Igor Bychkovet al

You are already at the latest version High energy physics software uses reference particle data at all stages of modeling, reconstruction, and analysis. While programmatic access to Particle Data Group data is available through REST and Python-based solutions, there has been no native Kotlin implementation for the Java Virtual Machine ecosystem until now.

This version is not peer-reviewed. Submitted: 19 February 2026 You are already at the latest version Machine learning capabilities are expanding into scientific domains at an accelerating pace. When applied to high energy physics pattern discovery, they will generate candidates faster than traditional evaluation can absorb. ML finds patterns in past data. It is inherently post hoc. Whether those patterns reflect structure or coincidence is unknowable at discovery time.