A comprehensive physics simulation and calculation tool built with PyQt5, featuring a modern Linux-style GUI with real experimental data integration and advanced visualizations.
- Mechanics: Real projectile motion with actual experimental data from basketball, cannonball, and baseball experiments including air resistance effects
- Thermodynamics: Laboratory gas measurements with Van der Waals corrections and real-world thermal analysis
- Waves & Optics: Authentic wave interference experiments from tuning forks, lasers, and microwaves with damping and noise effects
- Electromagnetism: Real circuit measurements and component specifications with actual laboratory data
- Quantum Physics: Actual energy level measurements from spectroscopy with real experimental uncertainty
- PyQt5 Professional GUI: Modern dark theme with Linux-style professional appearance
- Advanced UI Elements: Custom styling with hover effects, smooth animations, and responsive design
- Complete Menu System: File, Edit, View, Simulation, Tools, and Help menus with full functionality
- Tabbed Interface: Seamless navigation between different physics areas with persistent state
- Real-time Status Bar: Live updates, calculation progress, and system time display
- Advanced Physics Calculator: Comprehensive calculations across all physics areas with real-time validation
- Smart Unit Converter: Convert between different measurement systems with precision handling
- Interactive Formula Reference: Quick access to physics formulas, equations, and constants with search functionality
- Project Management: Save/load simulation configurations with full state persistence
- Data Export: Export plots, calculations, and experimental data in multiple formats (PNG, PDF, CSV, JSON)
- Configuration System: Customizable themes, fonts, and application behavior
Ctrl+N: New ProjectCtrl+O: Open ProjectCtrl+S: Save ProjectCtrl+E: Export Current ResultsCtrl+Q: Exit ApplicationF1: Help DialogF11: Toggle FullscreenCtrl+Plus/Minus: Zoom In/Out plots
- Python 3.7 or later (Python 3.11+ recommended)
- pip (Python package installer)
# Double-click run_pyqt5.bat or open command prompt and run:
.\run.bat# Make the script executable
chmod +x run.sh
# Run the application
./run.sh# Install dependencies
pip install -r requirements.txt
# Run the application
python main.py# Run the automated installer (handles dependencies and setup)
python installer.pyThe application requires the following Python packages:
PyQt5- Modern GUI framework with native look and feelmatplotlib- Scientific plotting and visualization with Qt5Agg backendnumpy- Numerical calculations and array operationspillow- Image processing and format support
- Launch the application using one of the methods above
- The main window opens with a tabbed interface showing all physics modules
- Select the physics area you want to explore from the tabs
- Use the left control panel to set experimental parameters
- Click "Run Simulation" or "Calculate" to execute with real experimental data
- View results in the integrated matplotlib plots with zoom and pan capabilities
- Real Projectile Data: Actual experiments including basketball free throws, military cannonball data, and baseball trajectory analysis
- Air Resistance Modeling: Realistic drag coefficients and atmospheric conditions
- Interactive Visualization: Real-time trajectory plotting with parameter sensitivity analysis
- Export Capabilities: Save trajectory data and plots in professional formats
- Laboratory Gas Data: Real measurements from various gases with Van der Waals corrections
- Experimental Conditions: Authentic pressure, temperature, and volume relationships
- Thermal Analysis: Heat transfer calculations based on actual material properties
- Phase Diagrams: Real substance behavior with experimental phase boundaries
- Interference Experiments: Real data from tuning fork, laser, and microwave experiments
- Damping Effects: Realistic energy dissipation and environmental noise
- Optical Phenomena: Authentic measurements from diffraction and interference setups
- Signal Processing: Analysis tools for experimental wave data
- Circuit Analysis: Real component specifications and measurement data
- Field Calculations: Based on actual experimental setups and measurements
- Laboratory Equipment: Simulates real oscilloscopes, multimeters, and signal generators
- Component Database: Authentic specifications for resistors, capacitors, and inductors
- Spectroscopy Data: Real energy level measurements from various atomic species
- Experimental Uncertainty: Authentic measurement precision and statistical analysis
- Quantum Effects: Based on actual laboratory observations and published research
- Wave Function Analysis: Real experimental validation of quantum mechanical predictions
- New Project: Start fresh with default parameters and clean workspace
- Save Project: Store complete simulation settings, data, and results as JSON
- Open Project: Load previously saved configurations with full state restoration
- Export Results: Professional output in PNG, PDF, SVG, and data formats (CSV, JSON)
- Session Management: Automatic saving of work sessions and crash recovery
- Physics Calculator: Advanced scientific calculator with physics-specific functions
- Unit Converter: Comprehensive conversion between SI, Imperial, and specialized units
- Formula Reference: Searchable database of physics formulas with interactive examples
- Data Analysis: Statistical tools for experimental data processing
- Configuration: Customize appearance, behavior, and default settings
- Authentic Measurements: All simulations based on real laboratory data and published research
- Experimental Uncertainty: Realistic error bars and statistical analysis
- Noise Modeling: Environmental effects and measurement limitations accurately modeled
- Validation: Cross-referenced with peer-reviewed physics literature
- Professional Plots: High-quality matplotlib graphs with publication-ready formatting
- Interactive Features: Zoom, pan, data cursor, and measurement tools
- Multi-plot Support: Compare different experiments and parameter variations
- Animation Capabilities: Real-time plotting and dynamic parameter updates
- Export Options: Vector and raster formats suitable for presentations and publications
- Responsive Interface: Adapts to different screen sizes and resolutions
- Intuitive Controls: Physics-aware input validation and smart defaults
- Context Help: Tooltips, status messages, and integrated documentation
- Error Handling: Graceful recovery from invalid inputs with helpful guidance
- Accessibility: Keyboard navigation and high contrast options
- Operating System: Windows 10, macOS 10.14, or Linux (Ubuntu 18.04+)
- Python: 3.7 or later
- RAM: 4 GB (8 GB recommended for large datasets)
- Storage: 100 MB free space
- Display: 1024x768 (1920x1080 recommended)
- Python: 3.11+ for optimal performance
- RAM: 8 GB or more for smooth operation with multiple modules
- Graphics: Hardware acceleration for matplotlib rendering
- Network: Internet connection for initial dependency installation
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This comprehensive physics application is designed for educational and research purposes. The modular architecture allows for easy extension:
- Create a new widget class inheriting from
QWidget - Implement the physics calculations using real experimental data
- Add visualization using the
PhysicsPlotCanvasclass - Register the module in the main application tabs
- Add new experimental datasets to existing modules
- Implement additional visualization options
- Extend the calculator and unit converter functionality
- Improve the user interface with new themes or layouts
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This project is designed as an educational tool for physics simulation and calculation. It integrates real experimental data from various published sources for educational purposes.
- PyQt5 Installation: Use
pip install PyQt5or the automated installer - Missing Dependencies: Run
pip install -r requirements.txt - Display Issues: Update graphics drivers for optimal matplotlib performance
- Permission Errors: Run installer as administrator on Windows
- Check the built-in help system (
F1or Help menu) - Review the interactive formula reference for physics equations
- Use the keyboard shortcuts reference for efficient navigation
- Consult the physics utilities documentation for calculation details
- Real experimental data sourced from peer-reviewed physics literature
- PyQt5 framework for modern cross-platform GUI development
- Matplotlib community for scientific visualization tools
- NumPy project for numerical computation foundation
- Physics education community for validation and feedback
Physics Application Suite v2.0.2 - Real physics, real data, real results! π¬β‘ππ