas Quirrenbach, Sabrina Einecke, Iryna Lypova, Constantin Steppa, D. A. Prokhorov, M. Zacharias, Christopher J. Duffy, A. Wierzcholska, M. Tluczykont, Christian Stegmann, Stefan Wagner, Yasunobu Uchiyama, F. Schüssler, Yvonne Becherini, Jimmy N.S. Shapopi, C. Levy, Werner Hofmann, G. Lamanna, M. A. Kastendieck, James E. M. Watson, Ullrich Schwanke, G. Vasileiadis, Isak Delberth Davids, Misao Sasaki, Bruno Khelifi, M. Büchele, M. Lemoine-Goumard, J. Zorn, Elisabetta Bissaldi, Roberta Zanin, F. Ait Benkhali, L. Rinchiuso, M. Scalici, Y. A. Gallant, J. Devin, Jim Hinton, D. Berge, V. Sahakian, F. Werner, Andrea Santangelo, Stefan Funk, S. Sailer, Dmitry Khangulyan, Michael Kreter, Jacek Niemiec, D. A. Sanchez, A. Priyana Noel, C. Arcaro, Fabian Leuschner, J. H. E. Thiersen, M. Panter, U. Katz, K. Nakashima, Olaf Reimer, G. Martí-Devesa, H. Ashkar, Q. Piel, P. Morris, Gavin Rowell, M. Bryan, Kleopas Shiningayamwe, A. Yusafzai, Thomas Murach, G. Maurin, Maria Haupt, Heinrich J. Völk, M. Renaud, R. D. Parsons, Samuel Timothy Spencer, Lenka Tomankova, T. Tam, G. Fichet de Clairfontaine, A. Sinha, J.-P. Lenain, D. Huber, Rafal Moderski, S. Caroff, B. van Soelen, S. Chandra, R. Konno, L. Dirson, M. Tsirou, B. Rudak, V. Joshi, Thomas Lohse, L. Giunti, A. Nayerhoda, Hassan Abdalla, A. Fiasson, M. Spir-Jacob, V. Marandon, K. Katarzyński, P. Vincent, T. Tavernier, K. L. Page, Heiko Salzmann, Celine Armand, Catherine Boisson
Publikováno v:
Science
Science, 2021, 372 (6546), pp.1081-1085. ⟨10.1126/science.abe8560⟩
Science, 372(6546), 1081-1085. American Association for the Advancement of Science
Science, 2021, 372 (6546), pp.1081-1085. ⟨10.1126/science.abe8560⟩
Science, 372(6546), 1081-1085. American Association for the Advancement of Science
An intrinsic gamma-ray burst afterglow Long gamma-ray bursts (GRBs) are emitted by relativistic jets generated during the collapse of a massive star in a distant galaxy. The GRB itself lasts only a few seconds but is followed by an afterglow that can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fb03e0719503556548a7bcb346dce2a
https://hal.science/hal-03260812
https://hal.science/hal-03260812