- Timestamp:
- Sep 18, 2018 3:40:20 AM (6 years ago)
- Branches:
- master, core_shell_microgels, magnetic_model, ticket-1257-vesicle-product, ticket_1156, ticket_1265_superball, ticket_822_more_unit_tests
- Children:
- f64b154, c11d09f, dd16e07
- Parents:
- 2c12061
- File:
-
- 1 edited
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doc/guide/plugin.rst
rf796469 r2015f02 423 423 calculations, but instead rely on numerical integration to compute the 424 424 appropriately smeared pattern. 425 426 Each .py file also contains a function:: 427 428 def random(): 429 ... 430 431 This function provides a model-specific random parameter set which shows model 432 features in the USANS to SANS range. For example, core-shell sphere sets the 433 outer radius of the sphere logarithmically in `[20, 20,000]`, which sets the Q 434 value for the transition from flat to falling. It then uses a beta distribution 435 to set the percentage of the shape which is shell, giving a preference for very 436 thin or very thick shells (but never 0% or 100%). Using `-sets=10` in sascomp 437 should show a reasonable variety of curves over the default sascomp q range. 438 The parameter set is returned as a dictionary of `{parameter: value, ...}`. 439 Any model parameters not included in the dictionary will default according to 440 the code in the `_randomize_one()` function from sasmodels/compare.py. 425 441 426 442 Python Models
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