Difference between revisions of "Dist range.m"

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==See also==
 
==See also==
−
[[deer_lib_gen.m]], [[deernet.m]], [[deernet_bckg.m]], [[deer_resample.m]]
+
[[Neural network module]]
 +
 
 +
[[Built-in_experiments#DEER.2FPELDOR_experiments|DEER/PELDOR experiments]]
  
  
 
''Version 2.5, authors: [[Jake Keeley]], [[Ilya Kuprov]]''
 
''Version 2.5, authors: [[Jake Keeley]], [[Ilya Kuprov]]''

Revision as of 11:57, 20 September 2020

Distance range estimation for uniform DEER sampling grids, assuming free electron magnetogyric ratios. The minimum distance is estimated from the Nyquist-Shannon condition on the largest frequency the grid can sample. The maximum distance is obtained from the smallest frequency for which the half-period condition is used.

Syntax

    [rmin,rmax]=dist_range(np,tmax)

Arguments

     np  -  number of points in the time grid

   tmax  -  the time (seconds) of the last po-
            int in the grid if the first one 
            is zero

Outputs

   rmin  -  minimum distance supported by the
            grid, Angstrom 

   rmax  -  maximum distance supported by the 
            grid, Angstrom

Examples

For a 2 microsecond DEER trace containing 512 points:

 >> [rmin,rmax]=dist_range(512,2e-6)

 rmin = 7.4082

 rmax = 59.2655

See also

Neural network module

DEER/PELDOR experiments


Version 2.5, authors: Jake Keeley, Ilya Kuprov