r4941 - in /branches/N_state_model: ./ prompt/diffusion_tensor.py -- February 11, 2008 - 13:16

Author: bugman
Date: Mon Feb 11 13:16:03 2008
New Revision: 4941

URL: http://svn.gna.org/viewcvs/relax?rev=4941&view=rev
Log:
Merged revisions 4939 via svnmerge from 
svn+ssh://bugman@xxxxxxxxxxx/svn/relax/1.3

........
  r4939 | semor | 2008-02-08 19:24:56 +0100 (Fri, 08 Feb 2008) | 9 lines
  
  Corrected a few errors in the manual concerning the diffusion_tensor.init() 
function.
  
  Some wrong 'param_types' were given in the examples.
  
  This was pointed in a post by Sebastien morin at:
  https://mail.gna.org/public/relax-devel/2008-02/msg00004.html (Message-id:
  <47AC8138.9050703@xxxxxxxxx>)
........

Modified:
    branches/N_state_model/   (props changed)
    branches/N_state_model/prompt/diffusion_tensor.py

Propchange: branches/N_state_model/
------------------------------------------------------------------------------
Binary property 'svnmerge-integrated' - no diff available.

Modified: branches/N_state_model/prompt/diffusion_tensor.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/N_state_model/prompt/diffusion_tensor.py?rev=4941&r1=4940&r2=4941&view=diff
==============================================================================
--- branches/N_state_model/prompt/diffusion_tensor.py (original)
+++ branches/N_state_model/prompt/diffusion_tensor.py Mon Feb 11 13:16:03 2008
@@ -363,20 +363,20 @@
         To select axially symmetric diffusion with a tm value of 8.5 ns, 
Dratio of 1.1, theta value
         of 20 degrees, and phi value of 20 degrees, type:
 
-        relax> diffusion_tensor((8.5e-9, 1.1, 20.0, 20.0), param_types=1)
+        relax> diffusion_tensor((8.5e-9, 1.1, 20.0, 20.0), param_types=2)
 
 
         To select a spheroid diffusion tensor with a Dpar value of 1.698e7, 
Dper value of 1.417e7,
         theta value of 67.174 degrees, and phi value of -83.718 degrees, 
type one of:
 
-        relax> diffusion_tensor((1.698e7, 1.417e7, 67.174, -83.718), 
param_types=1)
-        relax> diffusion_tensor(params=(1.698e7, 1.417e7, 67.174, -83.718), 
param_types=1)
-        relax> diffusion_tensor((1.698e-1, 1.417e-1, 67.174, -83.718), 
param_types=1, d_scale=1e8)
-        relax> diffusion_tensor(params=(1.698e-1, 1.417e-1, 67.174, 
-83.718), param_types=1,
+        relax> diffusion_tensor((1.698e7, 1.417e7, 67.174, -83.718), 
param_types=3)
+        relax> diffusion_tensor(params=(1.698e7, 1.417e7, 67.174, -83.718), 
param_types=3)
+        relax> diffusion_tensor((1.698e-1, 1.417e-1, 67.174, -83.718), 
param_types=3, d_scale=1e8)
+        relax> diffusion_tensor(params=(1.698e-1, 1.417e-1, 67.174, 
-83.718), param_types=3,
                                 d_scale=1e8)
-        relax> diffusion_tensor((1.698e-1, 1.417e-1, 1.1724, -1.4612), 
param_types=1, d_scale=1e8,
+        relax> diffusion_tensor((1.698e-1, 1.417e-1, 1.1724, -1.4612), 
param_types=3, d_scale=1e8,
                                 angle_units='rad')
-        relax> diffusion_tensor(params=(1.698e-1, 1.417e-1, 1.1724, 
-1.4612), param_types=1,
+        relax> diffusion_tensor(params=(1.698e-1, 1.417e-1, 1.1724, 
-1.4612), param_types=3,
                                 d_scale=1e8, angle_units='rad', fixed=1)