Changeset c3ccaec in sasmodels for sasmodels/models/unified_power_Rg.py


Ignore:
Timestamp:
Feb 7, 2017 12:10:50 PM (7 years ago)
Author:
GitHub <noreply@…>
Branches:
master, core_shell_microgels, costrafo411, magnetic_model, ticket-1257-vesicle-product, ticket_1156, ticket_1265_superball, ticket_822_more_unit_tests
Children:
a90aa1c
Parents:
aa107ef (diff), fe8ff99 (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
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git-author:
Paul Kienzle <pkienzle@…> (02/07/17 12:10:50)
git-committer:
GitHub <noreply@…> (02/07/17 12:10:50)
Message:

Merge branch 'master' into ticket-815

File:
1 edited

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  • sasmodels/models/unified_power_Rg.py

    r0542fe1 rc3ccaec  
    33---------- 
    44 
    5 The Beaucage model employs the empirical multiple level unified 
    6 Exponential/Power-law fit method developed by G. Beaucage. Four functions 
    7 are included so that 1, 2, 3, or 4 levels can be used. In addition a 0 level 
    8 has been added which simply calculates 
     5This model employs the empirical multiple level unified Exponential/Power-law  
     6fit method developed by Beaucage. Four functions are included so that 1, 2, 3,  
     7or 4 levels can be used. In addition a 0 level has been added which simply  
     8calculates 
    99 
    1010.. math:: 
     
    1515many different types of particles, including fractal clusters, random coils 
    1616(Debye equation), ellipsoidal particles, etc. 
     17 
     18The model works best for mass fractal systems characterized by Porod exponents  
     19between 5/3 and 3. It should not be used for surface fractal systems. Hammouda  
     20(2010) has pointed out a deficiency in the way this model handles the  
     21transitioning between the Guinier and Porod regimes and which can create  
     22artefacts that appear as kinks in the fitted model function. 
     23 
     24Also see the Guinier_Porod model. 
    1725 
    1826The empirical fit function is: 
     
    3038.. math:: 
    3139 
    32     q_i^* = \frac{q}{\operatorname{erf}^3(q R_{gi}/\sqrt{6}} 
     40    q_i^* = q \left[\operatorname{erf} 
     41            \left(\frac{q R_{gi}}{\sqrt{6}}\right) 
     42        \right]^{-3} 
    3343 
    3444 
     
    5666 
    5767G Beaucage, *J. Appl. Cryst.*, 29 (1996) 134-146 
     68 
     69B Hammouda, *Analysis of the Beaucage model, J. Appl. Cryst.*, (2010), 43, 1474-1478 
    5870 
    5971""" 
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