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56  <div class="section" id="teubnerstreymodel">
57<h1>TeubnerStreyModel<a class="headerlink" href="#teubnerstreymodel" title="Permalink to this headline">¶</a></h1>
58<div class="section" id="module-sans.models.TeubnerStreyModel">
59<span id="sans-models-teubnerstreymodel"></span><h2><a class="reference internal" href="#module-sans.models.TeubnerStreyModel"><tt class="xref py py-mod docutils literal"><span class="pre">sans.models.TeubnerStreyModel</span></tt></a><a class="headerlink" href="#module-sans.models.TeubnerStreyModel" title="Permalink to this headline">¶</a></h2>
60<p>Provide F(x) = 1/( scale + c1*(x)^(2)+  c2*(x)^(4)) + bkd
61Teubner-Strey function as a BaseComponent model</p>
62<dl class="class">
63<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel">
64<em class="property">class </em><tt class="descclassname">sans.models.TeubnerStreyModel.</tt><tt class="descname">TeubnerStreyModel</tt><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel" title="Permalink to this definition">¶</a></dt>
65<dd><p>Bases: <a class="reference internal" href="BaseComponent.html#sans.models.BaseComponent.BaseComponent" title="sans.models.BaseComponent.BaseComponent"><tt class="xref py py-class docutils literal"><span class="pre">sans.models.BaseComponent.BaseComponent</span></tt></a></p>
66<p>Class that evaluates  the TeubnerStrey model.</p>
67<p>F(x) = 1/( scale + c1*(x)^(2)+  c2*(x)^(4)) + bkd</p>
68<dl class="docutils">
69<dt>The model has Four parameters: </dt>
70<dd>scale  =  scale factor
71c1     =  constant
72c2     =  constant
73bkd    =  incoherent background</dd>
74</dl>
75<dl class="method">
76<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.calculate_ER">
77<tt class="descname">calculate_ER</tt><big>(</big><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.calculate_ER" title="Permalink to this definition">¶</a></dt>
78<dd></dd></dl>
79
80<dl class="method">
81<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.clone">
82<tt class="descname">clone</tt><big>(</big><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.clone" title="Permalink to this definition">¶</a></dt>
83<dd>Returns a new object identical to the current object</dd></dl>
84
85<dl class="method">
86<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.evalDistribution">
87<tt class="descname">evalDistribution</tt><big>(</big><em>qdist</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.evalDistribution" title="Permalink to this definition">¶</a></dt>
88<dd><p>Evaluate a distribution of q-values.</p>
89<ul>
90<li><p class="first">For 1D, a numpy array is expected as input:</p>
91<blockquote>
92<p>evalDistribution(q)</p>
93</blockquote>
94</li>
95</ul>
96<p>where q is a numpy array.</p>
97<ul class="simple">
98<li>For 2D, a list of numpy arrays are expected: [qx_prime,qy_prime],
99where 1D arrays,</li>
100</ul>
101<p>qx_prime = [ qx[0], qx[1], qx[2], ....]
102and
103qy_prime = [ qy[0], qy[1], qy[2], ....]</p>
104<p>Then get
105q = numpy.sqrt(qx_prime^2+qy_prime^2)</p>
106<p>that is a qr in 1D array;
107q = [q[0], q[1], q[2], ....]</p>
108<table class="docutils field-list" frame="void" rules="none">
109<col class="field-name" />
110<col class="field-body" />
111<tbody valign="top">
112<tr class="field"><th class="field-name">Note :</th><td class="field-body"><p class="first">Due to 2D speed issue, no anisotropic scattering
113is supported for python models, thus C-models should have</p>
114<blockquote class="last">
115<p>their own evalDistribution methods.</p>
116</blockquote>
117</td>
118</tr>
119</tbody>
120</table>
121<p>The method is then called the following way:</p>
122<p>evalDistribution(q)
123where q is a numpy array.</p>
124<table class="docutils field-list" frame="void" rules="none">
125<col class="field-name" />
126<col class="field-body" />
127<tbody valign="top">
128<tr class="field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
129<li><strong>qdist</strong> &#8211; ndarray of scalar q-values or list [qx,qy]
130where qx,qy are 1D ndarrays</li>
131</ul>
132</td>
133</tr>
134</tbody>
135</table>
136</dd></dl>
137
138<dl class="method">
139<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.getDispParamList">
140<tt class="descname">getDispParamList</tt><big>(</big><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.getDispParamList" title="Permalink to this definition">¶</a></dt>
141<dd>Return a list of all available parameters for the model</dd></dl>
142
143<dl class="method">
144<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.getParam">
145<tt class="descname">getParam</tt><big>(</big><em>name</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.getParam" title="Permalink to this definition">¶</a></dt>
146<dd><p>Set the value of a model parameter</p>
147<table class="docutils field-list" frame="void" rules="none">
148<col class="field-name" />
149<col class="field-body" />
150<tbody valign="top">
151<tr class="field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
152<li><strong>name</strong> &#8211; name of the parameter</li>
153</ul>
154</td>
155</tr>
156</tbody>
157</table>
158</dd></dl>
159
160<dl class="method">
161<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.getParamList">
162<tt class="descname">getParamList</tt><big>(</big><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.getParamList" title="Permalink to this definition">¶</a></dt>
163<dd>Return a list of all available parameters for the model</dd></dl>
164
165<dl class="method">
166<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.getParamListWithToken">
167<tt class="descname">getParamListWithToken</tt><big>(</big><em>token</em>, <em>member</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.getParamListWithToken" title="Permalink to this definition">¶</a></dt>
168<dd></dd></dl>
169
170<dl class="method">
171<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.getParamWithToken">
172<tt class="descname">getParamWithToken</tt><big>(</big><em>name</em>, <em>token</em>, <em>member</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.getParamWithToken" title="Permalink to this definition">¶</a></dt>
173<dd></dd></dl>
174
175<dl class="method">
176<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.is_fittable">
177<tt class="descname">is_fittable</tt><big>(</big><em>par_name</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.is_fittable" title="Permalink to this definition">¶</a></dt>
178<dd><p>Check if a given parameter is fittable or not</p>
179<table class="docutils field-list" frame="void" rules="none">
180<col class="field-name" />
181<col class="field-body" />
182<tbody valign="top">
183<tr class="field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
184<li><strong>par_name</strong> &#8211; the parameter name to check</li>
185</ul>
186</td>
187</tr>
188</tbody>
189</table>
190</dd></dl>
191
192<dl class="method">
193<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.run">
194<tt class="descname">run</tt><big>(</big><em>x=0.0</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.run" title="Permalink to this definition">¶</a></dt>
195<dd>Evaluate the model
196&#64;param x: input q-value (float or [float, float] as [r, theta])
197&#64;return: (PowerLaw value)</dd></dl>
198
199<dl class="method">
200<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.runXY">
201<tt class="descname">runXY</tt><big>(</big><em>x=0.0</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.runXY" title="Permalink to this definition">¶</a></dt>
202<dd>Evaluate the model
203&#64;param x: input q-value (float or [float, float] as [qx, qy])
204&#64;return: PowerLaw value</dd></dl>
205
206<dl class="method">
207<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.setParam">
208<tt class="descname">setParam</tt><big>(</big><em>name</em>, <em>value</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.setParam" title="Permalink to this definition">¶</a></dt>
209<dd><p>Set the value of a model parameter</p>
210<table class="docutils field-list" frame="void" rules="none">
211<col class="field-name" />
212<col class="field-body" />
213<tbody valign="top">
214<tr class="field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
215<li><strong>name</strong> &#8211; name of the parameter</li>
216<li><strong>value</strong> &#8211; value of the parameter</li>
217</ul>
218</td>
219</tr>
220</tbody>
221</table>
222</dd></dl>
223
224<dl class="method">
225<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.setParamWithToken">
226<tt class="descname">setParamWithToken</tt><big>(</big><em>name</em>, <em>value</em>, <em>token</em>, <em>member</em><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.setParamWithToken" title="Permalink to this definition">¶</a></dt>
227<dd></dd></dl>
228
229<dl class="method">
230<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.teubnerStreyDistance">
231<tt class="descname">teubnerStreyDistance</tt><big>(</big><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.teubnerStreyDistance" title="Permalink to this definition">¶</a></dt>
232<dd>Calculate the quasi-periodic repeat distance (D/(2*pi))
233&#64;return D: quasi-periodic repeat distance</dd></dl>
234
235<dl class="method">
236<dt id="sans.models.TeubnerStreyModel.TeubnerStreyModel.teubnerStreyLengths">
237<tt class="descname">teubnerStreyLengths</tt><big>(</big><big>)</big><a class="headerlink" href="#sans.models.TeubnerStreyModel.TeubnerStreyModel.teubnerStreyLengths" title="Permalink to this definition">¶</a></dt>
238<dd>Calculate the correlation length (L)
239&#64;return L: the correlation distance</dd></dl>
240
241</dd></dl>
242
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