docs landing site beef up (#1465)

docs/markdown/pysdm_landing.md

@@ -1,6 +1,6 @@
 # Introduction
 
-<img align="left" src="https://raw.githubusercontent.com/open-atmos/PySDM/main/.github/pysdm_logo.svg" width=150 height=219 alt="pysdm logo" style="padding-right:1em">
+<img align="left" src="https://raw.githubusercontent.com/open-atmos/PySDM/main/docs/logos/pysdm_logo.svg" width=150 height=219 alt="pysdm logo" style="padding-right:1em">
 
 PySDM offers a set of building blocks for development of atmospheric cloud
 simulation systems revolving around the particle-based microphysics modelling concept

docs/templates/index.html.jinja2

@@ -24,25 +24,32 @@
     <main class="pdoc">
         <div style="display: flex; align-items: center;">
             <a href="https://open-atmos.github.io/PySDM/index.html">
-                <img src="https://raw.githubusercontent.com/open-atmos/PySDM/main/.github/pysdm_logo.svg" style="height:10em" alt="PySDM logo">
+                <img src="https://raw.githubusercontent.com/open-atmos/PySDM/main/docs/logos/pysdm_logo.svg" style="height:10em" alt="PySDM logo">
             </a>
             <h1 style="padding-left: 0.5em; color: #13A4DE; font-weight: normal ">Documentation</h1>
     </div>
     <div style="padding-top: 2em">
         <h2>What is PySDM?</h2>
         <p>
-            PySDM is a package for simulating the dynamics of population of particles.
-            It is intended to serve as a building block for simulation systems modelling fluid flows involving a dispersed phase, with PySDM being responsible for representation of the dispersed phase.
-            Currently, the development is focused on atmospheric cloud physics applications, in particular on modelling the dynamics of particles immersed in moist air using the particle-based (a.k.a. super-droplet) approach to represent aerosol/cloud/rain microphysics.
-            The package features a Pythonic high-performance implementation of the Super-Droplet Method (SDM) Monte-Carlo algorithm for representing collisional growth 
-            (<a href="https://doi.org/10.1002/qj.441">Shima et al. 2009</a>), hence the name.
+            <video controls style="float:right; width:40%">
+                <source src="https://github.com/open-atmos/PySDM/wiki/files/animation_save.mp4" type="video/mp4">
+                Your browser does not support the video tag.
+            </video>
+            PySDM is a package for simulating the <mark>dynamics of population of particles undergoing diffusional and collisional growth (and breakage)</mark>.
+            The package features a Pythonic high-performance (multi-threaded CPU &amp; CUDA GPU) implementation of the <mark>Super-Droplet Method (SDM) Monte-Carlo algorithm</mark> 
+              for representing collisional growth (<a href="https://doi.org/10.1002/qj.441">Shima et al. 2009</a>), hence the name.
+            It is intended to serve as a building block for simulation systems modelling <mark>fluid flows involving a dispersed phase</mark>,
+               with PySDM being responsible for representation of the dispersed phase.
+            Currently, the development is focused on atmospheric <mark>cloud physics applications</mark>, in particular on modelling the dynamics of 
+              particles immersed in moist air using the particle-based (a.k.a. super-droplet) approach to represent aerosol/cloud/rain microphysics.
+            The key goal of PySDM is to enable rapid development and independent reproducibility of simulations in cloud microphysics
+              while being free from the two-language barrier commonly separating prototype and high-performance research code.
         </p>
     </div>
     <div style="padding-top: 0.5em">
         <h2>What is the difference between PySDM and PySDM-examples?</h2>
         <p>
-            PySDM is a Python package that provides the implementation of the Super-Droplet Method (SDM) Monte-Carlo algorithm.
-            It is a library that can be used in your own projects.
+            PySDM is a Python package that provides the implementation of SDM that can be used in your own projects.
         </p>
         <p>
             PySDM-examples is a Python package that provides examples of how to use PySDM.
@@ -159,7 +166,7 @@ jupyter-notebook PySDM/examples</code></pre>
         </p>
         <p>
           Development of PySDM was supported by:
-          <ul>
+          <ul style="list-style:square; margin-left:1em;">
             <li><a href="https://www.fnp.org.pl/en/">Foundation for Polish Science</a> (grant no. POIR.04.04.00-00-5E1C/18 co-financed by the European Union under the European Regional Development Fund)</li>
             <li><a href="https://ncn.gov.pl/en">Polish National Science Centre</a> (grant no. 2020/39/D/ST10/01220)</li>
             <li><a href="https://science.energy.gov">US Department of Energy</a> via the <a href="https://www.krellinst.org/csgf/">Computational Science Graduate Fellowship</a> and via the <a href="https://asr.science.energy.gov/">Atmospheric System Research Program</a> (grant no. DE-SC0021034)</li>

examples/docs/pysdm_examples_landing.md

@@ -1,6 +1,6 @@
 # Introduction
 
-<img align="left" src="https://raw.githubusercontent.com/open-atmos/PySDM/main/.github/pysdm_logo.svg" width=150 height=219 alt="pysdm logo" style="padding-right:1em">
+<img align="left" src="https://raw.githubusercontent.com/open-atmos/PySDM/main/docs/logos/pysdm_logo.svg" width=150 height=219 alt="pysdm logo" style="padding-right:1em">
 
 PySDM examples are engineered as Jupyter Python notebooks supported by auxiliary Python commons
   that constitute a separate <mark>PySDM-examples</mark> Python package which is also