CERN VeloPix Detector Framework & Hyperparameter Optimiser
Project description
velopix
Velopix is a high-performance track reconstruction framework designed for processing collision data from the LHCb detector at CERN. It reconstructs particle trajectories by analyzing hit patterns recorded across multiple detector modules.
Overview
The package provides a complete reconstruction pipeline along with multiple algorithms and tools for validation and analysis. It is intended for use in high-energy physics data workflows, particularly for experiments that involve tracking particles across layered detector systems.
Features
- Track reconstruction from raw detector hit data
- Multiple algorithmic approaches:
- Track-Following
- Graph-based Depth-First Search (DFS)
- Merged-Triplet Tree Search
- Efficient event parsing and data representation
- Built-in validation metrics:
- Hit efficiency
- Track purity
- Clone and ghost detection
- Modular and extensible design for algorithm development and optimization
Use Cases
Velopix is designed for:
- Physicists analyzing detector data from the LHCb experiment
- Developers comparing or building custom reconstruction algorithms
- Research teams building end-to-end pipelines for particle tracking
Documentation
Full documentation is available online:
License
This project is licensed under the MIT License. See the LICENSE file for details.
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