velopix 0.8.3

CERN VeloPix Detector Framework & Hyperparameter Optimiser

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.

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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.

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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

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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

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Documentation

Full documentation is available online:

• Installation Guide
• System Overview
• API Reference

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License

This project is licensed under the MIT License. See the LICENSE file for details.