Resources & Materials

This section contains useful documents, notes, and resources that I’ve compiled during my research. Feel free to explore and use anything that might be helpful for your own work.

Research Notes

Monte Carlo Methods

• Basic Monte Carlo Techniques - Introduction to fundamental MC concepts
• Advanced Sampling Methods - Variance reduction and importance sampling
• Parallel Monte Carlo - Techniques for parallel and distributed MC simulations

Particle Physics

• Standard Model Review - Quick reference for SM particles and interactions
• Detector Physics - Notes on particle detection and measurement
• Statistical Methods - Statistical techniques for particle physics analysis

Documents & Papers

Personal Notes

• PhD Research Log - Ongoing documentation of research progress
• Conference Notes - Notes from conferences and workshops
• Literature Review - Summary of relevant papers and publications

Useful References

• Computational Resources - Links to useful computational tools and libraries
• Physics Software - Review of simulation and analysis software packages

Code Examples

Monte Carlo Implementations

• Simple MC Integrator - Basic Monte Carlo integration example
• Event Generator - Simple particle physics event generator
• Analysis Tools - Utilities for data analysis

External Resources

Useful Links

• Particle Data Group: Comprehensive particle physics data and reviews
• arXiv.org: Latest preprints in particle physics and computational physics
• ROOT: Data analysis framework for particle physics
• Geant4: Simulation toolkit for particle interactions with matter

Recommended Reading

• Monte Carlo Methods in Statistical Physics by Newman & Barkema
• Introduction to Elementary Particles by Griffiths
• Statistical Data Analysis by Cowan

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Note: This is a living document that will be updated as new resources become available. If you find any of these materials useful or have suggestions for additions, please feel free to reach out.

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