- Timestamp:
- Oct 12, 2017 4:53:26 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:
- 0d19f42
- Parents:
- 706f466 (diff), 09141ff (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. - Location:
- doc
- Files:
-
- 5 edited
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doc/guide/magnetism/magnetism.rst
r59485a4 r1f058ea 77 77 =========== ================================================================ 78 78 M0_sld = $D_M M_0$ 79 Up_theta = $\theta_ {up}$79 Up_theta = $\theta_\mathrm{up}$ 80 80 M_theta = $\theta_M$ 81 81 M_phi = $\phi_M$ -
doc/guide/pd/polydispersity.rst
rf8a2baa r1f058ea 95 95 \exp\left(-\frac{(x - \bar x)^2}{2\sigma^2}\right) 96 96 97 where $\bar x$ is the mean of the distribution and *Norm* is a normalization factor98 which is determined during the numerical calculation.97 where $\bar x$ is the mean of the distribution and *Norm* is a normalization 98 factor which is determined during the numerical calculation. 99 99 100 100 The polydispersity is … … 122 122 during the numerical calculation. 123 123 124 The median value for the distribution will be the value given for the respective125 size parameter, for example, *radius=60*.124 The median value for the distribution will be the value given for the 125 respective size parameter, for example, *radius=60*. 126 126 127 127 The polydispersity is given by $\sigma$ … … 208 208 209 209 Many commercial Dynamic Light Scattering (DLS) instruments produce a size 210 polydispersity parameter, sometimes even given the symbol $p$ This210 polydispersity parameter, sometimes even given the symbol $p$\ ! This 211 211 parameter is defined as the relative standard deviation coefficient of 212 212 variation of the size distribution and is NOT the same as the polydispersity -
doc/guide/resolution.rst
r30b60d2 r1f058ea 17 17 resolution contribution into a model calculation/simulation (which by definition 18 18 will be exact) to make it more representative of what has been measured 19 experimentally - a process called *smearing*. sasmodels does the latter.19 experimentally - a process called *smearing*. Sasmodels does the latter. 20 20 21 21 Both smearing and desmearing rely on functions to describe the resolution 22 effect. sasmodels provides three smearing algorithms:22 effect. Sasmodels provides three smearing algorithms: 23 23 24 24 * *Slit Smearing* … … 99 99 100 100 For discrete $q$ values, at the $q$ values of the data points and at the $q$ 101 values extended up to $q_N = q_i + \Delta q_ v$ the smeared101 values extended up to $q_N = q_i + \Delta q_u$ the smeared 102 102 intensity can be approximately calculated as 103 103 -
doc/guide/scripting.rst
r2e66ef5 r4aa5dce 69 69 $ bumps example/model.py --preview 70 70 71 Note that bumps and sasmodels are included as part of the SasView 72 distribution. On windows, bumps can be called from the cmd prompt 73 as follows:: 74 75 SasViewCom bumps.cli example/model.py --preview 76 71 77 Using sasmodels directly 72 78 ======================== … … 105 111 plt.loglog(q, Iq) 106 112 plt.show() 113 114 On windows, this can be called from the cmd prompt using sasview as:: 115 116 SasViewCom example/cylinder_eval.py -
doc/genapi.py
r2e66ef5 r706f466 59 59 #('alignment', 'GPU data alignment [unused]'), 60 60 ('bumps_model', 'Bumps interface'), 61 ('compare', 'Compare models on different compute engines'), 61 62 ('compare_many', 'Batch compare models on different compute engines'), 62 ('co mpare', 'Compare models on different compute engines'),63 ('conversion_table', 'Model conversion table'), 63 64 ('convert', 'Sasview to sasmodel converter'), 64 65 ('core', 'Model access'), … … 82 83 ('sasview_model', 'Sasview interface'), 83 84 ('sesans', 'SESANS calculation routines'), 85 ('special', 'Special functions library'), 84 86 ('weights', 'Distribution functions'), 85 87 ]
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