SIESTA: Difference between revisions

(One intermediate revision by the same user not shown)

Line 1:

SIESTA is ~~a new~~ ideal [[MHD equilibrium|MHD 3D-equilibrium]] solver, capable of dealing with [[Magnetic island|magnetic islands]] and stochastic regions in a fast, accurate and scalable manner.

SIESTA is an ideal [[MHD equilibrium|MHD 3D-equilibrium]] solver, capable of dealing with [[Magnetic island|magnetic islands]] and stochastic regions in a fast, accurate and scalable manner.

<ref>[http://epsppd.epfl.ch/Hersonissos/pdf/P2_058.pdf S.P. Hirschmann, R. Sánchez, V.E. Lynch, E.F. D'Azevedo, J.C. Hill, ''SIESTA: A Scalable Iterative Equilibrium Solver for Toroidal Applications'', 25<sup>th</sup> EPS Conference on Plasma Physics, ECA '''32D''' (2008) P-2.058] (or [https://info.fusion.ciemat.es/OCS/EPS2008/pdf/P2_058.pdf ~~35th EPS Conference on Plasma Phys. Hersonissos, 9 - 13 June 2008 ECA Vol.32D, P-2.058 (2008)~~])</ref>

<ref>S. P. Hirshman, R. Sanchez, and C. R. Cook, ''SIESTA: A scalable iterative equilibrium solver for toroidal applications'', [[doi:10.1063/1.3597155|Phys. Plasmas 18, 062504 (2011)]]</ref>

<ref>[http://epsppd.epfl.ch/Hersonissos/pdf/P2_058.pdf S.P. Hirschmann, R. Sánchez, V.E. Lynch, E.F. D'Azevedo, J.C. Hill, ''SIESTA: A Scalable Iterative Equilibrium Solver for Toroidal Applications'', 35<sup>th</sup> EPS Conference on Plasma Physics, ECA '''32D''' (2008) P-2.058] ([https://info.fusion.ciemat.es/OCS/EPS2008/pdf/P2_058.pdf alternative link])</ref>

The SIESTA code will complement other existent 3D MHD island solvers and is particularly suited for applications that require not only accuracy but speed of evaluation as well, such as experimental 3D equilibrium reconstruction or stellarator design. SIESTA will also be useful to calculate MHD equilibria at very high spatial resolutions, such as those that might be required for the investigation of NTMs at [[ITER]]-relevant temperature and resistivity conditions. SIESTA is based on a preconditioned, iterative algorithm that takes advantage of a pre-existent [[VMEC]] solution to provide both a background coordinate system that guarantees a compact representation as well as a good initial guess for the iterative procedure.

@@ Line 1: / Line 1: @@
-SIESTA is a new ideal [[MHD equilibrium|MHD 3D-equilibrium]] solver, capable of dealing with [[Magnetic island|magnetic islands]] and stochastic regions in a fast, accurate and scalable manner.
+SIESTA is an ideal [[MHD equilibrium|MHD 3D-equilibrium]] solver, capable of dealing with [[Magnetic island|magnetic islands]] and stochastic regions in a fast, accurate and scalable manner.
-<ref>[http://epsppd.epfl.ch/Hersonissos/pdf/P2_058.pdf S.P. Hirschmann, R. Sánchez, V.E. Lynch, E.F. D'Azevedo, J.C. Hill, ''SIESTA: A Scalable Iterative Equilibrium Solver for Toroidal Applications'', 25<sup>th</sup> EPS Conference on Plasma Physics, ECA '''32D''' (2008) P-2.058] (or [https://info.fusion.ciemat.es/OCS/EPS2008/pdf/P2_058.pdf 35th EPS Conference on Plasma Phys. Hersonissos, 9 - 13 June 2008 ECA Vol.32D, P-2.058 (2008)])</ref>
+<ref>S. P. Hirshman, R. Sanchez, and C. R. Cook, ''SIESTA: A scalable iterative equilibrium solver for toroidal applications'', [[doi:10.1063/1.3597155|Phys. Plasmas 18, 062504 (2011)]]</ref>
+<ref>[http://epsppd.epfl.ch/Hersonissos/pdf/P2_058.pdf S.P. Hirschmann, R. Sánchez, V.E. Lynch, E.F. D'Azevedo, J.C. Hill, ''SIESTA: A Scalable Iterative Equilibrium Solver for Toroidal Applications'', 35<sup>th</sup> EPS Conference on Plasma Physics, ECA '''32D''' (2008) P-2.058] ([https://info.fusion.ciemat.es/OCS/EPS2008/pdf/P2_058.pdf alternative link])</ref>
 The SIESTA code will complement other existent 3D MHD island solvers and is particularly suited for applications that require not only accuracy but speed of evaluation as well, such as experimental 3D equilibrium reconstruction or stellarator design. SIESTA will also be useful to calculate MHD equilibria at very high spatial resolutions, such as those that might be required for the investigation of NTMs at [[ITER]]-relevant temperature and resistivity conditions. SIESTA is based on a preconditioned, iterative algorithm that takes advantage of a pre-existent [[VMEC]] solution to provide both a background coordinate system that guarantees a compact representation as well as a good initial guess for the iterative procedure.