- Timestamp:
- Feb 4, 2018 9:40:01 PM (7 years ago)
- Branches:
- master, core_shell_microgels, magnetic_model, ticket-1257-vesicle-product, ticket_1156, ticket_1265_superball, ticket_822_more_unit_tests
- Children:
- aadec17
- Parents:
- 032646d (diff), 72e41a0 (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
Use the (diff) links above to see all the changes relative to each parent. - git-author:
- Paul Butler <butlerpd@…> (02/04/18 21:40:01)
- git-committer:
- GitHub <noreply@…> (02/04/18 21:40:01)
- Location:
- doc/guide
- Files:
-
- 2 added
- 2 edited
Legend:
- Unmodified
- Added
- Removed
-
doc/guide/pd/polydispersity.rst
reda8b30 r92d330fd 42 42 calculations are generally more robust with more data points or more angles. 43 43 44 The following fivedistribution functions are provided:44 The following distribution functions are provided: 45 45 46 46 * *Rectangular Distribution* 47 * *Uniform Distribution* 47 48 * *Gaussian Distribution* 48 49 * *Lognormal Distribution* 49 50 * *Schulz Distribution* 50 51 * *Array Distribution* 52 * *Boltzmann Distribution* 51 53 52 54 These are all implemented as *number-average* distributions. … … 85 87 Rectangular distribution. 86 88 89 90 91 Uniform Distribution 92 ^^^^^^^^^^^^^^^^^^^^^^^^ 93 94 The Uniform Distribution is defined as 95 96 .. math:: 97 98 f(x) = \frac{1}{\text{Norm}} 99 \begin{cases} 100 1 & \text{for } |x - \bar x| \leq \sigma \\ 101 0 & \text{for } |x - \bar x| > \sigma 102 \end{cases} 103 104 where $\bar x$ is the mean of the distribution, $\sigma$ is the half-width, and 105 *Norm* is a normalization factor which is determined during the numerical 106 calculation. 107 108 Note that the polydispersity is given by 109 110 .. math:: \text{PD} = \sigma / \bar x 111 112 .. figure:: pd_uniform.jpg 113 114 Uniform distribution. 115 116 The value $N_\sigma$ is ignored for this distribution. 117 87 118 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 88 119 … … 183 214 ^^^^^^^^^^^^^^^^^^ 184 215 185 This user-definable distribution should be given as a s asimple ASCII text216 This user-definable distribution should be given as a simple ASCII text 186 217 file where the array is defined by two columns of numbers: $x$ and $f(x)$. 187 218 The $f(x)$ will be normalized to 1 during the computation. … … 202 233 given for the model will have no affect, and will be ignored when computing 203 234 the average. This means that any parameter with an array distribution will 204 not be fittable. 235 not be fitable. 236 237 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 238 239 Boltzmann Distribution 240 ^^^^^^^^^^^^^^^^^^^^^^ 241 242 The Boltzmann Distribution is defined as 243 244 .. math:: 245 246 f(x) = \frac{1}{\text{Norm}} 247 \exp\left(-\frac{ | x - \bar x | }{\sigma}\right) 248 249 where $\bar x$ is the mean of the distribution and *Norm* is a normalization 250 factor which is determined during the numerical calculation. 251 The width is defined as 252 253 .. math:: \sigma=\frac{k T}{E} 254 255 which is the inverse Boltzmann factor, 256 where $k$ is the Boltzmann constant, $T$ the temperature in Kelvin and $E$ a 257 characteristic energy per particle. 258 259 .. figure:: pd_boltzmann.jpg 260 261 Boltzmann distribution. 205 262 206 263 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ -
doc/guide/orientation/orientation.rst
r5fb0634 r0d5a655 52 52 yaw angle $\theta$ about the $b$-axis and pitch angle $\phi$ about the 53 53 $a$-axis. 54 55 You can explore the view and jitter angles interactively using 56 :func:`sasmodels.jitter.run`. Enter the following into the python 57 interpreter:: 58 59 from sasmodels import jitter 60 jitter.run() 54 61 55 62 More formally, starting with axes $a$-$b$-$c$ of the particle aligned
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