Synchronized with the source at 19ac5f8.

Author: Ainamacar

_sources/products/SrMise.txt

@@ -154,7 +154,7 @@ Similarly, on Fedora::
 For other Linux distributions consult the appropriate package manager.
 
 The simplest way to obtain diffpy.srmise on Linux systems
-is using ``pip`` to download and install the latest release from the
+is using ``pip`` to download and install the latest release from
 `PyPI <https://pypi.python.org>`_. :: 
 
    sudo pip install diffpy.srmise

doc/srmise/Granlund-aca-2015.pdf

@@ -243,7 +243,7 @@ <h2>Getting Started<a class="headerlink" href="#getting-started" title="Permalin
 </div>
 <p>For other Linux distributions consult the appropriate package manager.</p>
 <p>The simplest way to obtain diffpy.srmise on Linux systems
-is using <code class="docutils literal"><span class="pre">pip</span></code> to download and install the latest release from the
+is using <code class="docutils literal"><span class="pre">pip</span></code> to download and install the latest release from
 <a class="reference external" href="https://pypi.python.org">PyPI</a>.</p>
 <div class="highlight-python"><div class="highlight"><pre>sudo pip install diffpy.srmise
 </pre></div>

products/SrMise.html

@@ -118,7 +118,8 @@ <h1>References<a class="headerlink" href="#references" title="Permalink to this
 <li>L. Granlund, S. J. L. Billinge and P. M. Duxbury,
 <a class="reference external" href="https://dx.doi.org/10.1107/S2053273315005276">Algorithm for systematic peak extraction from atomic pair distribution
 functions</a>,
-<em>Acta Crystallogr. A</em> <strong>71</strong>, 392-409 (2015).</li>
+<em>Acta Crystallogr. A</em> <strong>71</strong>, 392-409 (2015).
+<a class="reference external" href="doc/srmise/Granlund-aca-2015.pdf"><img alt="downloadGranlundAca15" src="_images/pdficon_small.png" /></a></li>
 <li>P. Juhás and T. Davis, C. L. Farrow, S. J. L. Billinge, <a class="reference external" href="http://scripts.iucr.org/cgi-bin/paper?S0021889813005190">PDFgetX3:
 A rapid and highly automatable program for processing powder
 diffraction data into total scattering pair distribution functions</a>,