1 | r""" |
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2 | This model provides the form factor, $P(q)$, for stacked discs (tactoids) |
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3 | with a core/layer structure where the form factor is normalized by the volume |
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4 | of the cylinder. Assuming the next neighbor distance (d-spacing) in a stack |
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5 | of parallel discs obeys a Gaussian distribution, a structure factor $S(q)$ |
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6 | proposed by Kratky and Porod in 1949 is used in this function. |
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7 | |
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8 | Note that the resolution smearing calculation uses 76 Gauss quadrature points |
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9 | to properly smear the model since the function is HIGHLY oscillatory, |
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10 | especially around the q-values that correspond to the repeat distance of |
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11 | the layers. |
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12 | |
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13 | The 2D scattering intensity is the same as 1D, regardless of the orientation |
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14 | of the q vector which is defined as |
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15 | |
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16 | .. math:: |
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17 | |
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18 | q = \sqrt{q_x^2 + q_y^2} |
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19 | |
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20 | Definition |
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21 | ---------- |
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22 | |
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23 | .. figure:: img/stacked_disks_fig1.gif |
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24 | |
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25 | The scattered intensity $I(q)$ is calculated as |
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26 | |
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27 | .. math:: |
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28 | |
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29 | I(q) = N\int_{0}^{\pi /2}\left[ \Delta \rho_t |
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30 | \left( V_tf_t(q) - V_cf_c(q)\right) + \Delta \rho_cV_cf_c(q) |
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31 | \right]^2S(q)\sin{\alpha d\alpha} + background |
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32 | |
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33 | where the contrast |
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34 | |
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35 | .. math:: |
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36 | |
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37 | \Delta \rho_i = \rho_i - \rho_{solvent} |
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38 | |
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39 | and *N* is the number of discs per unit volume, |
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40 | $\alpha$ is the angle between the axis of the disc and *q*, |
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41 | and $V_t$ and $V_c$ are the total volume and the core volume of |
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42 | a single disc, respectively. |
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43 | |
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44 | .. math:: |
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45 | |
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46 | \left\langle f_{t}^2(q)\right\rangle_{\alpha} = |
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47 | \int_{0}^{\pi/2}\left[ |
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48 | \left(\frac{sin(q(d+h)\cos{\alpha})}{q(d+h)\cos{\alpha}}\right) |
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49 | \left(\frac{2J_1(qR\sin{\alpha})}{qR\sin{\alpha}} \right) |
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50 | \right]^2 \sin{\alpha d\alpha} |
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51 | |
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52 | \left\langle f_{c}^2(q)\right\rangle_{\alpha} = |
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53 | \int_{0}^{\pi/2}\left[ |
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54 | \left(\frac{sin(qh)\cos{\alpha})}{qh\cos{\alpha}}\right) |
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55 | \left(\frac{2J_1(qR\sin{\alpha})}{qR\sin{\alpha}} \right) |
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56 | \right]^2 \sin{\alpha d\alpha} |
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57 | |
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58 | where *d* = thickness of the layer (layer_thick), |
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59 | *2h* = core thickness (core_thick), and *R* = radius of the disc (radius). |
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60 | |
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61 | .. math:: |
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62 | |
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63 | S(q) = 1 + \frac{1}{2}\sum_{k=1}^n(n-k)\cos{(kDq\cos{\alpha})} |
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64 | exp\left[ -k(q\cos{\alpha})^2\sigma_D/2\right] |
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65 | |
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66 | where *n* = the total number of the disc stacked (n_stacking), |
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67 | *D* = the next neighbor center-to-center distance (d-spacing), |
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68 | and $\sigma_D$ = the Gaussian standard deviation of the d-spacing (sigma_d). |
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69 | |
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70 | To provide easy access to the orientation of the stacked disks, we define |
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71 | the axis of the cylinder using two angles $\theta$ and $\varphi$. |
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72 | These angles are defined on Figure 2 of cylinder_model. |
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73 | |
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74 | .. note:: |
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75 | The 2nd virial coefficient of the cylinder is calculated based on the |
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76 | *radius* and *length* = *n_stacking* * (*core_thick* + 2 * *layer_thick*) |
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77 | values, and used as the effective radius for $S(Q)$ when $P(Q) * S(Q)$ |
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78 | is applied. |
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79 | |
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80 | .. figure:: img/stacked_disks_1d.jpg |
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81 | |
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82 | 1D plot using the default values (w/1000 data point). |
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83 | |
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84 | .. figure:: img/stacked_disks_fig2.jpg |
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85 | |
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86 | Examples of the angles for oriented stacked disks against |
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87 | the detector plane. |
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88 | |
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89 | .. figure:: img/stacked_disks_fig3.jpg |
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90 | |
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91 | Examples of the angles for oriented pp against the detector plane. |
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92 | |
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93 | Our model uses the form factor calculations implemented in a c-library provided |
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94 | by the NIST Center for Neutron Research (Kline, 2006) |
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95 | |
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96 | Reference |
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97 | --------- |
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98 | |
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99 | A Guinier and G Fournet, *Small-Angle Scattering of X-Rays*, John Wiley and Sons, New York, 1955 |
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100 | |
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101 | O Kratky and G Porod, *J. Colloid Science*, 4, (1949) 35 |
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102 | |
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103 | J S Higgins and H C Benoit, *Polymers and Neutron Scattering*, Clarendon, Oxford, 1994 |
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104 | |
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105 | """ |
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106 | |
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107 | from numpy import inf |
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108 | |
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109 | name = "stacked_disks" |
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110 | title = "" |
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111 | description = """\ |
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112 | One layer of disk consists of a core, a top layer, and a bottom layer. |
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113 | radius = the radius of the disk |
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114 | core_thick = thickness of the core |
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115 | layer_thick = thickness of a layer |
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116 | core_sld = the SLD of the core |
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117 | layer_sld = the SLD of the layers |
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118 | n_stacking = the number of the disks |
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119 | sigma_d = Gaussian STD of d-spacing |
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120 | solvent_sld = the SLD of the solvent |
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121 | """ |
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122 | category = "shape:cylinder" |
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123 | |
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124 | # pylint: disable=bad-whitespace, line-too-long |
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125 | # ["name", "units", default, [lower, upper], "type","description"], |
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126 | parameters = [ |
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127 | ["core_thick", "Ang", 10.0, [0, inf], "volume", "Thickness of the core disk"], |
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128 | ["layer_thick", "Ang", 10.0, [0, inf], "volume", "Thickness of the stacked disk"], |
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129 | ["radius", "Ang", 15.0, [0, inf], "volume", "Radius of the stacked disk"], |
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130 | ["n_stacking", "", 1.0, [0, inf], "volume", "Number of stacking"], |
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131 | ["sigma_d", "Ang", 0, [0, inf], "", "GSD of disks sigma_d"], |
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132 | ["core_sld", "1e-6/Ang^2", 4, [-inf, inf], "", "Core scattering length density"], |
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133 | ["layer_sld", "1e-6/Ang^2", 0.0, [-inf, inf], "", "Layer scattering length density"], |
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134 | ["solvent_sld", "1e-6/Ang^2", 5.0, [-inf, inf], "", "Solvent scattering length density"], |
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135 | ["theta", "degrees", 0, [-inf, inf], "orientation", "Orientation of the stacked disk axis w/respect incoming beam"], |
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136 | ["phi", "degrees", 0, [-inf, inf], "orientation", "Orientation of the stacked disk in the plane of the detector"], |
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137 | ] |
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138 | # pylint: enable=bad-whitespace, line-too-long |
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139 | |
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140 | source = ["lib/gauss76.c", "lib/J1.c", "stacked_disks.c"] |
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141 | |
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142 | demo = dict(background=0.001, |
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143 | scale=0.01, |
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144 | core_thick=10.0, |
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145 | layer_thick=10.0, |
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146 | radius=15.0, |
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147 | n_stacking=1, |
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148 | sigma_d=0, |
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149 | core_sld=4, |
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150 | layer_sld=0.0, |
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151 | solvent_sld=5.0, |
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152 | theta=0, |
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153 | phi=0) |
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154 | |
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155 | |
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156 | oldname = 'StackedDisksModel' |
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157 | |
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158 | oldpars = dict(theta='axis_theta', |
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159 | phi='axis_phi') |
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160 | |
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161 | tests = [ |
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162 | # Accuracy tests based on content in test/utest_extra_models.py |
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163 | [{'core_thick': 10.0, |
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164 | 'layer_thick': 15.0, |
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165 | 'radius': 3000.0, |
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166 | 'n_stacking': 1.0, |
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167 | 'sigma_d': 0.0, |
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168 | 'core_sld':4.0, |
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169 | 'layer_sld':-0.4, |
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170 | 'solvent_sd':5.0, |
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171 | 'theta':0.0, |
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172 | 'phi':0.0, |
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173 | 'scale':0.01, |
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174 | 'background':0.001, |
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175 | }, 0.001, 5075.12], |
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176 | |
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177 | [{'core_thick': 10.0, |
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178 | 'layer_thick': 15.0, |
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179 | 'radius': 3000.0, |
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180 | 'n_stacking': 1.0, |
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181 | 'sigma_d': 0.0, |
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182 | 'core_sld':4.0, |
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183 | 'layer_sld':-0.4, |
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184 | 'solvent_sd':5.0, |
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185 | 'theta':0.0, |
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186 | 'phi':0.0, |
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187 | 'scale':0.01, |
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188 | 'background':0.001, |
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189 | }, [0.001, 90.0], [5075.12, 0.001]], |
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190 | |
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191 | [{'core_thick': 10.0, |
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192 | 'layer_thick': 15.0, |
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193 | 'radius': 3000.0, |
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194 | 'n_stacking': 1.0, |
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195 | 'sigma_d': 0.0, |
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196 | 'core_sld':4.0, |
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197 | 'layer_sld':-0.4, |
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198 | 'solvent_sd':5.0, |
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199 | 'theta':0.0, |
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200 | 'phi':0.0, |
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201 | 'scale':0.01, |
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202 | 'background':0.001, |
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203 | }, ([0.4, 0.5]), [0.00105074, 0.00121761]], |
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204 | |
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205 | [{'core_thick': 10.0, |
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206 | 'layer_thick': 15.0, |
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207 | 'radius': 3000.0, |
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208 | 'n_stacking': 1.0, |
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209 | 'sigma_d': 0.0, |
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210 | 'core_sld':4.0, |
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211 | 'layer_sld':-0.4, |
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212 | 'solvent_sd':5.0, |
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213 | 'theta':0.0, |
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214 | 'phi':0.0, |
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215 | 'scale':0.01, |
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216 | 'background':0.001, |
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217 | }, ([1.3, 1.57]), [0.0010039, 0.0010038]], |
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218 | ] |
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219 | |
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220 | |
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