Additional-Review-(marginalization-over-joint-population+EoS-uncertainty).md

+[[_TOC_]]
+
 # Executive Summary
 
+This review certifies that the updated implementation functions as expected (i.e., can reproduce previous results) and that the underlying calculation is sound. These changes allow for marginalization over joint uncertainty in the population and the EoS and provide tools to combine separate sets of samples from population models and EoS distributions into samples from the joint (but separable) distributions as needed.
+
+The reviewers sign-off on the following version of the code
+
+  * git hash : **XXX**
+
+which relies on standard python libraries (numpy, matplotlib) and
+
+  * [gw-distributions](https://git.ligo.org/reed.essick/gw-distributions) (tested with git hash : **YYY**)
+
 # Review Materials
 
+## technical note
+
+**WRITE ME**
+
+  * link to technical document describing monte carlo sums
+
+## library structure
+
+**WRITE ME**
+
+  * description of refactoring of library
+
+## comparison to previous results
+
+Below, we compare results obtained for previous (published) LVK analyses with the output from the new version of the code.
+
+**WRITE ME**
+
 ## materials from previous reviews
 
   * [original review used for GW190814](GW190814-Review)