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

@@ -40,7 +40,7 @@ The code is designed to leverage parallel processing using [MPI (Message Passing
   - `--output_dir` or `-o`: Directory to save the output Parquet files.
   - `--species` or `-s`: Particle species name (default: "electrons").
 
-- **Key Features**:
+- **Implemented Features**:
   - Traverses the specified OpenPMD directory to find relevant simulation files.
   - Reads electric field data (Ex, Ey, Ez) and particle data (positions and momenta).
   - Normalizes and filters particle data based on energy thresholds.
@@ -55,11 +55,11 @@ The code is designed to leverage parallel processing using [MPI (Message Passing
   - `--species` or `-s`: Particle species name (default: "electrons").
   - `--analyze` or `-a`: Type of analysis to perform: 'field', 'particle', or 'full' (default: 'full').
 
-- **Key Features**:
+- **Implemented Features**:
   - Initializes analyzers for field and particle data based on user input.
-  - Reads particle data and calculates energy, generating 2D histograms of particle distributions.
+  - Reads particle data and calculates energy, generating 2D/1D histograms of particle distributions.
   - Analyzes divergence of particle momenta.
-  - Reads electric field data and generates visualizations.
+  - Reads electric/magnetic field data and generates visualizationsin any 2D projections located in the middle of the non-visible direction.
 
 ## Requirements
 
@@ -135,7 +135,6 @@ mpirun -np <num_processes> python opmd_pq_reader.py -d <parquet_directory> -o <o
 	- `particle`: Analyze only the particle data.
 	- `full`: Perform both field and particle analyses (default).
 
-
 ### Examples
 
 - To filter data from a specific OpenPMD file: