Automatized analysis of the DCS data of the ALICE Inner Tracking System at the LHC

This project presents a web-based interactive tool for the automatized analysis of Detector Control System (DCS) data from the ALICE Inner Tracking System at the LHC. The tool replaces manual workflows with a user-friendly interface that enables automatic database queries, efficient data processing, and dynamic visualization of key parameters such as temperature, voltage, and current. Built in Python with Dash, pandas, and Plotly, the system streamlines access to large volumes of DCS data, allowing users to quickly identify anomalies and extract meaningful insights through time series trends and histograms.