Rephrase some of statement of need

paper.md

@@ -73,10 +73,10 @@ While it can be important to develop an understanding of these files and their c
 
 `Mayawaves` is an open-source python library for processing, studying, and exporting NR simulations performed using ETK and `MAYA`.
 While other tools exist to analyze ETK simulations including, but not limited to, Kuibit [@Bozzola_kuibit_2021], Power [@Johsnon], PyCactus [@Kastaun], and SimulationTools [@Hinder], `Mayawaves` is unique in the way it not only streamlines simulation analysis but also the production of NR catalogs.
-`Mayawaves` builds upon the existing set of tools, creating a new python library designed for convenience and intuition.
-When using the library to interact with a simulation, the user does not need to be familiar with all the types of output files generated by the simulation, but rather, can think in terms of physical concepts such as *coalescences* and *compact objects*.
+`Mayawaves` builds upon the existing set of tools, creating a new python library designed for convenience and intuition, while still being versatile and powerful enough to perform more complex analyses.
+When using the library to interact with a simulation, the  user does not need to be familiar with all the types of output files generated by the simulation, but rather, can think in terms of physical concepts such as *coalescences* and *compact objects*.
 This dramatically reduces the barrier to entry for the field of NR.
-It is also versatile and easily extensible in order to perform more complex analyses.
+The architecture of `Mayawaves` is easily extensible, designed with the purpose of being able to naturally grow to encompass more types of simulation output.
 One of the ways in which `Mayawaves` has uniquely improved the NR analysis infrastructure is that it stitches together raw NR simulations and stores them in h5 files, a format that handles numerical data more efficiently than ascii. 
 This significantly reduces the disc space taken by the simulation while still retaining the precision of the raw data.
 It also keeps all the data organized in one place, making it easier to share and distribute simulations.