Accessing Particle Reference Data in High Energy Physics with Kotlin

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 paper presents KParticle, a Kotlin-based solution for providing structured access to particle reference data using the SQLite database distribution. The system uses a multi-tiered architecture that separates client applications from database-specific implementation details, ensuring modularity and scalability. KParticle is suitable for integration into modeling environments, data analysis pipelines, validation tools, and machine learning applications, improving the integration of particle reference information.