Changeset d138d43 in sasmodels for sasmodels/sasview_model.py
- Timestamp:
- Nov 30, 2015 2:24:28 PM (8 years ago)
- Branches:
- master, core_shell_microgels, costrafo411, magnetic_model, release_v0.94, release_v0.95, ticket-1257-vesicle-product, ticket_1156, ticket_1265_superball, ticket_822_more_unit_tests
- Children:
- eb69cce
- Parents:
- 1ec7efa
- File:
-
- 1 edited
Legend:
- Unmodified
- Added
- Removed
-
sasmodels/sasview_model.py
raa4946b rd138d43 229 229 230 230 def evalDistribution(self, qdist): 231 """231 r""" 232 232 Evaluate a distribution of q-values. 233 233 234 * For 1D, a numpy array is expected as input: :: 234 :param qdist: array of q or a list of arrays [qx,qy] 235 236 * For 1D, a numpy array is expected as input 237 238 :: 235 239 236 240 evalDistribution(q) 237 241 238 where q is a numpy array. 239 240 * For 2D, a list of numpy arrays are expected: [qx,qy], 241 with 1D arrays:: 242 where *q* is a numpy array. 243 244 * For 2D, a list of *[qx,qy]* is expected with 1D arrays as input 245 246 :: 242 247 243 248 qx = [ qx[0], qx[1], qx[2], ....] 244 245 and::246 247 249 qy = [ qy[0], qy[1], qy[2], ....] 248 250 249 Then get :: 250 251 q = numpy.sqrt(qx^2+qy^2) 252 253 that is a qr in 1D array:: 254 255 q = [q[0], q[1], q[2], ....] 256 257 258 :param qdist: ndarray of scalar q-values or list [qx,qy] 259 where qx,qy are 1D ndarrays 251 If the model is 1D only, then 252 253 .. math:: 254 255 q = \sqrt{q_x^2+q_y^2} 256 260 257 """ 261 258 if isinstance(qdist, (list, tuple)):
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