succolib 2020.6.4

A set of handy, Python-based tools for the INSULAb detectors data analysis

succolib

This is succolib, a library of handy Python functions for High-Energy Physics beamtests data analysis. In particular, it has been developed with a focus on the event-by-event analysis of the data collected with the INSULAb detectors — see, for example, the experimental configurations described here, here and here.

succolib provides several tools, mainly for

• data input and storage in pandas DataFrames — supported input formats are formatted text files (e.g. DAT files) and ROOT TTree files;
• data conditioning, i.e. typical transformations applied to and calculations performed on the raw data — e.g. particle tracking data reconstruction;
• statistical analysis, e.g. common distributions in High-Energy Physics, given in a highly accessible form to facilitate data visualisation and fitting.