[ae3ce4e] | 1 | #!/usr/bin/env python |
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[95986b5] | 2 | |
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[79ac6f8] | 3 | ############################################################################## |
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| 4 | # This software was developed by the University of Tennessee as part of the |
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| 5 | # Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 6 | # project funded by the US National Science Foundation. |
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| 7 | # |
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| 8 | # If you use DANSE applications to do scientific research that leads to |
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| 9 | # publication, we ask that you acknowledge the use of the software with the |
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| 10 | # following sentence: |
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| 11 | # |
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| 12 | # "This work benefited from DANSE software developed under NSF award DMR-0520547." |
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| 13 | # |
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| 14 | # copyright 2008, University of Tennessee |
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| 15 | ############################################################################## |
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[95986b5] | 16 | |
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| 17 | |
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[79ac6f8] | 18 | """ |
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| 19 | Provide functionality for a C extension model |
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[ae3ce4e] | 20 | |
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[79ac6f8] | 21 | :WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY |
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| 22 | DO NOT MODIFY THIS FILE, MODIFY ..\c_extensions\sphere.h |
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| 23 | AND RE-RUN THE GENERATOR SCRIPT |
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[ae3ce4e] | 24 | |
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| 25 | """ |
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| 26 | |
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| 27 | from sans.models.BaseComponent import BaseComponent |
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| 28 | from sans_extension.c_models import CSphereModel |
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| 29 | import copy |
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| 30 | |
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| 31 | class SphereModel(CSphereModel, BaseComponent): |
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[79ac6f8] | 32 | """ |
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| 33 | Class that evaluates a SphereModel model. |
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| 34 | This file was auto-generated from ..\c_extensions\sphere.h. |
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| 35 | Refer to that file and the structure it contains |
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| 36 | for details of the model. |
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| 37 | List of default parameters: |
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[7dde98e] | 38 | scale = 1.0 |
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[1ed3834] | 39 | radius = 60.0 [A] |
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[f10063e] | 40 | sldSph = 2e-006 [1/A^(2)] |
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| 41 | sldSolv = 1e-006 [1/A^(2)] |
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[0824909] | 42 | background = 0.0 [1/cm] |
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[ae3ce4e] | 43 | |
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| 44 | """ |
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| 45 | |
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| 46 | def __init__(self): |
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| 47 | """ Initialization """ |
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| 48 | |
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| 49 | # Initialize BaseComponent first, then sphere |
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| 50 | BaseComponent.__init__(self) |
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| 51 | CSphereModel.__init__(self) |
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| 52 | |
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| 53 | ## Name of the model |
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| 54 | self.name = "SphereModel" |
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[836fe6e] | 55 | ## Model description |
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[f10063e] | 56 | self.description ="""P(q)=(scale/V)*[3V(sldSph-sldSolv)*(sin(qR)-qRcos(qR)) |
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[1ed3834] | 57 | /(qR)^3]^(2)+bkg |
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| 58 | |
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| 59 | bkg:background, R: radius of sphere |
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[9316609] | 60 | V:The volume of the scatter |
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[f10063e] | 61 | sldSph: the SLD of the sphere |
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| 62 | sldSolv: the SLD of the solvent |
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[1ed3834] | 63 | """ |
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[836fe6e] | 64 | |
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[fe9c19b4] | 65 | ## Parameter details [units, min, max] |
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[ae3ce4e] | 66 | self.details = {} |
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| 67 | self.details['scale'] = ['', None, None] |
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[1ed3834] | 68 | self.details['radius'] = ['[A]', None, None] |
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[f10063e] | 69 | self.details['sldSph'] = ['[1/A^(2)]', None, None] |
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| 70 | self.details['sldSolv'] = ['[1/A^(2)]', None, None] |
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[0824909] | 71 | self.details['background'] = ['[1/cm]', None, None] |
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[7dde98e] | 72 | |
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[fe9c19b4] | 73 | ## fittable parameters |
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[836fe6e] | 74 | self.fixed=['radius.width'] |
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[25a608f5] | 75 | |
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[35aface] | 76 | ## non-fittable parameters |
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| 77 | self.non_fittable=[] |
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| 78 | |
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[25a608f5] | 79 | ## parameters with orientation |
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| 80 | self.orientation_params =[] |
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[ae3ce4e] | 81 | |
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| 82 | def clone(self): |
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| 83 | """ Return a identical copy of self """ |
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[95986b5] | 84 | return self._clone(SphereModel()) |
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[fe9c19b4] | 85 | |
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| 86 | def __getstate__(self): |
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[79ac6f8] | 87 | """ |
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| 88 | return object state for pickling and copying |
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| 89 | """ |
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[fe9c19b4] | 90 | model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log} |
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| 91 | |
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| 92 | return self.__dict__, model_state |
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| 93 | |
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| 94 | def __setstate__(self, state): |
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[79ac6f8] | 95 | """ |
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| 96 | create object from pickled state |
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| 97 | |
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| 98 | :param state: the state of the current model |
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| 99 | |
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| 100 | """ |
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[fe9c19b4] | 101 | |
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| 102 | self.__dict__, model_state = state |
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| 103 | self.params = model_state['params'] |
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| 104 | self.dispersion = model_state['dispersion'] |
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| 105 | self.log = model_state['log'] |
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| 106 | |
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[ae3ce4e] | 107 | |
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[79ac6f8] | 108 | def run(self, x=0.0): |
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| 109 | """ |
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| 110 | Evaluate the model |
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| 111 | |
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| 112 | :param x: input q, or [q,phi] |
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| 113 | |
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| 114 | :return: scattering function P(q) |
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| 115 | |
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[ae3ce4e] | 116 | """ |
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| 117 | |
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| 118 | return CSphereModel.run(self, x) |
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| 119 | |
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[79ac6f8] | 120 | def runXY(self, x=0.0): |
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| 121 | """ |
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| 122 | Evaluate the model in cartesian coordinates |
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| 123 | |
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| 124 | :param x: input q, or [qx, qy] |
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| 125 | |
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| 126 | :return: scattering function P(q) |
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| 127 | |
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[ae3ce4e] | 128 | """ |
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| 129 | |
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| 130 | return CSphereModel.runXY(self, x) |
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[95986b5] | 131 | |
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[79ac6f8] | 132 | def evalDistribution(self, x=[]): |
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| 133 | """ |
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| 134 | Evaluate the model in cartesian coordinates |
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| 135 | |
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| 136 | :param x: input q[], or [qx[], qy[]] |
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| 137 | |
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| 138 | :return: scattering function P(q[]) |
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| 139 | |
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[9bd69098] | 140 | """ |
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[f9a1279] | 141 | return CSphereModel.evalDistribution(self, x) |
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[9bd69098] | 142 | |
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[5eb9154] | 143 | def calculate_ER(self): |
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[79ac6f8] | 144 | """ |
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| 145 | Calculate the effective radius for P(q)*S(q) |
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| 146 | |
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| 147 | :return: the value of the effective radius |
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| 148 | |
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[5eb9154] | 149 | """ |
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| 150 | return CSphereModel.calculate_ER(self) |
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| 151 | |
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[95986b5] | 152 | def set_dispersion(self, parameter, dispersion): |
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| 153 | """ |
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[79ac6f8] | 154 | Set the dispersion object for a model parameter |
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| 155 | |
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| 156 | :param parameter: name of the parameter [string] |
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| 157 | :param dispersion: dispersion object of type DispersionModel |
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| 158 | |
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[95986b5] | 159 | """ |
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| 160 | return CSphereModel.set_dispersion(self, parameter, dispersion.cdisp) |
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| 161 | |
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[ae3ce4e] | 162 | |
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| 163 | # End of file |
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