Speaker
Description
In this contribution, we present a unified software ecosystem designed to standardize data processing and analysis for the miniTrasgo International Network. The framework provides an intuitive interface for reproducible research by decoupling raw detector outputs—stored in a scalable 'data lake'—from a centralized PostgreSQL metadata index. At its core, the Cacatua Python SDK standardizes infrastructure access through a modular, task-based model for calibration, tracking, and particle identification. By separating data management from analysis logic, this framework minimizes integration overhead and ensures consistent, collaborative results across the entire network.
Additionally, we provide relevant details regarding the data processing chain, describing the transition from raw data to the event level. This includes a comprehensive overview of the calibration, noise filtering (cleaning), and track reconstruction stages.