Stochastic parareal: an application of probabilistic methods to time-parallelisation

Autor: Pentland, Kamran, Tamborrino, Massimiliano, Samaddar, D., Appel, L. C.

Parareal is a well-studied algorithm for numerically integrating systems of time-dependent differential equations by parallelising the temporal domain. Given approximate initial values at each temporal sub-interval, the algorithm locates a solution i

Externí odkaz: http://arxiv.org/abs/2106.10139

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The effects of the DASH dietary pattern on clinical outcomes and quality of life in adults with uncontrolled asthma: Design and methods of the ALOHA Trial

Autor: Nyenhuis, S.M., Dixon, A., Wood, L., Lv, N., Wittels, N., Ronneberg, C.R., Xiao, L., Dosala, S., Marroquin, A., Barve, A., Harmon, W., Poynter, M., Parikh, A., Camargo, C.A., Jr., Appel, L., Ma, J.

Publikováno v: In Contemporary Clinical Trials August 2023 131

Overview of recent physics results from MAST

Autor: Kirk, A, Adamek, J, Akers, RJ, Allan, S, Appel, L, Lucini, F Arese, Barnes, M, Barrett, T, Ayed, N Ben, Boeglin, W, Bradley, J, Browning, P K, Brunner, J, Cahyna, P, Carr, M, Casson, F, Cecconello, M, Challis, C, Chapman, IT, Chapman, S, Conroy, S, Conway, N, Cooper, WA, Cox, M, Crocker, N, Crowley, B, Cardnell, S, Chorley, J, Cunningham, G, Danilov, A, Darrow, D, Dendy, R, Dickinson, D, Dorland, W, Dudson, B, Easy, L, Elmore, S, Evans, M, Farley, T, Fedorczak, N, Field, A, Fitzgerald, I, Fox, M, Freethy, S, Garzotti, L, Ghim, YC, Gi, K, Gorelenkova, M, Gracias, W, Gurl, C, Guttenfelder, W, Ham, C, Harting, D, Havlickova, E, Hawkes, N, Hender, T, Henderson, S, Hillesheim, J, Hnat, B, Horacek, J, Howard, J, Howell, D, Dunai, D, Fishpool, G, Gibson, K, Harrison, J, Highcock, E, Huang, B, Inomoto, M, Imazawa, R, Jones, O, Kadowaki, K, Kaye, S, Keeling, D, Kocan, M, Kogan, L, Komm, M, Lai, W, Leddy, J, Leggate, H, Imada, K, Klimek, I, Hollocombe, J, Lipschultz, B, Lisgo, S, Liu, YQ, Lloyd, B, Lomanowski, B, Lukin, V, Maddison, G, Madsen, J, Mailloux, J, Martin, R, McArdle, G, Lupelli, I, McClements, K, McMillan, B, Meakins, A, Meyer, H, Michael, C, Militello, F, Milnes, J, Motojima, G, Muir, D, Naylor, G, Nielsen, A, O'Brien, M, O'Mullane, M, Olsen, J, Omotani, J, Ono, Y, Pamela, S, Morris, AW, O'Gorman, T, Pangione, L, Parra, F, Patel, A, Peebles, W, Perez, R, Pinches, S, Piron, L, Price, M, Reinke, M, Ricci, P, Riva, F, Roach, C, Romanelli, M, Ryan, D, Saarelma, S, Saveliev, A, Scannell, R, Schekochihin, A, Sharapov, S, Sharples, R, Shevchenko, V, Shinohara, K, Silburn, S, Simpson, J, Stanier, A, Storrs, J, Summers, H, Takase, Y, Tamain, P, Tanabe, H, Tanaka, H, Tani, K, Taylor, D, Thomas, D, Thomas-Davies, N, Thornton, A, Turnyanskiy, M, Valovic, M, Vann, R, Van Wyk, F, Walkden, N, Watanabe, T, Wilson, H, Wischmeier, M, Yamada, T, Young, J, Zoletnik, S, Team, the MAST, Team, the EUROfusion MST1

New results from MAST are presented that focus on validating models in order to extrapolate to future devices. Measurements during start-up experiments have shown how the bulk ion temperature rise scales with the square of the reconnecting field. Dur

Externí odkaz: http://arxiv.org/abs/1611.06047

Evidence Cross-Validation and Bayesian Inference of MAST Plasma Equilibria

Autor: von Nessi, G. T., Hole, M. J., Svensson, J., Appel, L.

In this paper, current profiles for plasma discharges on the Mega-Ampere Spherical Tokamak (MAST) are directly calculated from pickup coil, flux loop and Motional-Stark Effect (MSE) observations via methods based in the statistical theory of Bayesian

Externí odkaz: http://arxiv.org/abs/1101.0183