New design using analyse steps 1 - reducing openpmd files to columnar parquet...

New design using analyse steps 1 - reducing openpmd files to columnar parquet files 2 - analysis from reduced sets to produce histograms + readme

README.md

@@ -4,13 +4,13 @@
 
 ## Motivations
 
-Realistic pic simulations, involving  3D grids or/and  collisions for instance, produce usually large datasets that do not fit into memory on a single machine. 
+Realistic pic simulations, involving  3D grids or/and  collisions for instance, produce usually large datasets that do not fit into memory on a single machine.     
 **pp-ana** uses parallel computing techniques to efficiently process arbitrary large datasets produced 
 by any [OpenPMD](https://github.com/openPMD/openPMD-standard) compatible PIC codes such as
 [WarpX](https://github.com/ECP-WarpX/WarpX), [PiconGPU](https://github.com/ComputationalRadiationPhysics/picongpu), [fbic](https://github.com/fbpic/fbpic).
 By leveraging [MPI(Message Passing Interface)](https://www.open-mpi.org/) and the [openpmd-api](https://openpmd-api.readthedocs.io/en/0.15.2/) library , 
-**pp-ana** reads input datasets in chunks, which helps to mitigate memory limitations on a single node.
-Furthermore **pp-ana** works perfectly on High-Performance Computing clusters, allowing for scalable and efficient data processing.
+**pp-ana** reads input datasets in chunks, which helps to mitigate memory limitations on a single node.    
+Furthermore **pp-ana** works perfectly on High-Performance Computing clusters, allowing for scalable and efficient data processing.    
 
 ## Overview