[27a0771] | 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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[27a0771] | 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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[27a0771] | 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\lamellarPS_HG.h |
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| 23 | AND RE-RUN THE GENERATOR SCRIPT |
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[27a0771] | 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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[92df66f8] | 28 | from sans.models.sans_extension.c_models import CLamellarPSHGModel |
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[27a0771] | 29 | import copy |
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[96656e3] | 30 | |
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| 31 | def create_LamellarPSHGModel(): |
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| 32 | obj = LamellarPSHGModel() |
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| 33 | #CLamellarPSHGModel.__init__(obj) is called by LamellarPSHGModel constructor |
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| 34 | return obj |
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| 35 | |
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[27a0771] | 36 | class LamellarPSHGModel(CLamellarPSHGModel, BaseComponent): |
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[79ac6f8] | 37 | """ |
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| 38 | Class that evaluates a LamellarPSHGModel model. |
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| 39 | This file was auto-generated from ..\c_extensions\lamellarPS_HG.h. |
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| 40 | Refer to that file and the structure it contains |
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| 41 | for details of the model. |
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| 42 | List of default parameters: |
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[27a0771] | 43 | scale = 1.0 |
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| 44 | spacing = 40.0 [A] |
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| 45 | deltaT = 10.0 [A] |
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| 46 | deltaH = 2.0 [A] |
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[92df66f8] | 47 | sld_tail = 4e-07 [1/A^(2)] |
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| 48 | sld_head = 2e-06 [1/A^(2)] |
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| 49 | sld_solvent = 6e-06 [1/A^(2)] |
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[27a0771] | 50 | n_plates = 30.0 |
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| 51 | caille = 0.001 |
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| 52 | background = 0.001 [1/cm] |
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| 53 | |
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| 54 | """ |
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| 55 | |
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| 56 | def __init__(self): |
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| 57 | """ Initialization """ |
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| 58 | |
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| 59 | # Initialize BaseComponent first, then sphere |
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| 60 | BaseComponent.__init__(self) |
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[96656e3] | 61 | #apply(CLamellarPSHGModel.__init__, (self,)) |
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[27a0771] | 62 | CLamellarPSHGModel.__init__(self) |
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| 63 | |
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| 64 | ## Name of the model |
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| 65 | self.name = "LamellarPSHGModel" |
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| 66 | ## Model description |
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[9188cc1] | 67 | self.description ="""[Concentrated Lamellar (head+tail) Form Factor]: Calculates the |
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| 68 | intensity from a lyotropic lamellar phase. |
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| 69 | The intensity (form factor and structure factor) |
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| 70 | calculated is for lamellae of two-layer scattering |
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| 71 | length density that are randomly distributed in |
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| 72 | solution (a powder average). The scattering |
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| 73 | length density of the tail region, headgroup |
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| 74 | region, and solvent are taken to be different. |
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| 75 | The model can also be applied to large, |
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| 76 | multi-lamellar vesicles. |
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| 77 | No resolution smeared version is included |
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| 78 | in the structure factor of this model. |
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| 79 | *Parameters: spacing = repeat spacing, |
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| 80 | deltaT = tail length, |
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| 81 | deltaH = headgroup thickness, |
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| 82 | n_plates = # of Lamellar plates |
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| 83 | caille = Caille parameter (<0.8 or <1) |
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| 84 | background = incoherent bgd |
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| 85 | scale = scale factor ...""" |
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[27a0771] | 86 | |
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[fe9c19b4] | 87 | ## Parameter details [units, min, max] |
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[27a0771] | 88 | self.details = {} |
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| 89 | self.details['scale'] = ['', None, None] |
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| 90 | self.details['spacing'] = ['[A]', None, None] |
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| 91 | self.details['deltaT'] = ['[A]', None, None] |
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| 92 | self.details['deltaH'] = ['[A]', None, None] |
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[27972c1d] | 93 | self.details['sld_tail'] = ['[1/A^(2)]', None, None] |
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| 94 | self.details['sld_head'] = ['[1/A^(2)]', None, None] |
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| 95 | self.details['sld_solvent'] = ['[1/A^(2)]', None, None] |
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[27a0771] | 96 | self.details['n_plates'] = ['', None, None] |
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| 97 | self.details['caille'] = ['', None, None] |
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| 98 | self.details['background'] = ['[1/cm]', None, None] |
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| 99 | |
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[fe9c19b4] | 100 | ## fittable parameters |
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[9188cc1] | 101 | self.fixed=['deltaT.width', 'deltaH.width', 'spacing.width'] |
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[27a0771] | 102 | |
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[35aface] | 103 | ## non-fittable parameters |
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[96656e3] | 104 | self.non_fittable = [] |
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[35aface] | 105 | |
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[27a0771] | 106 | ## parameters with orientation |
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[96656e3] | 107 | self.orientation_params = [] |
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[c7a7e1b] | 108 | |
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| 109 | def __setstate__(self, state): |
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| 110 | """ |
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| 111 | restore the state of a model from pickle |
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| 112 | """ |
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| 113 | self.__dict__, self.params, self.dispersion = state |
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| 114 | |
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[96656e3] | 115 | def __reduce_ex__(self, proto): |
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[79ac6f8] | 116 | """ |
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[96656e3] | 117 | Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of |
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| 118 | c model. |
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[79ac6f8] | 119 | """ |
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[c7a7e1b] | 120 | state = (self.__dict__, self.params, self.dispersion) |
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| 121 | return (create_LamellarPSHGModel,tuple(), state, None, None) |
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[fe9c19b4] | 122 | |
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[96656e3] | 123 | def clone(self): |
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| 124 | """ Return a identical copy of self """ |
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| 125 | return self._clone(LamellarPSHGModel()) |
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[fe9c19b4] | 126 | |
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[27a0771] | 127 | |
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[79ac6f8] | 128 | def run(self, x=0.0): |
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| 129 | """ |
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| 130 | Evaluate the model |
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| 131 | |
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| 132 | :param x: input q, or [q,phi] |
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| 133 | |
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| 134 | :return: scattering function P(q) |
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| 135 | |
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[27a0771] | 136 | """ |
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| 137 | |
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| 138 | return CLamellarPSHGModel.run(self, x) |
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| 139 | |
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[79ac6f8] | 140 | def runXY(self, x=0.0): |
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| 141 | """ |
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| 142 | Evaluate the model in cartesian coordinates |
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| 143 | |
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| 144 | :param x: input q, or [qx, qy] |
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| 145 | |
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| 146 | :return: scattering function P(q) |
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| 147 | |
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[27a0771] | 148 | """ |
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| 149 | |
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| 150 | return CLamellarPSHGModel.runXY(self, x) |
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| 151 | |
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[79ac6f8] | 152 | def evalDistribution(self, x=[]): |
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| 153 | """ |
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| 154 | Evaluate the model in cartesian coordinates |
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| 155 | |
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| 156 | :param x: input q[], or [qx[], qy[]] |
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| 157 | |
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| 158 | :return: scattering function P(q[]) |
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| 159 | |
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[870f131] | 160 | """ |
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[f9a1279] | 161 | return CLamellarPSHGModel.evalDistribution(self, x) |
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[870f131] | 162 | |
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[5eb9154] | 163 | def calculate_ER(self): |
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[79ac6f8] | 164 | """ |
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| 165 | Calculate the effective radius for P(q)*S(q) |
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| 166 | |
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| 167 | :return: the value of the effective radius |
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| 168 | |
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[5eb9154] | 169 | """ |
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| 170 | return CLamellarPSHGModel.calculate_ER(self) |
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| 171 | |
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[27a0771] | 172 | def set_dispersion(self, parameter, dispersion): |
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| 173 | """ |
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[79ac6f8] | 174 | Set the dispersion object for a model parameter |
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| 175 | |
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| 176 | :param parameter: name of the parameter [string] |
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| 177 | :param dispersion: dispersion object of type DispersionModel |
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| 178 | |
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[27a0771] | 179 | """ |
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| 180 | return CLamellarPSHGModel.set_dispersion(self, parameter, dispersion.cdisp) |
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| 181 | |
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| 182 | |
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| 183 | # End of file |
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