Changeset 2c4a190 in sasmodels for sasmodels/multiscat.py
- Timestamp:
- Dec 13, 2018 11:08:26 AM (5 years ago)
- Branches:
- master, core_shell_microgels, magnetic_model, ticket-1257-vesicle-product, ticket_1156, ticket_1265_superball, ticket_822_more_unit_tests
- Children:
- 8803a38
- Parents:
- c6084f1
- File:
-
- 1 edited
Legend:
- Unmodified
- Added
- Removed
-
sasmodels/multiscat.py
rb3703f5 r2c4a190 342 342 343 343 *probability* is related to the expected number of scattering 344 events in the sample $\lambda$ as $p = 1 = e^{-\lambda}$. As a 345 hack to allow probability to be a fitted parameter, the "value" 346 can be a function that takes no parameters and returns the current 347 value of the probability. *coverage* determines how many scattering 348 steps to consider. The default is 0.99, which sets $n$ such that 349 $1 \ldots n$ covers 99% of the Poisson probability mass function. 344 events in the sample $\lambda$ as $p = 1 - e^{-\lambda}$. 345 *coverage* determines how many scattering steps to consider. The 346 default is 0.99, which sets $n$ such that $1 \ldots n$ covers 99% 347 of the Poisson probability mass function. 350 348 351 349 *is2d* is True then 2D scattering is used, otherwise it accepts … … 399 397 self.qmin = qmin 400 398 self.nq = nq 401 self.probability = probability399 self.probability = 0. if probability is None else probability 402 400 self.coverage = coverage 403 401 self.is2d = is2d … … 456 454 self.Iqxy = None # type: np.ndarray 457 455 456 # Label probability as a fittable parameter, and give its external name 457 # Note that the external name must be a valid python identifier, since 458 # is will be set as an experiment attribute. 459 self.fittable = {'probability': 'scattering_probability'} 460 458 461 def apply(self, theory): 459 462 if self.is2d: … … 463 466 Iq_calc = Iq_calc.reshape(self.nq, self.nq) 464 467 468 # CRUFT: don't need probability as a function anymore 465 469 probability = self.probability() if callable(self.probability) else self.probability 466 470 coverage = self.coverage
Note: See TracChangeset
for help on using the changeset viewer.