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56  <div class="section" id="dispersion-models">
57<h1>dispersion_models<a class="headerlink" href="#dispersion-models" title="Permalink to this headline">¶</a></h1>
58<div class="section" id="module-sans.models.dispersion_models">
59<span id="sans-models-dispersion-models"></span><h2><a class="reference internal" href="#module-sans.models.dispersion_models" title="sans.models.dispersion_models"><tt class="xref py py-mod docutils literal"><span class="pre">sans.models.dispersion_models</span></tt></a><a class="headerlink" href="#module-sans.models.dispersion_models" title="Permalink to this headline">¶</a></h2>
60<p>Class definitions for python dispersion model for
61model parameters. These classes are bridges to the C++
62dispersion object.</p>
63<p>The ArrayDispersion class takes in numpy arrays only.</p>
64<p>Usage:
65These classes can be used to set the dispersion model of a SANS model
66parameter:</p>
67<blockquote>
68<div>cyl = CylinderModel()
69cyl.set_dispersion(&#8216;radius&#8217;, GaussianDispersion())</div></blockquote>
70<p>After the dispersion model is set, you can access it&#8217;s
71parameter through the dispersion dictionary:</p>
72<blockquote>
73<div>cyl.dispersion[&#8216;radius&#8217;][&#8216;width&#8217;] = 5.0</div></blockquote>
74<table class="docutils field-list" frame="void" rules="none">
75<col class="field-name" />
76<col class="field-body" />
77<tbody valign="top">
78<tr class="field"><th class="field-name">TODO:</th><td class="field-body">For backward compatibility, the model parameters are still kept in
79a dictionary. The next iteration of refactoring work should involve moving
80away from value-based parameters to object-based parameter. We want to
81store parameters as objects so that we can unify the &#8216;params&#8217; and &#8216;dispersion&#8217;
82dictionaries into a single dictionary of parameter objects that hold the
83complete information about the parameter (units, limits, dispersion model, etc...).</td>
84</tr>
85</tbody>
86</table>
87<dl class="class">
88<dt id="sans.models.dispersion_models.ArrayDispersion">
89<em class="property">class </em><tt class="descclassname">sans.models.dispersion_models.</tt><tt class="descname">ArrayDispersion</tt><a class="headerlink" href="#sans.models.dispersion_models.ArrayDispersion" title="Permalink to this definition">¶</a></dt>
90<dd><p>Bases: <a class="reference internal" href="#sans.models.dispersion_models.DispersionModel" title="sans.models.dispersion_models.DispersionModel"><tt class="xref py py-class docutils literal"><span class="pre">sans.models.dispersion_models.DispersionModel</span></tt></a></p>
91<p>Python bridge class for a dispersion model based on arrays.
92The user has to set a weight distribution that
93will be used in the averaging the model parameter
94it is applied to.</p>
95<dl class="method">
96<dt id="sans.models.dispersion_models.ArrayDispersion.set_weights">
97<tt class="descname">set_weights</tt><big>(</big><em>values</em>, <em>weights</em><big>)</big><a class="headerlink" href="#sans.models.dispersion_models.ArrayDispersion.set_weights" title="Permalink to this definition">¶</a></dt>
98<dd><p>Set the weights of an array dispersion
99Only accept numpy arrays.</p>
100<table class="docutils field-list" frame="void" rules="none">
101<col class="field-name" />
102<col class="field-body" />
103<tbody valign="top">
104<tr class="field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
105<li><strong>values</strong> &#8211; numpy array of values</li>
106<li><strong>weights</strong> &#8211; numpy array of weights for each value entry</li>
107</ul>
108</td>
109</tr>
110</tbody>
111</table>
112</dd></dl>
113
114</dd></dl>
115
116<dl class="class">
117<dt id="sans.models.dispersion_models.DispersionModel">
118<em class="property">class </em><tt class="descclassname">sans.models.dispersion_models.</tt><tt class="descname">DispersionModel</tt><a class="headerlink" href="#sans.models.dispersion_models.DispersionModel" title="Permalink to this definition">¶</a></dt>
119<dd><p>Python bridge class for a basic dispersion model
120class with a constant parameter value distribution</p>
121<dl class="method">
122<dt id="sans.models.dispersion_models.DispersionModel.set_weights">
123<tt class="descname">set_weights</tt><big>(</big><em>values</em>, <em>weights</em><big>)</big><a class="headerlink" href="#sans.models.dispersion_models.DispersionModel.set_weights" title="Permalink to this definition">¶</a></dt>
124<dd><p>Set the weights of an array dispersion</p>
125</dd></dl>
126
127</dd></dl>
128
129<dl class="class">
130<dt id="sans.models.dispersion_models.GaussianDispersion">
131<em class="property">class </em><tt class="descclassname">sans.models.dispersion_models.</tt><tt class="descname">GaussianDispersion</tt><a class="headerlink" href="#sans.models.dispersion_models.GaussianDispersion" title="Permalink to this definition">¶</a></dt>
132<dd><p>Bases: <a class="reference internal" href="#sans.models.dispersion_models.DispersionModel" title="sans.models.dispersion_models.DispersionModel"><tt class="xref py py-class docutils literal"><span class="pre">sans.models.dispersion_models.DispersionModel</span></tt></a></p>
133<p>Python bridge class for a dispersion model based
134on a Gaussian distribution.</p>
135<dl class="method">
136<dt id="sans.models.dispersion_models.GaussianDispersion.set_weights">
137<tt class="descname">set_weights</tt><big>(</big><em>values</em>, <em>weights</em><big>)</big><a class="headerlink" href="#sans.models.dispersion_models.GaussianDispersion.set_weights" title="Permalink to this definition">¶</a></dt>
138<dd><p>Set the weights of an array dispersion</p>
139</dd></dl>
140
141</dd></dl>
142
143<dl class="class">
144<dt id="sans.models.dispersion_models.LogNormalDispersion">
145<em class="property">class </em><tt class="descclassname">sans.models.dispersion_models.</tt><tt class="descname">LogNormalDispersion</tt><a class="headerlink" href="#sans.models.dispersion_models.LogNormalDispersion" title="Permalink to this definition">¶</a></dt>
146<dd><p>Bases: <a class="reference internal" href="#sans.models.dispersion_models.DispersionModel" title="sans.models.dispersion_models.DispersionModel"><tt class="xref py py-class docutils literal"><span class="pre">sans.models.dispersion_models.DispersionModel</span></tt></a></p>
147<p>Python bridge class for a dispersion model based
148on a Log Normal distribution.</p>
149<dl class="method">
150<dt id="sans.models.dispersion_models.LogNormalDispersion.set_weights">
151<tt class="descname">set_weights</tt><big>(</big><em>values</em>, <em>weights</em><big>)</big><a class="headerlink" href="#sans.models.dispersion_models.LogNormalDispersion.set_weights" title="Permalink to this definition">¶</a></dt>
152<dd><p>Set the weights of an array dispersion</p>
153</dd></dl>
154
155</dd></dl>
156
157<dl class="class">
158<dt id="sans.models.dispersion_models.RectangleDispersion">
159<em class="property">class </em><tt class="descclassname">sans.models.dispersion_models.</tt><tt class="descname">RectangleDispersion</tt><a class="headerlink" href="#sans.models.dispersion_models.RectangleDispersion" title="Permalink to this definition">¶</a></dt>
160<dd><p>Bases: <a class="reference internal" href="#sans.models.dispersion_models.DispersionModel" title="sans.models.dispersion_models.DispersionModel"><tt class="xref py py-class docutils literal"><span class="pre">sans.models.dispersion_models.DispersionModel</span></tt></a></p>
161<p>Python bridge class for a dispersion model based
162on a Gaussian distribution.</p>
163<dl class="method">
164<dt id="sans.models.dispersion_models.RectangleDispersion.set_weights">
165<tt class="descname">set_weights</tt><big>(</big><em>values</em>, <em>weights</em><big>)</big><a class="headerlink" href="#sans.models.dispersion_models.RectangleDispersion.set_weights" title="Permalink to this definition">¶</a></dt>
166<dd><p>Set the weights of an array dispersion</p>
167</dd></dl>
168
169</dd></dl>
170
171<dl class="class">
172<dt id="sans.models.dispersion_models.SchulzDispersion">
173<em class="property">class </em><tt class="descclassname">sans.models.dispersion_models.</tt><tt class="descname">SchulzDispersion</tt><a class="headerlink" href="#sans.models.dispersion_models.SchulzDispersion" title="Permalink to this definition">¶</a></dt>
174<dd><p>Bases: <a class="reference internal" href="#sans.models.dispersion_models.DispersionModel" title="sans.models.dispersion_models.DispersionModel"><tt class="xref py py-class docutils literal"><span class="pre">sans.models.dispersion_models.DispersionModel</span></tt></a></p>
175<p>Python bridge class for a dispersion model based
176on a Schulz distribution.</p>
177<dl class="method">
178<dt id="sans.models.dispersion_models.SchulzDispersion.set_weights">
179<tt class="descname">set_weights</tt><big>(</big><em>values</em>, <em>weights</em><big>)</big><a class="headerlink" href="#sans.models.dispersion_models.SchulzDispersion.set_weights" title="Permalink to this definition">¶</a></dt>
180<dd><p>Set the weights of an array dispersion</p>
181</dd></dl>
182
183</dd></dl>
184
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196<li><a class="reference internal" href="#">dispersion_models</a><ul>
197<li><a class="reference internal" href="#module-sans.models.dispersion_models"><tt class="docutils literal"><span class="pre">sans.models.dispersion_models</span></tt></a></li>
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201
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