Particle Physics Event Reconstruction Pipeline

Build an advanced Python framework for reconstructing and analyzing particle physics experimental data. Develop sophisticated signal processing algorithms, implement machine learning-based event classification, create detailed particle trajectory reconstruction tools, and support multiple high-energy physics data formats. Handle large-scale particle collision datasets, provide statistical uncertainty quantification, and generate comprehensive physics analysis reports.