[1bbf2ac] | 1 | #!/usr/bin/env python |
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| 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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[1bbf2ac] | 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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[1bbf2ac] | 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\StickyHS.h |
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| 23 | AND RE-RUN THE GENERATOR SCRIPT |
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[1bbf2ac] | 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 CStickyHSStructure |
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| 29 | import copy |
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| 30 | |
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| 31 | class StickyHSStructure(CStickyHSStructure, BaseComponent): |
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[79ac6f8] | 32 | """ |
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| 33 | Class that evaluates a StickyHSStructure model. |
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| 34 | This file was auto-generated from ..\c_extensions\StickyHS.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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[5eb9154] | 38 | effect_radius = 50.0 [A] |
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[1bbf2ac] | 39 | volfraction = 0.1 |
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| 40 | perturb = 0.05 |
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| 41 | stickiness = 0.2 |
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| 42 | |
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| 43 | """ |
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| 44 | |
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| 45 | def __init__(self): |
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| 46 | """ Initialization """ |
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| 47 | |
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| 48 | # Initialize BaseComponent first, then sphere |
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| 49 | BaseComponent.__init__(self) |
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| 50 | CStickyHSStructure.__init__(self) |
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| 51 | |
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| 52 | ## Name of the model |
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| 53 | self.name = "StickyHSStructure" |
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| 54 | ## Model description |
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[1ed3834] | 55 | self.description =""" Structure Factor for interacting particles: . |
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[1bbf2ac] | 56 | |
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| 57 | The interaction potential is |
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| 58 | |
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| 59 | U(r)= inf , r < 2R |
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| 60 | = -Uo , 2R < r < 2R + w |
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| 61 | = 0 , r >= 2R +w |
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| 62 | |
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[5eb9154] | 63 | R: effective radius of the hardsphere |
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[1bbf2ac] | 64 | stickiness = [exp(Uo/kT)]/(12*perturb) |
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| 65 | perturb = w/(w+ 2R) , 0.01 =< w <= 0.1 |
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| 66 | w: The width of the square well ,w > 0 |
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| 67 | v: The volume fraction , v > 0 |
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| 68 | |
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[1ed3834] | 69 | Ref: Menon, S. V. G.,et.al., J. Chem. |
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| 70 | Phys., 1991, 95(12), 9186-9190.""" |
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[1bbf2ac] | 71 | |
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[fe9c19b4] | 72 | ## Parameter details [units, min, max] |
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[1bbf2ac] | 73 | self.details = {} |
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[5eb9154] | 74 | self.details['effect_radius'] = ['[A]', None, None] |
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[1bbf2ac] | 75 | self.details['volfraction'] = ['', None, None] |
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| 76 | self.details['perturb'] = ['', None, None] |
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| 77 | self.details['stickiness'] = ['', None, None] |
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| 78 | |
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[fe9c19b4] | 79 | ## fittable parameters |
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[5eb9154] | 80 | self.fixed=['effect_radius.width'] |
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[0824909] | 81 | |
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[35aface] | 82 | ## non-fittable parameters |
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| 83 | self.non_fittable=[] |
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| 84 | |
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[0824909] | 85 | ## parameters with orientation |
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| 86 | self.orientation_params =[] |
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[1bbf2ac] | 87 | |
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| 88 | def clone(self): |
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| 89 | """ Return a identical copy of self """ |
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| 90 | return self._clone(StickyHSStructure()) |
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[fe9c19b4] | 91 | |
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| 92 | def __getstate__(self): |
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[79ac6f8] | 93 | """ |
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| 94 | return object state for pickling and copying |
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| 95 | """ |
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[fe9c19b4] | 96 | model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log} |
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| 97 | |
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| 98 | return self.__dict__, model_state |
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| 99 | |
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| 100 | def __setstate__(self, state): |
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[79ac6f8] | 101 | """ |
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| 102 | create object from pickled state |
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| 103 | |
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| 104 | :param state: the state of the current model |
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| 105 | |
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| 106 | """ |
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[fe9c19b4] | 107 | |
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| 108 | self.__dict__, model_state = state |
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| 109 | self.params = model_state['params'] |
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| 110 | self.dispersion = model_state['dispersion'] |
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| 111 | self.log = model_state['log'] |
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| 112 | |
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[1bbf2ac] | 113 | |
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[79ac6f8] | 114 | def run(self, x=0.0): |
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| 115 | """ |
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| 116 | Evaluate the model |
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| 117 | |
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| 118 | :param x: input q, or [q,phi] |
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| 119 | |
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| 120 | :return: scattering function P(q) |
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| 121 | |
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[1bbf2ac] | 122 | """ |
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| 123 | |
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| 124 | return CStickyHSStructure.run(self, x) |
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| 125 | |
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[79ac6f8] | 126 | def runXY(self, x=0.0): |
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| 127 | """ |
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| 128 | Evaluate the model in cartesian coordinates |
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| 129 | |
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| 130 | :param x: input q, or [qx, qy] |
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| 131 | |
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| 132 | :return: scattering function P(q) |
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| 133 | |
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[1bbf2ac] | 134 | """ |
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| 135 | |
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| 136 | return CStickyHSStructure.runXY(self, x) |
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| 137 | |
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[79ac6f8] | 138 | def evalDistribution(self, x=[]): |
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| 139 | """ |
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| 140 | Evaluate the model in cartesian coordinates |
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| 141 | |
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| 142 | :param x: input q[], or [qx[], qy[]] |
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| 143 | |
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| 144 | :return: scattering function P(q[]) |
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| 145 | |
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[9bd69098] | 146 | """ |
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[f9a1279] | 147 | return CStickyHSStructure.evalDistribution(self, x) |
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[9bd69098] | 148 | |
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[5eb9154] | 149 | def calculate_ER(self): |
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[79ac6f8] | 150 | """ |
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| 151 | Calculate the effective radius for P(q)*S(q) |
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| 152 | |
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| 153 | :return: the value of the effective radius |
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| 154 | |
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[5eb9154] | 155 | """ |
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| 156 | return CStickyHSStructure.calculate_ER(self) |
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| 157 | |
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[1bbf2ac] | 158 | def set_dispersion(self, parameter, dispersion): |
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| 159 | """ |
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[79ac6f8] | 160 | Set the dispersion object for a model parameter |
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| 161 | |
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| 162 | :param parameter: name of the parameter [string] |
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| 163 | :param dispersion: dispersion object of type DispersionModel |
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| 164 | |
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[1bbf2ac] | 165 | """ |
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| 166 | return CStickyHSStructure.set_dispersion(self, parameter, dispersion.cdisp) |
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| 167 | |
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| 168 | |
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| 169 | # End of file |
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