Difference between revisions of "Kernel contexts"
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# [[floquet.m]] - single rotation simulations using Floquet formalism for the rotation part and a spherical grid for the powder average operation. | # [[floquet.m]] - single rotation simulations using Floquet formalism for the rotation part and a spherical grid for the powder average operation. | ||
# [[gridfree.m]] - single rotation simulations using Fokker-Planck formalism for both the rotation part and the powder average operation. This module also supports stochastic Liouville equation formalism for spin relaxation theory. | # [[gridfree.m]] - single rotation simulations using Fokker-Planck formalism for both the rotation part and the powder average operation. This module also supports stochastic Liouville equation formalism for spin relaxation theory. | ||
| − | # [[imaging.m]] - | + | # [[imaging.m]] - imaging and spatial encoding simulations. |
# [[liquid.m]] - liquid state simulations. | # [[liquid.m]] - liquid state simulations. | ||
# [[powder.m]] - static powder simulations using a spherical grid for the powder average operation. | # [[powder.m]] - static powder simulations using a spherical grid for the powder average operation. | ||
Revision as of 11:33, 9 July 2017
A context is an intermediate layer between the kernel (which runs the mathematics) and the experiment (which is programmed as it would be on a spectrometer). Context functions are responsible for setting up rotating frame transformations, transmitter offsets, powder averages, magic angle spinning and other such matters. The following contexts are available:
- crystal.m - single static orientation simulations.
- doublerot.m - double rotation simulations using Fokker-Planck formalism for the rotation part and a spherical grid for the powder average operation.
- floquet.m - single rotation simulations using Floquet formalism for the rotation part and a spherical grid for the powder average operation.
- gridfree.m - single rotation simulations using Fokker-Planck formalism for both the rotation part and the powder average operation. This module also supports stochastic Liouville equation formalism for spin relaxation theory.
- imaging.m - imaging and spatial encoding simulations.
- liquid.m - liquid state simulations.
- powder.m - static powder simulations using a spherical grid for the powder average operation.
- roadmap.m - static powder simulations using a spherical grid. Simulation results are returned as an array with an answer reported at each orientation found in the spherical grid.
- singlerot.m - single rotation simulations using Fokker-Planck formalism for the rotation part and a spherical grid for the powder average operation.
Call syntax for spectroscopy contexts
All context functions, except for imaging.m have the same call syntax, e.g.:
answer=doublerot(spin_system,pulse_sequence,parameters,assumptions);
and call experiment functions using the same syntax:
answer=pulse_sequence(spin_system,parameters,H,R,K);
where H is the Hamiltonian commutation superoperator, R is the relaxation superoperator, and K is the kinetics superoperator. The parameter lists of different pulse sequences are broadly similar. This allows rapid switching of the simulation context by simply calling the same experiment from a different context.
Call syntax for imaging contexts
The imaging context has a similar call:
answer=imaging(spin_system,pulse_sequence,parameters)
but the assumptions are set internally to 'nmr' and the pulse sequence must have the following syntax:
answer=pulse_sequence(spin_system,parameters,H,R,K,G,F);
where H is the Hamiltonian commutation superoperator, R is the relaxation superoperator, K is the kinetics superoperator, G is a cell array of three gradient operators normalized to 1 Tesla/m, and F is the diffusion and flow superoperator.