Update documentation

nightly/_modules/cil/optimisation/utilities/sampler.html

@@ -754,6 +754,12 @@ <h1>Source code for cil.optimisation.utilities.sampler</h1><div class="highlight
 
 <span class="sd">        Reference</span>
 <span class="sd">        ----------</span>
+<span class="sd">        With thanks to Imraj Singh and Zeljko Kereta for their help with the initial implementation of the Herman Meyer sampling. Their implementation was used in:</span>
+<span class="sd">        </span>
+<span class="sd">        Singh I, et al. Deep Image Prior PET Reconstruction using a SIRF-Based Objective - IEEE MIC, NSS &amp; RTSD 2022. https://discovery.ucl.ac.uk/id/eprint/10176077/1/MIC_Conference_Record.pdf</span>
+<span class="sd">        </span>
+<span class="sd">        The sampling method was introduced in: </span>
+<span class="sd">        </span>
 <span class="sd">        Herman GT, Meyer LB. Algebraic reconstruction techniques can be made computationally efficient. IEEE Trans Med Imaging.  doi: 10.1109/42.241889.</span>
 
 <span class="sd">        Returns</span>

nightly/optimisation.html

@@ -6022,6 +6022,11 @@ <h3>Samplers<a class="headerlink" href="#samplers" title="Permalink to this head
 <li><p><strong>num_indices</strong> (<em>int</em>) – The sampler will select from a range of indices 0 to num_indices. For Herman-Meyer sampling this number should not be prime.</p></li>
 <li><p><strong>Reference</strong> – </p></li>
 <li><p><strong>----------</strong> – </p></li>
+<li><p><strong>thanks to Imraj Singh and Zeljko Kereta for their help with the initial implementation of the Herman Meyer sampling. Their implementation was used in</strong> (<em>With</em>) – </p></li>
+<li><p><strong>I</strong> (<em>Singh</em>) – </p></li>
+<li><p><strong>al. Deep Image Prior PET Reconstruction using a SIRF-Based Objective - IEEE MIC</strong> (<em>et</em>) – </p></li>
+<li><p><strong>&amp; RTSD 2022. https</strong> (<em>NSS</em>) – </p></li>
+<li><p><strong>sampling method was introduced in</strong> (<em>The</em>) – </p></li>
 <li><p><strong>GT</strong> (<em>Herman</em>) – </p></li>
 <li><p><strong>LB. Algebraic reconstruction techniques can be made computationally efficient. IEEE Trans Med Imaging.  doi</strong> (<em>Meyer</em>) – </p></li>
 </ul>
@@ -6405,6 +6410,11 @@ <h3>Samplers<a class="headerlink" href="#samplers" title="Permalink to this head
 <li><p><strong>num_indices</strong> (<em>int</em>) – The sampler will select from a range of indices 0 to num_indices. For Herman-Meyer sampling this number should not be prime.</p></li>
 <li><p><strong>Reference</strong> – </p></li>
 <li><p><strong>----------</strong> – </p></li>
+<li><p><strong>thanks to Imraj Singh and Zeljko Kereta for their help with the initial implementation of the Herman Meyer sampling. Their implementation was used in</strong> (<em>With</em>) – </p></li>
+<li><p><strong>I</strong> (<em>Singh</em>) – </p></li>
+<li><p><strong>al. Deep Image Prior PET Reconstruction using a SIRF-Based Objective - IEEE MIC</strong> (<em>et</em>) – </p></li>
+<li><p><strong>&amp; RTSD 2022. https</strong> (<em>NSS</em>) – </p></li>
+<li><p><strong>sampling method was introduced in</strong> (<em>The</em>) – </p></li>
 <li><p><strong>GT</strong> (<em>Herman</em>) – </p></li>
 <li><p><strong>LB. Algebraic reconstruction techniques can be made computationally efficient. IEEE Trans Med Imaging.  doi</strong> (<em>Meyer</em>) – </p></li>
 </ul>