Zobrazeno 1 - 10
of 835
pro vyhledávání: '"Smith Michael S."'
Autor:
Schmidt Konrad, Chipps Kelly A., Ahn Sunghoon, Allen Jacob M., Ayoub Sara, Bardayan Daniel W., Blackmon Jeffrey C., Blankstein Drew, Browne Justin, Cha Soomi, Chae Kyung YUK, Cizewski Jolie, Deibel Catherine M., Deleeuw Eric, Gomez Orlando, Greife Uwe, Hager Ulrike, Hall Matthew R., Jones Katherine L., Kontos Antonios, Kozub Raymond L., Lee Eunji, Lepailleur Alex, Linhardt Laura E., Matos Milan, Meisel Zach, Montes Fernando, O’Malley Patrick D., Ong Wei Jia, Pain Steven D., Sachs Alison, Schatz Hendrik, Schmitt Kyle T., Smith Karl, Smith Michael S., Soares de Bem Natã F., Thompson Paul J., Toomey Rebecca, Walter David
Publikováno v:
EPJ Web of Conferences, Vol 165, p 01043 (2017)
When a neutron star accretes hydrogen and helium from the outer layers of its companion star, thermonuclear burning enables the αp-process as a break out mechanism from the hot CNO cycle. Model calculations predict (α, p) reaction rates significant
Externí odkaz:
https://doaj.org/article/1bf9b883d5614a58a310f2e00c64907e
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
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 April 2024
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
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.