[34c3020] | 1 | #!/usr/bin/env python |
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| 2 | """ |
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| 3 | This software was developed by the University of Tennessee as part of the |
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| 4 | Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 5 | project funded by the US National Science Foundation. |
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| 6 | |
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| 7 | If you use DANSE applications to do scientific research that leads to |
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| 8 | publication, we ask that you acknowledge the use of the software with the |
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| 9 | following sentence: |
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| 10 | |
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| 11 | "This work benefited from DANSE software developed under NSF award DMR-0520547." |
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| 12 | |
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| 13 | copyright 2008, University of Tennessee |
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| 14 | """ |
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| 15 | |
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| 16 | """ Provide functionality for a C extension model |
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| 17 | |
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| 18 | WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY |
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| 19 | DO NOT MODIFY THIS FILE, MODIFY ..\c_extensions\lamellar.h |
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| 20 | AND RE-RUN THE GENERATOR SCRIPT |
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| 21 | |
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| 22 | """ |
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| 23 | |
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| 24 | from sans.models.BaseComponent import BaseComponent |
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| 25 | from sans_extension.c_models import CLamellarModel |
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| 26 | import copy |
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| 27 | |
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| 28 | class LamellarModel(CLamellarModel, BaseComponent): |
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| 29 | """ Class that evaluates a LamellarModel model. |
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| 30 | This file was auto-generated from ..\c_extensions\lamellar.h. |
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| 31 | Refer to that file and the structure it contains |
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| 32 | for details of the model. |
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| 33 | List of default parameters: |
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| 34 | scale = 1.0 |
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| 35 | delta = 50.0 [A] |
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| 36 | sigma = 0.15 |
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| 37 | contrast = 5.3e-006 [1/A²] |
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| 38 | background = 0.0 [1/cm] |
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| 39 | |
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| 40 | """ |
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| 41 | |
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| 42 | def __init__(self): |
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| 43 | """ Initialization """ |
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| 44 | |
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| 45 | # Initialize BaseComponent first, then sphere |
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| 46 | BaseComponent.__init__(self) |
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| 47 | CLamellarModel.__init__(self) |
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| 48 | |
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| 49 | ## Name of the model |
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| 50 | self.name = "LamellarModel" |
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| 51 | ## Model description |
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| 52 | self.description =""" I(q)= 2*pi*P(q)/(delta *q^(2)) |
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| 53 | where: |
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| 54 | P(q)=2*(contrast/q)^(2)*(1-cos(q*delta)*e^(1/2*(q*sigma)^(2))""" |
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| 55 | |
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| 56 | ## Parameter details [units, min, max] |
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| 57 | self.details = {} |
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| 58 | self.details['scale'] = ['', None, None] |
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| 59 | self.details['delta'] = ['[A]', None, None] |
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| 60 | self.details['sigma'] = ['', None, None] |
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| 61 | self.details['contrast'] = ['[1/A²]', None, None] |
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| 62 | self.details['background'] = ['[1/cm]', None, None] |
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| 63 | |
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| 64 | ## fittable parameters |
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| 65 | self.fixed=['delta.width'] |
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| 66 | |
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| 67 | ## parameters with orientation |
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| 68 | self.orientation_params =[] |
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| 69 | |
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| 70 | def clone(self): |
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| 71 | """ Return a identical copy of self """ |
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| 72 | return self._clone(LamellarModel()) |
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| 73 | |
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| 74 | def run(self, x = 0.0): |
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| 75 | """ Evaluate the model |
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| 76 | @param x: input q, or [q,phi] |
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| 77 | @return: scattering function P(q) |
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| 78 | """ |
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| 79 | |
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| 80 | return CLamellarModel.run(self, x) |
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| 81 | |
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| 82 | def runXY(self, x = 0.0): |
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| 83 | """ Evaluate the model in cartesian coordinates |
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| 84 | @param x: input q, or [qx, qy] |
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| 85 | @return: scattering function P(q) |
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| 86 | """ |
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| 87 | |
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| 88 | return CLamellarModel.runXY(self, x) |
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| 89 | |
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| 90 | def set_dispersion(self, parameter, dispersion): |
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| 91 | """ |
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| 92 | Set the dispersion object for a model parameter |
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| 93 | @param parameter: name of the parameter [string] |
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| 94 | @dispersion: dispersion object of type DispersionModel |
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| 95 | """ |
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| 96 | return CLamellarModel.set_dispersion(self, parameter, dispersion.cdisp) |
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| 97 | |
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| 98 | |
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| 99 | # End of file |
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