Zobrazeno 1 - 10
of 866
pro vyhledávání: '"Smith, Michael S"'
Autor:
Alkhalaf, Alaa, Herrero, Lorenza Alvarez, Baldaque-Silva, Francisco, Barret, Maximilien, Bergman, Jacques J., Beyna, Torsten, Bisschops, Raf, Boers, Tim G., Curvers, Wouter, Deprez, Pierre H., Duits, Lucas C., Elbe, Peter, Esteban, Jose Miguel, Falk, Gary W., Fockens, Kiki N., Ginsberg, Gregory G., de Groof, Albert J., Haidry, Rehan, Houben, Martin H., Infantolino, Anthony, Iyer, Prasad G., Jong, Martijn, Jonge, Pieter-Jan de, Jukema, Jelmer B., Koch, Arjun, Komanduri, Srinadh, Konda, Vani, Kusters, Koen C., Leclerq, Philippe, Leggett, Cadman L., Lightdale, Charles J., Mallant-Hent, Rosalie C., Villarejo, Guiomar Moral, Fernández-Sordo, Jacobo Ortiz, Pech, Oliver, Penman, Ian, Pouw, Roos E., van der Putten, Joost A., Ragunath, Krish, Scholten, Pieter, Seewald, Stefan, Sethi, Amritha, Smith, Michael S., van der Sommen, Fons, Trindade, Arvind, Wani, Sachin, Waxman, Irving, Westerhof, Jessie, Weusten, Bas L., de With, Peter H., Wolfsen, Herbert C., Kusters, Carolus H.J., Jong, Martijn R., Boers, Tim, Weusten, Bas L.A.M., Houben, Martin H.M.G., Nagengast, Wouter B., Mallant-Hent, Rosalie, Silva, Francisco Baldaque, Ortiz Fernández-Sordo, Jacobo, Moral Villarejo, Guiomar, Montazeri, Nahid S.M., der Sommen, Fons van, de Groof, A. Jeroen
Publikováno v:
In Gastrointestinal Endoscopy October 2024 100(4):616-625
Autor:
Boehnlein, Amber, Diefenthaler, Markus, Fanelli, Cristiano, Hjorth-Jensen, Morten, Horn, Tanja, Kuchera, Michelle P., Lee, Dean, Nazarewicz, Witold, Orginos, Kostas, Ostroumov, Peter, Pang, Long-Gang, Poon, Alan, Sato, Nobuo, Schram, Malachi, Scheinker, Alexander, Smith, Michael S., Wang, Xin-Nian, Ziegler, Veronique
Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics research topics, leading to advances that will facilitate scientific d
Externí odkaz:
http://arxiv.org/abs/2112.02309
Autor:
Miskovich, Sara A., Montes, Fernando, Berg, Georg P. A., Blackmon, Jeff, Chipps, Kelly A., Couder, Manoel, Hermansen, Kirby, Hood, Ashley A., Jain, Rahul, Schatz, Hendrik, Smith, Michael S., Tsintari, Pelagia, Wagner, Louis
The SEparator for CApture Reactions (SECAR) is a next-generation recoil separator system at the Facility for Rare Isotope Beams (FRIB) designed for the direct measurement of capture reactions on unstable nuclei in inverse kinematics. To maximize the
Externí odkaz:
http://arxiv.org/abs/2112.01557
We study the exotic deformed nucleus $^{31}$Ne using an approach that combines self-consistent structure and reaction theory. We utilize the fully-relativistic, microscopic deformed Hartree-Bogoliubov theory in continuum (DRHBc) to demonstrate that d
Externí odkaz:
http://arxiv.org/abs/2109.03419
Akademický článek
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Akademický článek
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Publikováno v:
In Gastrointestinal Endoscopy September 2023 98(3):316-325
We propose parametric copulas that capture serial dependence in stationary heteroskedastic time series. We develop our copula for first order Markov series, and extend it to higher orders and multivariate series. We derive the copula of a volatility
Externí odkaz:
http://arxiv.org/abs/1701.07152
Variational approximation methods have proven to be useful for scaling Bayesian computations to large data sets and highly parametrized models. Applying variational methods involves solving an optimization problem, and recent research in this area ha
Externí odkaz:
http://arxiv.org/abs/1701.03208