PLGAN - Photoluminescence Data Analysis for GaN

A PyQt5-based GUI application for processing and visualizing photoluminescence (PL) spectroscopy data, specifically designed for GaN (Gallium Nitride) semiconductor characterization.

Features

• Data Processing: Convert wavelength (nm) to energy (eV) for PL spectra analysis
• Wafer Mapping: Generate heatmaps for intensity, energy, thickness, and YB/NBE area ratio
• Multi-wafer Support: Process and visualize up to 26 wafers simultaneously
• Statistical Analysis: Calculate mean, sigma, and uniformity metrics
• Boxplot Generation: Create comparative boxplots across multiple wafers
• Image Grid Export: Combine individual wafer maps into grid layouts
• Configurable Settings: Adjustable parameters for wafer size, edge exclusion, and thresholds
• Parallel Processing: Utilizes multiprocessing for faster data processing

Installation

Prerequisites

• Python >= 3.9

Install from source

git clone https://github.com/thi-mey/PLGAN.git
cd PLGaN
pip install -e .

Dependencies

• matplotlib==3.10.3
• numpy==2.2.5
• pandas==2.2.3
• Pillow==11.2.1
• PyQt5==5.15.11
• scipy==1.15.3

Usage

Launch the GUI

PLGAN

Or run directly:

python -m PLGAN.main

Workflow

1. Select Parent Folder: Choose the directory containing wafer data subfolders
2. Select Wafers: Check the wafer slots (1-26) you want to process
3. Choose Analysis Type:
   • GaN - Int/eV: Intensity and energy mapping
   • GaN - Area ratio: YB/NBE area ratio analysis
   • GaN - Thickness: Thickness mapping from WDF data
   • nm to eV: Wavelength to energy conversion only
   • Clean: Remove generated files
   • Create folders: Organize raw files into numbered folders
4. Configure Options:
   • Data processing
   • Autoscale mapping
   • Identical scale mapping (manual or auto)
   • Slot number display
   • Statistics overlay
5. Run: Click "Run data processing" to execute

Settings

Access the Settings window to configure:

• Wafer size (cm)
• Edge exclusion (cm)
• Step size (cm)
• Energy range (eV)
• Intensity range
• Area ratio range
• Thickness range (um)

Settings are automatically saved to ~/PLGAN/settings_data.json.

Project Structure

PLGaN/
├── PLGAN/
│   ├── __init__.py
│   ├── main.py                 # Application entry point
│   ├── Layout/
│   │   ├── main_window_att.py  # Main window layout management
│   │   ├── frames_buttons.py   # UI buttons and controls
│   │   ├── setting_windows.py  # Settings dialog
│   │   └── layouts_style.py    # Qt stylesheet definitions
│   ├── Plot/
│   │   ├── frame_attributes.py # Plot frame management
│   │   ├── plot_functions.py   # WDXRF mapping and boxplot functions
│   │   ├── plot_style.py       # Plot button styles
│   │   └── utils.py            # Screenshot and utility functions
│   └── Processing/
│       ├── sequences.py        # Processing workflow orchestration
│       ├── function_common.py  # Common utilities (nm to eV, stats, etc.)
│       └── photoluminescencegan.py  # GaN-specific PL analysis
├── pyproject.toml
└── README.md

Data Format

Input

• PL Spectra: CSV files with wavelength/energy in first row, X/Y positions in first two columns
• Thickness Data: CSV files with columns grouped as (X, Y, Thickness) triplets

Output

• data_e_i.csv: Processed data with X, Y, intensity, energy
• data_filtered.csv: Filtered data within specified thresholds
• *_grid_df.csv: Pivoted grid data for mapping
• *.png: Individual wafer heatmaps
• Graphe/Mapping/All_*.png: Combined grid images
• Liste_data/Stats.csv: Statistical summary
• Liste_data/Boxplot_*.csv: Boxplot data

License

GPL-3.0-or-later

Author

Thibaut Meyer - thibaut.meyer3@gmail.com