Algorithms aimed at the evaluation of critical quantities are based on models with many
parameters, which values are estimated from data. The knowledge, with high accuracy, of
these values and the control of their temporal evolution are important features. In this
work, we focus on the latter subject, and we show a proposed pipeline for the BAM (Basic
Angle Monitoring) Long Term Analysis, aimed at the study of the calibration parameters of
the BAM device and of the Basic Angle variation, searching for unwanted trends, cyclic
features, or other potential unexpected behaviours.