Difference between revisions of "Grad pulse.m"
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− | # '''WARNING''' This function integrates over the spatial coordinate after the gradient pulse is completed - subsequent gradient pulses would not refocus the magnetization that | + | # '''WARNING''' This function integrates over the spatial coordinate after the gradient pulse is completed - subsequent gradient pulses would not refocus the magnetization that this function removed because it is removed mathematically. If your experiment has multiple gradient pulses, you must model the spatially distributed spin dynamics explicitly using [[imaging.m]] context. |
# More information on the subject is available in Luke's paper (http://dx.doi.org/10.1016/j.jmr.2014.01.011). | # More information on the subject is available in Luke's paper (http://dx.doi.org/10.1016/j.jmr.2014.01.011). | ||
Revision as of 09:54, 25 August 2019
Emulates the effect of a gradient pulse on the sample average density matrix using Edwards formalism. It is assumed that the effect of diffusion is negligible, that the gradient is linear, and that it is antisymmetric about the middle of the sample.
Contents
Syntax
rho=grad_pulse(spin_system,rho,g_amp,s_len,g_dur,s_fac)
Arguments
rho - spin system state vector L - system Liouvillian g_amp - gradient amplitude, Gauss/cm s_len - sample length, cm g_dur - gradient pulse duration, seconds s_fac - gradient shape factor, use 1 for square gradient pulses
Outputs
rho - spin system state vector, integrated over the spatial coordinate
Examples
See examples/fundamentals/gradient_test_1.m file for an example of using this function.
Notes
- WARNING This function integrates over the spatial coordinate after the gradient pulse is completed - subsequent gradient pulses would not refocus the magnetization that this function removed because it is removed mathematically. If your experiment has multiple gradient pulses, you must model the spatially distributed spin dynamics explicitly using imaging.m context.
- More information on the subject is available in Luke's paper (http://dx.doi.org/10.1016/j.jmr.2014.01.011).
See also
Version 2.2, authors: Luke Edwards, Ilya Kuprov