1 | """ |
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2 | This module is a small tool to allow user to |
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3 | control instrumental parameters |
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4 | """ |
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5 | import numpy |
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6 | |
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7 | # defaults in cgs unit |
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8 | _SAMPLE_A_SIZE = [1.27] |
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9 | _SOURCE_A_SIZE = [3.81] |
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10 | _SAMPLE_DISTANCE = [1627, 0] |
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11 | _SAMPLE_OFFSET = [0, 0] |
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12 | _SAMPLE_SIZE = [2.54] |
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13 | _SAMPLE_THICKNESS = 0.2 |
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14 | _D_DISTANCE = [1000, 0] |
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15 | _D_SIZE = [128, 128] |
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16 | _D_PIX_SIZE = [0.5, 0.5] |
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17 | |
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18 | _MIN = 0.0 |
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19 | _MAX = 30.0 |
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20 | _INTENSITY = 368428 |
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21 | _WAVE_LENGTH = 6.0 |
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22 | _WAVE_SPREAD = 0.125 |
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23 | _MASS = 1.67492729E-24 #[gr] |
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24 | X_VAL = numpy.linspace(0, 30, 310) |
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25 | _LAMBDA_ARRAY = [[0, 5, 10, 15, 20, 25, 30], [1, 1, 1, 1, 1, 1, 1]] |
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26 | |
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27 | class Aperture(object): |
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28 | """ |
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29 | An object class that defines the aperture variables |
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30 | """ |
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31 | def __init__(self): |
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32 | |
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33 | # assumes that all aligned at the centers |
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34 | # aperture_size [diameter] for pinhole, [dx, dy] for rectangular |
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35 | self.sample_size = _SAMPLE_A_SIZE |
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36 | self.source_size = _SOURCE_A_SIZE |
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37 | self.sample_distance = _SAMPLE_DISTANCE |
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38 | |
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39 | def set_source_size(self, size =[]): |
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40 | """ |
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41 | Set the source aperture size |
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42 | """ |
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43 | if len(size) == 0: |
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44 | self.source_size = 0.0 |
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45 | else: |
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46 | self.source_size = size |
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47 | validate(size[0]) |
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48 | def set_sample_size(self, size =[]): |
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49 | """ |
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50 | Set the sample aperture size |
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51 | """ |
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52 | if len(size) == 0: |
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53 | self.sample_size = 0.0 |
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54 | else: |
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55 | self.sample_size = size |
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56 | validate(size[0]) |
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57 | |
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58 | def set_sample_distance(self, distance = []): |
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59 | """ |
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60 | Set the sample aperture distance |
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61 | """ |
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62 | if len(distance) == 0: |
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63 | self.sample_distance = 0.0 |
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64 | else: |
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65 | self.sample_distance = distance |
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66 | validate(distance[0]) |
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67 | |
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68 | |
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69 | class Sample(object): |
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70 | """ |
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71 | An object class that defines the sample variables |
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72 | """ |
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73 | def __init__(self): |
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74 | |
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75 | # assumes that all aligned at the centers |
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76 | # source2sample or sample2detector distance |
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77 | self.distance = _SAMPLE_OFFSET |
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78 | self.size = _SAMPLE_SIZE |
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79 | self.thickness = _SAMPLE_THICKNESS |
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80 | |
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81 | |
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82 | def set_size(self, size =[]): |
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83 | """ |
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84 | Set the sample size |
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85 | """ |
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86 | if len(size) == 0: |
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87 | self.sample_size = 0.0 |
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88 | else: |
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89 | self.sample_size = size |
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90 | validate(size[0]) |
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91 | |
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92 | def set_thickness(self, thickness = 0.0): |
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93 | """ |
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94 | Set the sample thickness |
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95 | """ |
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96 | self.thickness = thickness |
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97 | validate(thickness) |
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98 | |
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99 | def set_distance(self, distance = []): |
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100 | """ |
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101 | Set the sample distance |
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102 | """ |
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103 | if len(distance) == 0: |
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104 | self.distance = 0.0 |
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105 | else: |
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106 | self.distance = distance |
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107 | if distance[0] != 0.0: |
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108 | validate(distance[0]) |
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109 | |
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110 | |
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111 | class Detector(object): |
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112 | """ |
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113 | An object class that defines the detector variables |
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114 | """ |
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115 | def __init__(self): |
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116 | |
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117 | # assumes that all aligned at the centers |
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118 | # source2sample or sample2detector distance |
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119 | self.distance = _D_DISTANCE |
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120 | self.size = _D_SIZE |
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121 | self.pix_size = _D_PIX_SIZE |
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122 | |
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123 | |
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124 | |
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125 | def set_size(self, size =[]): |
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126 | """ |
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127 | Set the detector size |
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128 | """ |
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129 | if len(size) == 0: |
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130 | self.size = 0 |
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131 | else: |
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132 | self.size = size |
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133 | validate(size[0]) |
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134 | |
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135 | def set_pix_size(self, size = []): |
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136 | """ |
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137 | Set the detector pix_size |
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138 | """ |
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139 | if len(size) == 0: |
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140 | self.pix_size = 0 |
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141 | else: |
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142 | self.pix_size = size |
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143 | validate(size[0]) |
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144 | |
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145 | def set_distance(self, distance = []): |
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146 | """ |
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147 | Set the detector distance |
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148 | """ |
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149 | if len(distance) == 0: |
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150 | self.distance = 0 |
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151 | else: |
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152 | self.distance = distance |
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153 | validate(distance[0]) |
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154 | |
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155 | |
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156 | class Neutron(object): |
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157 | """ |
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158 | An object that defines the wavelength variables |
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159 | """ |
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160 | def __init__(self): |
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161 | |
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162 | # intensity in counts/sec |
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163 | self.intensity = _INTENSITY |
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164 | # neutron mass in cgs unit |
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165 | self.mass = _MASS |
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166 | # wavelength spectrum |
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167 | self.spectrum = [] |
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168 | # wavelength |
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169 | self.wavelength = _WAVE_LENGTH |
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170 | # wavelength spread (FWHM) |
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171 | self.wavelength_spread = _WAVE_SPREAD |
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172 | # mean wavelength |
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173 | self.mean = _WAVE_LENGTH |
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174 | # wavelength = distribution after velocity selector |
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175 | self.peak = [] |
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176 | # std of of the spectrum |
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177 | self.std = None |
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178 | # min max range of the spectrum |
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179 | self.min = _MIN |
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180 | self.max = _MAX |
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181 | # x-range of the spectrum |
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182 | self.x_val = X_VAL |
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183 | # default distribution function |
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184 | # ex., 'gaussian', or an array |
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185 | self.func = _LAMBDA_ARRAY |
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186 | # default unit of the thickness |
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187 | self.wavelength_unit = 'A' |
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188 | |
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189 | def set_intensity(self, intensity = 368428): |
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190 | """ |
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191 | Sets the intensity in counts/sec |
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192 | """ |
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193 | self.intensity = intensity |
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194 | validate(intensity) |
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195 | |
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196 | def set_wavelength(self, wavelength = _WAVE_LENGTH): |
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197 | """ |
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198 | Sets the wavelength |
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199 | """ |
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200 | self.wavelength = wavelength |
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201 | validate(wavelength) |
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202 | |
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203 | def set_mass(self, mass = _MASS): |
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204 | """ |
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205 | Sets the wavelength |
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206 | """ |
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207 | self.mass = mass |
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208 | validate(mass) |
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209 | |
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210 | def set_wavelength_spread(self, spread = _WAVE_SPREAD): |
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211 | """ |
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212 | Sets the wavelength spread |
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213 | """ |
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214 | self.wavelength_spread = spread |
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215 | if spread != 0.0: |
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216 | validate(spread) |
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217 | |
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218 | def get_intensity(self): |
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219 | """ |
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220 | To get the value of intensity |
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221 | """ |
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222 | return self.intensity |
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223 | |
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224 | def get_wavelength(self): |
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225 | """ |
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226 | To get the value of wavelength |
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227 | """ |
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228 | return self.wavelength |
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229 | |
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230 | def get_mass(self): |
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231 | """ |
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232 | To get the neutron mass |
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233 | """ |
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234 | return self.mass |
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235 | |
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236 | def get_wavelength_spread(self): |
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237 | """ |
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238 | To get the value of wavelength spread |
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239 | """ |
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240 | return self.wavelength_spread |
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241 | |
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242 | def get_ramdom_value(self): |
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243 | """ |
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244 | To get the value of wave length |
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245 | """ |
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246 | return self.wavelength |
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247 | |
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248 | def _set_mean(self): |
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249 | """ |
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250 | To get mean value of wavelength |
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251 | """ |
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252 | mean_value = numpy.mean(self.peak[0]* |
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253 | self.peak[1]) |
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254 | self.mean = mean_value |
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255 | |
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256 | |
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257 | def get_mean_peakvalue(self): |
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258 | """ |
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259 | To get mean value of wavelength |
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260 | """ |
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261 | mean_value = numpy.mean(self.peak[1]) |
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262 | return mean_value |
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263 | |
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264 | def get_spectrum(self): |
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265 | """ |
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266 | To get the wavelength spectrum |
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267 | """ |
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268 | return self.spectrum |
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269 | |
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270 | def plot_spectrum(self): |
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271 | """ |
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272 | To plot the wavelength spactrum |
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273 | : requirment: matplotlib.pyplot |
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274 | """ |
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275 | try: |
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276 | import matplotlib.pyplot as plt |
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277 | plt.plot(self.x_val, self.spectrum, linewidth = 2, color = 'r') |
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278 | plt.legend(['Spectrum'], loc = 'best') |
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279 | plt.show() |
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280 | except: |
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281 | raise RuntimeError, "Can't import matplotlib required to plot..." |
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282 | |
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283 | def plot_peak(self): |
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284 | """ |
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285 | To plot the wavelength peak spactrum |
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286 | : requirment: matplotlib.pyplot |
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287 | """ |
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288 | try: |
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289 | min = self.mean * (1 - self.wavelength_spread) |
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290 | max = self.mean * (1 + self.wavelength_spread) |
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291 | x_val = numpy.linspace(min, max, 310) |
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292 | import matplotlib.pyplot as plt |
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293 | plt.plot(x_val, self.peak, linewidth = 2, color = 'r') |
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294 | plt.legend(['peak'], loc = 'best') |
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295 | plt.show() |
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296 | except: |
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297 | raise RuntimeError, "Can't import matplotlib required to plot..." |
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298 | |
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299 | def validate(value = None): |
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300 | """ |
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301 | Check if the value is folat > 0.0 |
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302 | |
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303 | :return value: True / False |
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304 | """ |
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305 | try: |
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306 | val = float(value) |
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307 | if val > 0: |
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308 | val = True |
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309 | else: |
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310 | val = False |
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311 | except: |
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312 | val = False |
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313 | if not val: |
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314 | raise ValueError, "Got improper value..." |
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