Difference between revisions of "Meshflow.m"

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{{DISPLAYTITLE:meshflow.m}} __NOTOC__
 
{{DISPLAYTITLE:meshflow.m}} __NOTOC__
 +
 
First draft of the magnetohydrodynamics context for microfluidic simulations. Generates evolution generators and passes them on to the pulse sequence function, which should be supplied as a handle.
 
First draft of the magnetohydrodynamics context for microfluidic simulations. Generates evolution generators and passes them on to the pulse sequence function, which should be supplied as a handle.
  
 
==Syntax==
 
==Syntax==
  
    answer=meshflow(spin_system,pulse_sequence,parameters)
+
answer=meshflow(spin_system,pulse_sequence,parameters)
  
 
==Arguments==
 
==Arguments==
  
  pulse_sequence    - pulse sequence function handle. See the
+
pulse_sequence    - pulse sequence function handle. See the
 
                       experiments directory for the list of
 
                       experiments directory for the list of
 
                       pulse sequences that ship with Spinach.
 
                       pulse sequences that ship with Spinach.
 
The following phantoms must be specified: hamiltonian, relaxation, kinetics, initial condition, detection state. Operator phantoms must be specified in the following way:
 
  
                parameters.R_ph={Ph1,Ph2,...,PhN}
+
The following phantoms must be specified: hamiltonian, relaxation, ki-
                parameters.R_op={R1,R2,...,RN}
+
netics, initial condition, detection state. Operator phantoms must be
 +
specified in the following way:
  
where PhN have the same dimension as the sample voxel grid and RN are relaxation superoperators. Likewise for the following:
+
                  parameters.R_ph={Ph1,Ph2,...,PhN}
 +
                  parameters.R_op={R1,R2,...,RN}
  
                parameters.K_ph, parameters.K_op
+
where PhN have the same dimension as the sample voxel grid and RN are
                parameters.H_ph, parameters.H_op
+
relaxation superoperators. Likewise for the following:
  
The initial condition phantom reflects the fact that different voxels might start off in a different spin state. It must be specified in the following way:
+
                  parameters.K_ph, parameters.K_op
 +
                  parameters.H_ph, parameters.H_op
 +
 
 +
The initial condition phantom reflects the fact that different voxels
 +
might start off in a different spin state. It must be specified in the
 +
following way:
  
 
                 parameters.rho0_ph={Ph1,Ph2,...,PhN}
 
                 parameters.rho0_ph={Ph1,Ph2,...,PhN}
 
                 parameters.rho0_op={rho1,rho2,...,rhoN}
 
                 parameters.rho0_op={rho1,rho2,...,rhoN}
  
where PhN have the same dimension as the sample voxel grid and rhoN are spin states obtained from state() function.
+
where PhN have the same dimension as the sample voxel grid and rhoN are
 +
spin states obtained from state() function.
  
The detection state phantom reflects the fact that different voxels might be detected at different angles and with different sensitivity. It must be specified in the following way:
+
The detection state phantom reflects the fact that different voxels mi-
 +
ght be detected at different angles and with different sensitivity. It
 +
must be specified in the following way:
  
 
                 parameters.coil_ph={Ph1,Ph2,...,PhN}
 
                 parameters.coil_ph={Ph1,Ph2,...,PhN}
 
                 parameters.coil_op={rho1,rho2,...,rhoN}
 
                 parameters.coil_op={rho1,rho2,...,rhoN}
  
where PhN have the same dimension as the sample voxel grid and rhoN are spin states obtained from state() function.
+
where PhN have the same dimension as the sample voxel grid and rhoN are
 +
spin states obtained from state() function.
  
 
   parameters.*      - additional subfields may be required by your
 
   parameters.*      - additional subfields may be required by your
Line 44: Line 54:
  
 
==See also==
 
==See also==
 +
 
[[Kernel contexts]]
 
[[Kernel contexts]]
  
  
 
''Version 2.8, authors: [[Anupama Acharya]], [[Ilya Kuprov]]''
 
''Version 2.8, authors: [[Anupama Acharya]], [[Ilya Kuprov]]''

Revision as of 15:06, 5 April 2026


First draft of the magnetohydrodynamics context for microfluidic simulations. Generates evolution generators and passes them on to the pulse sequence function, which should be supplied as a handle.

Syntax

answer=meshflow(spin_system,pulse_sequence,parameters)

Arguments

pulse_sequence - pulse sequence function handle. See the

                      experiments directory for the list of
                      pulse sequences that ship with Spinach.
The following phantoms must be specified: hamiltonian, relaxation, ki-
netics, initial condition, detection state. Operator phantoms must be
specified in the following way:
                  parameters.R_ph={Ph1,Ph2,...,PhN}
                  parameters.R_op={R1,R2,...,RN}
where PhN have the same dimension as the sample voxel grid and RN are
relaxation superoperators. Likewise for the following:
                  parameters.K_ph, parameters.K_op
                  parameters.H_ph, parameters.H_op
The initial condition phantom reflects the fact that different voxels
might start off in a different spin state. It must be specified in the
following way:
                parameters.rho0_ph={Ph1,Ph2,...,PhN}
                parameters.rho0_op={rho1,rho2,...,rhoN}
where PhN have the same dimension as the sample voxel grid and rhoN are
spin states obtained from state() function.
The detection state phantom reflects the fact that different voxels mi-
ght be detected at different angles and with different sensitivity. It
must be specified in the following way:
                parameters.coil_ph={Ph1,Ph2,...,PhN}
                parameters.coil_op={rho1,rho2,...,rhoN}
where PhN have the same dimension as the sample voxel grid and rhoN are
spin states obtained from state() function.
 parameters.*       - additional subfields may be required by your
                      pulse sequence - check its documentation page

Outputs

This function returns whatever the pulse sequence returns.

See also

Kernel contexts


Version 2.8, authors: Anupama Acharya, Ilya Kuprov