Changeset 48462b0 in sasmodels for sasmodels/models/gauss_lorentz_gel.py

Timestamp:

Jul 30, 2017 11:24:42 PM (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:

109d963

Parents:

404ebbd

Message:

tuned random model generation for even more models

File:

• sasmodels/models/gauss_lorentz_gel.py (modified) (2 diffs)

sasmodels/models/gauss_lorentz_gel.py

@@ -3 +3 @@
 but typically a physical rather than chemical network.
 It is modeled as a sum of a low-q exponential decay (which happens to
-give a functional form similar to Guinier scattering, so interpret with 
+give a functional form similar to Guinier scattering, so interpret with
 care) plus a Lorentzian at higher-q values. See also the gel_fit model.
 
@@ -88 +88 @@
 
 
+def random():
+    import numpy as np
+    gauss_scale = 10**np.random.uniform(1, 3)
+    lorentz_scale = 10**np.random.uniform(1, 3)
+    cor_length_static = 10**np.random.uniform(0, 3)
+    cor_length_dynamic = 10**np.random.uniform(0, 3)
+    pars = dict(
+        #background=0,
+        scale=1,
+        gauss_scale=gauss_scale,
+        lorentz_scale=lorentz_scale,
+        cor_length_static=cor_length_static,
+        cor_length_dynamic=cor_length_dynamic,
+    )
+    return pars
+
+
 demo = dict(scale=1, background=0.1,
             gauss_scale=100.0,