1 | """ |
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2 | Guinier function as a BaseComponent model |
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3 | """ |
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4 | from sas.models.BaseComponent import BaseComponent |
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5 | from math import sqrt,exp |
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6 | |
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7 | class GuinierPorodModel(BaseComponent): |
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8 | """ |
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9 | Class that evaluates a GuinierPorod model. |
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10 | |
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11 | Calculate:: |
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12 | |
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13 | I(q) = scale/q^s exp(-q^2 Rg^2 / (3-s) ) for q<= ql |
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14 | I(q) = scale/q^m exp(-ql^2 Rg^2 / (3-s)) ql^(m-s) for q>=ql |
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15 | """ |
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16 | def __init__(self): |
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17 | """ Initialization """ |
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18 | |
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19 | # Initialize BaseComponent first, then sphere |
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20 | BaseComponent.__init__(self) |
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21 | |
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22 | ## Name of the model |
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23 | self.name = "GuinierPorod" |
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24 | self.description = """ |
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25 | I(q) = scale/q^s* exp ( - R_g^2 q^2 / (3-s) ) for q<= ql |
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26 | = scale/q^m*exp((-ql^2*Rg^2)/(3-s))*ql^(m-s) for q>=ql |
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27 | where ql = sqrt((m-s)(3-s)/2)/Rg. |
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28 | List of parameters: |
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29 | scale = Guinier Scale |
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30 | s = Dimension Variable |
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31 | Rg = Radius of Gyration [A] |
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32 | m = Porod Exponent |
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33 | background = Background [1/cm]""" |
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34 | ## Define parameters |
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35 | self.params = {} |
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36 | self.params['scale'] = 1.0 |
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37 | self.params['dim'] = 1.0 |
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38 | self.params['rg'] = 100.0 |
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39 | self.params['m'] = 3.0 |
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40 | self.params['background'] = 0.1 |
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41 | ## Parameter details [units, min, max] |
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42 | self.details = {} |
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43 | self.details['scale'] = ['', None, None] |
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44 | self.details['dim'] = ['', None, None] |
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45 | self.details['rg'] = ['[A]', None, None] |
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46 | self.details['m'] = ['', None, None] |
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47 | self.details['background'] = ['[1/cm]', None, None] |
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48 | |
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49 | #list of parameter that cannot be fitted |
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50 | self.fixed = [] |
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51 | |
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52 | def _guinier_porod(self, x): |
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53 | """ |
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54 | Guinier-Porod Model |
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55 | """ |
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56 | # parameters |
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57 | G = self.params['scale'] |
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58 | s = self.params['dim'] |
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59 | Rg = self.params['rg'] |
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60 | m = self.params['m'] |
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61 | bgd = self.params['background'] |
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62 | n = 3.0 - s |
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63 | qval = x |
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64 | # take care of the singular points |
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65 | if Rg <= 0.0: |
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66 | return bgd |
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67 | if (n-3.0+m) <= 0.0: |
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68 | return bgd |
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69 | #do the calculation and return the function value |
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70 | q1 = sqrt((n-3.0+m)*n/2.0)/Rg |
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71 | if qval < q1: |
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72 | F = (G/pow(qval,(3.0-n)))*exp((-qval*qval*Rg*Rg)/n) |
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73 | else: |
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74 | F = (G/pow(qval, m))*exp(-(n-3.0+m)/2.0)*pow(((n-3.0+m)*n/2.0), |
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75 | ((n-3.0+m)/2.0))/pow(Rg,(n-3.0+m)) |
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76 | inten = F + bgd |
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77 | |
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78 | return inten |
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79 | |
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80 | def run(self, x = 0.0): |
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81 | """ Evaluate the model |
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82 | @param x: input q-value (float or [float, float] as [r, theta]) |
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83 | @return: (guinier value) |
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84 | """ |
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85 | if x.__class__.__name__ == 'list': |
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86 | return self._guinier_porod(x[0]) |
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87 | elif x.__class__.__name__ == 'tuple': |
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88 | raise ValueError, "Tuples are not allowed as input to models" |
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89 | else: |
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90 | return self._guinier_porod(x) |
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91 | |
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92 | def runXY(self, x = 0.0): |
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93 | """ Evaluate the model |
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94 | @param x: input q-value (float or [float, float] as [qx, qy]) |
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95 | @return: guinier value |
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96 | """ |
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97 | if x.__class__.__name__ == 'list': |
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98 | q = sqrt(x[0]**2 + x[1]**2) |
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99 | return self._guinier_porod(q) |
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100 | elif x.__class__.__name__ == 'tuple': |
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101 | raise ValueError, "Tuples are not allowed as input to models" |
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102 | else: |
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103 | return self._guinier_porod(x) |
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