Difference between revisions of "Ngridpts.m"
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Estimates the minimum number of spatial grid points necessary to have a valid treatment of gradient driven experiments with explicit digitization of spatial dimensions. | Estimates the minimum number of spatial grid points necessary to have a valid treatment of gradient driven experiments with explicit digitization of spatial dimensions. | ||
==Syntax== | ==Syntax== | ||
| − | + | n=ngridpts(grad_amps,grad_durs,isotope,max_coh_order,sample_size) | |
| − | |||
| − | |||
| − | |||
==Arguments== | ==Arguments== | ||
| − | + | grad_amps - a row vector of all gradient amplitudes | |
in the sequence, T/m | in the sequence, T/m | ||
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==Outputs== | ==Outputs== | ||
| − | + | n - the minimum recommended number of discretisation points | |
==Notes== | ==Notes== | ||
| + | |||
The function returns the minimum number of points, it may in practice be necessary to have several times the number, depending on your accuracy requirements. | The function returns the minimum number of points, it may in practice be necessary to have several times the number, depending on your accuracy requirements. | ||
==See also== | ==See also== | ||
| + | |||
[[imaging.m]], [[fdmat.m]], [[hydrodynamics.m]] | [[imaging.m]], [[fdmat.m]], [[hydrodynamics.m]] | ||
''Version 2.1, authors: [[Ilya Kuprov]]'' | ''Version 2.1, authors: [[Ilya Kuprov]]'' | ||
| + | |||
| + | ==Description== | ||
| + | |||
| + | The function checks the Larmor condition for the tightest possible gradient spiral. | ||
Revision as of 15:03, 5 April 2026
Estimates the minimum number of spatial grid points necessary to have a valid treatment of gradient driven experiments with explicit digitization of spatial dimensions.
Syntax
n=ngridpts(grad_amps,grad_durs,isotope,max_coh_order,sample_size)
Arguments
grad_amps - a row vector of all gradient amplitudes
in the sequence, T/m
grad_durs - a row vector of all gradient durations
in the sequence, s
isotope - the highest magnetogyric ratio isotope in
the spin system, e.g. '1H'
max_coh_order - maximum order of coherence (either positive
or negative) expected during the experiment
being simulated
sample_size - spatial extent of the sample, m
Outputs
n - the minimum recommended number of discretisation points
Notes
The function returns the minimum number of points, it may in practice be necessary to have several times the number, depending on your accuracy requirements.
See also
imaging.m, fdmat.m, hydrodynamics.m
Version 2.1, authors: Ilya Kuprov
Description
The function checks the Larmor condition for the tightest possible gradient spiral.