Corso di laurea in Scienze Biologiche (L-13)

Bachelor's degree Thesis

Characterization of the BARI Front End Electronics for the ALICE Muon Trigger

• Measurements of efficiency curves, cluster sizes and working points for amplified FE-equipped Resistive Plate Chambers detectors;
• Setup of the test bench in INFN Laboratory in Torino
• Study of the dependence of the cluster size with respect to the HV value
• Study of the dependence of the efficiency curve with respect to the applied signal threshold

Master's degree Thesis

Optimization of the muon identification algorithm for the ALICE Muon Trigger

• Study of the matching efficiency
• Development of a new method which can reduce the performance drop by being able to resolve multiple muons crossing the same Local Board of the Muon Trigger System
• Study of the performances of the old and the new method with both pp and Pb-Pb real data using GRID tasks
• Study of the correct identification efficiency and misidentification rate using pp and Pb-Pb MC production both in centrality and p_T classes

PhD ongoing work

 Ongoing PhD program:

• Performance study for the RPCs of the ALICE muon trigger system in 2010-2016, and search for ageing effects
• Study of  production in Pb-Pb collisions at  in the  channel at forward rapidity:
  • Computation of the reference pp cross-section using interpolated LHC-b data
  • Evaluation of the Muon Trigger systematics using custom MC simulations and real data with GRID-executed tasks
  • Achievement of preliminary results presented in major conferences
  • Member of the paper committee for the related paper
• Actively involved in the development of the new Online and Offline software infrastructure for the muon trigger in view of the LHC Run 3:
  • Code optimization and porting of existing code
  • Programming custom software for the processing of detector data
  • Involved in the development of DQM And DAQ tool for data acquisition and data quality monitoring
• Developer of a framework capable of automatic and efficient download of Muon Trigger DCS data from OCDB and AMANDA channels:
  • Automatic and copy-less download and compression mechanisms
  • Committed code with standard routines and methods for standard operations and analysis aimed at reducing bug derived entropy in different analysers' results
  • Definition of a compressed data format for faster and simpler data sharing and exchange
  • Definition of a TTree-based custom vector with out-of-RAM buffering
  • Definition of a markdown-based file format to describe which kind of plots the automatic routine should generate and the plots' characteristics
  • Future development aimed at porting this DCS analysis code as a standard for all the ALICE detectors and systems