Changeset 404ebbd in sasmodels for sasmodels/models/sc_paracrystal.py

Timestamp:

Jul 30, 2017 12:56:22 AM (7 years ago)

Author:

Paul Kienzle <pkienzle@…>

Branches:

master, core_shell_microgels, costrafo411, magnetic_model, ticket-1257-vesicle-product, ticket_1156, ticket_1265_superball, ticket_822_more_unit_tests

Children:

48462b0

Parents:

a151caa

Message:

tuned random model generation for more models

File:

• sasmodels/models/sc_paracrystal.py (modified) (1 diff)

sasmodels/models/sc_paracrystal.py

@@ -138 +138 @@
 source = ["lib/sas_3j1x_x.c", "lib/sphere_form.c", "lib/gauss150.c", "sc_paracrystal.c"]
 
+def random():
+    import numpy as np
+    # Define lattice spacing as a multiple of the particle radius
+    # using the formulat a = 4 r/sqrt(3).  Systems which are ordered
+    # are probably mostly filled, so use a distribution which goes from
+    # zero to one, but leaving 90% of them within 80% of the
+    # maximum bcc packing.  Lattice distortion values are empirically
+    # useful between 0.01 and 0.7.  Use an exponential distribution
+    # in this range 'cuz its easy.
+    dnn_fraction = np.random.beta(a=10, b=1)
+    pars = dict(
+        #sld=1, sld_solvent=0, scale=1, background=1e-32,
+        radius=10**np.random.uniform(1.3, 4),
+        d_factor=10**np.random.uniform(-2, -0.7),  # sigma_d in 0.01-0.7
+    )
+    pars['dnn'] = pars['radius']*4/np.sqrt(3)/dnn_fraction
+    #pars['scale'] = 1/(0.68*dnn_fraction**3)  # bcc packing fraction is 0.68
+    pars['scale'] = 1
+    return pars
+
 demo = dict(scale=1, background=0,
             dnn=220.0,