Hiya,
I’m trying to plot empirical dose weights from different datasets for systematic comparison on the same grid. Happy with the stored “refm_empirical_dw.npy” numpy array
From looking at the data the resolution seems to be stored in indices (?) rather than real resolution values
Shape of data array: (120, 300)
First few rows of the data array:
[[1.191184 1.1913332 1.1917803 … 0.00737122 0.00703797 0.00671853]
[1.1882471 1.1884457 1.1890417 … 0.29936653 0.29306892 0.28687406]
[1.1999868 1.2002052 1.2008601 … 1.1087068 1.094939 1.081262 ]
[1.1969949 1.1972281 1.1979277 … 3.438918 3.4223027 3.4056025 ]
[1.1897166 1.1899573 1.1906796 … 6.655653 6.6533365 6.6507983 ]]
Assumed resolution index range: [ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53
54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71
72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89
90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107
108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125
126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143
144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161
162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179
180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197
198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215
216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233
234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251
252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269
270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287
288 289 290 291 292 293 294 295 296 297 298 299]
Can anybody tell me how to calculate the real resolution shells numbers directly? It looks slightly comparable to wave_numbers in the fsc.txt but discrete.
Cryosparc output
my scripted plot from the numpy array
thank you for your time 