Changeset 5eb9154 in sasview for sansmodels/src/sans/models/c_models/CHollowCylinderModel.cpp

Timestamp:

Aug 31, 2009 5:25:44 PM (15 years ago)

Author:

Jae Cho <jhjcho@…>

Branches:

master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

5be36bb

Parents:

572beba

Message:

calculation of the effective radius are added

File:

• sansmodels/src/sans/models/c_models/CHollowCylinderModel.cpp (modified) (3 diffs)

sansmodels/src/sans/models/c_models/CHollowCylinderModel.cpp

@@ -384 +384 @@
         }       
 }
-
 /**
- * Function to call to evaluate model in cartesian coordinates
- * @param args: input q or [qx, qy]]
- * @return: function value
+ * Function to call to calculate_ER
+ * @return: effective radius value 
  */
-static PyObject * runXY(CHollowCylinderModel *self, PyObject *args) {
-        double qx_value, qy_value;
+static PyObject * calculate_ER(CHollowCylinderModel *self) {
+
         PyObject* pars;
         int npars;
@@ -420 +418 @@
     self->model->axis_phi.dispersion->accept_as_destination(visitor, self->model->axis_phi.dispersion, disp_dict);
 
+                
+        return Py_BuildValue("d",(*(self->model)).calculate_ER());
+
+}
+/**
+ * Function to call to evaluate model in cartesian coordinates
+ * @param args: input q or [qx, qy]]
+ * @return: function value
+ */
+static PyObject * runXY(CHollowCylinderModel *self, PyObject *args) {
+        double qx_value, qy_value;
+        PyObject* pars;
+        int npars;
+        
+        // Get parameters
+        
+            // Reader parameter dictionary
+    self->model->scale = PyFloat_AsDouble( PyDict_GetItemString(self->params, "scale") );
+    self->model->core_radius = PyFloat_AsDouble( PyDict_GetItemString(self->params, "core_radius") );
+    self->model->axis_theta = PyFloat_AsDouble( PyDict_GetItemString(self->params, "axis_theta") );
+    self->model->length = PyFloat_AsDouble( PyDict_GetItemString(self->params, "length") );
+    self->model->axis_phi = PyFloat_AsDouble( PyDict_GetItemString(self->params, "axis_phi") );
+    self->model->radius = PyFloat_AsDouble( PyDict_GetItemString(self->params, "radius") );
+    self->model->background = PyFloat_AsDouble( PyDict_GetItemString(self->params, "background") );
+    self->model->contrast = PyFloat_AsDouble( PyDict_GetItemString(self->params, "contrast") );
+    // Read in dispersion parameters
+    PyObject* disp_dict;
+    DispersionVisitor* visitor = new DispersionVisitor();
+    disp_dict = PyDict_GetItemString(self->dispersion, "core_radius");
+    self->model->core_radius.dispersion->accept_as_destination(visitor, self->model->core_radius.dispersion, disp_dict);
+    disp_dict = PyDict_GetItemString(self->dispersion, "radius");
+    self->model->radius.dispersion->accept_as_destination(visitor, self->model->radius.dispersion, disp_dict);
+    disp_dict = PyDict_GetItemString(self->dispersion, "length");
+    self->model->length.dispersion->accept_as_destination(visitor, self->model->length.dispersion, disp_dict);
+    disp_dict = PyDict_GetItemString(self->dispersion, "axis_theta");
+    self->model->axis_theta.dispersion->accept_as_destination(visitor, self->model->axis_theta.dispersion, disp_dict);
+    disp_dict = PyDict_GetItemString(self->dispersion, "axis_phi");
+    self->model->axis_phi.dispersion->accept_as_destination(visitor, self->model->axis_phi.dispersion, disp_dict);
+
         
         // Get input and determine whether we have to supply a 1D or 2D return value.
@@ -503 +540 @@
     {"runXY",      (PyCFunction)runXY     , METH_VARARGS,
       "Evaluate the model at a given Q or Qx, Qy"},
+    {"calculate_ER",      (PyCFunction)calculate_ER     , METH_VARARGS,
+      "Evaluate the model at a given Q or Q, phi"},
       
     {"evalDistribution",  (PyCFunction)evalDistribution , METH_VARARGS,