CODE 101955 ACADEMIC YEAR 2024/2025 CREDITS 6 cfu anno 2 FISICA 9012 (LM-17) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR FIS/01 LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW What is a physics experiment on fundamental interactions at colliders about? What precision measurements can be done and with what tools? What approaches does a collider offer for the discovery of new physical phenomena? These are the main questions the course wants to answer, providing students with state-of-the-art analysis of the data collected by the colliders, passing through a critical understanding of historical results and looking at future experiments. AIMS AND CONTENT LEARNING OUTCOMES Students are expected to acquire the knowledge necessary to understand the physics studies of fundamental interactions addressed at a collider experiment, to interpret the data collected in terms of physics measurements, and to orient themselves to possible future research and experiments. AIMS AND LEARNING OUTCOMES The course aims to provide the conceptual, theoretical and methodological tools for a clear understanding of the experimental results in fundamental interactions physics, with particular emphasis on those produced by the experiments operating at colliders. To achieve this goal, students will learn how to use the collected data to reconstruct and identify the particles produced in the collisions, and how to combine this information to investigate the content of data in terms of physics observables. At the end of the course, the student will be able to: qualitatively design a hypothetical project for an accelerator and corresponding experimental apparatus for the study of various categories of processes; understand and critically analyze a generic scientific paper concerning experimental particle physics (in particular those concerning collider physics); independently develop each step of a data analysis producing a new physical result, from the characterization of the adopted tools, to the statistical treatment of the results and their comparison with theoretical predictions (preliminary work for any Master's thesis work in the field). PREREQUISITES The following prerequisites on the knowledge of particle physics and statistical treatment of data are required to effectively acquire the key teaching contents of this course: basic understanding of the key elements of the Standard Model, including: particle classification, composition of hadrons according to the quark model, electroweak interactions and their mediators; description of the interactions between elementary particles through Feynman diagrams and their use to qualitatively estimate their properties; interaction of radiation with matter; estimation of the different possible errors on a measurement and related propagation techniques; fundamentals of programming languages commonly used in physics experiments at colliders (e.g. C ++, Python). If deemed useful or necessary, the course will feature a summary of the contents, among those listed above, which have not been covered by previous compulsory courses. TEACHING METHODS The course is mainly based on lectures and specific activities, in the form of a short series of seminars on selected topics. Lectures are carried out with the help of multimedia presentations and the use of the blackboard. Computer-based practice exercises will also be proposed, focussing on the reconstruction of data and the consequent analysis of physics processes at colliders, using simulated data and data recorded by the real experiments. Attending the practice exercises is strongly suggested. SYLLABUS/CONTENT Key characteristics of a physics experiment of fundamental interactions at colliders. Introduction to the most common types of experimental measurements: cross sections, angular distributions, lifetimes, oscillation phenomena. Collider design elements, depending on the phenomena under study, with a brief discussion of tracking systems, calorimetry, particle identification, and real-time selections (trigger). Reconstruction of physics observables in the products of a collision, definition and measurement of the final state. Real-data calibration techniques for reconstruction and analysis tools. Interpretation of data collected in terms of physics measurements. Non-ideality of the analysis process: characterization of reconstruction and identification efficiency, presence of false candidates (fakes) and estimation of the resolution for reconstructed observables. Experimental methods to obtain a reliable estimate of physical and instrumental backgrounds: studies based on simulations or on real data (data-driven techniques), definition of control regions and control samples. Statistical interpretation of the results obtained: treatment of statistical and systematic errors, measurement processes or limit setting, unfolding techniques. Techniques for the optimization of scientific results, for example in terms of signal-to-background maximization: traditional and innovative approaches, from the application of cuts on individual observables to the use of machine learning techniques. Examples of key measurements in the Standard Model: CP violation, asymptotic freedom of QCD, spontaneous symmetry breaking through the Higgs mechanism. Development of searches for physical phenomena not foreseen by the Standard Model, both in terms of data analysis and in terms of designing future accelerators and detectors. Practical exercises on relevant measurements in the field, based on the analysis of publicly available simulated and real data. RECOMMENDED READING/BIBLIOGRAPHY The slides used for the lectures will be available on AulaWeb by the end of each cycle of lessons, together with any further information and other bibliographic material, all provided in PDF format. The guidelines for the practical exercises will be provided, again on AulaWeb and in PDF format, reasonably in advance with respect to the preparation of the exercises themselves. In addition, the following list of textbooks is provided, to be intended as supporting material for more in-depth studies. The textbooks are available at the M.F.N. library. C. Grupen, B. Schwartz - Particle Detectors, 2nd ed., Cambridge University Press - 2008 D. Griffith - Introduction to Elementary Particles, 2nd, Revised Edition, J. Wiley - 2008 G. Bohm, G. Zech - Introduction to Statistics and Data Analysis for Physicists, DESY - 2010 F. Halzen, A. Martin - Quarks and leptons, J. Wiley - 1984 S. Braibant, G. Giacomelli, M. Spurio - Particles and fundamental interactions, Springer - 2009 Particle Data Group - Particle detectors at accelerators - 2017 TEACHERS AND EXAM BOARD CARLO SCHIAVI Ricevimento: Any day, upon mail request at the following address: carlo.schiavi@ge.infn.it FEDERICO SFORZA Ricevimento: At DIFI (office S825) or through TEAMS, to be arranged by email (federico.sforza@unige.it) ROBERTA CARDINALE Ricevimento: Reception to be agreed upon e-mail / MS Teams contact. Roberta Cardinale Department of Physics, via Dodecaneso 33, 16146 Genoa floor 8, studio 817 e-mail: roberta.cardinale@ge.infn.it Exam Board CARLO SCHIAVI (President) ROBERTA CARDINALE FEDERICO SFORZA (President Substitute) LESSONS LESSONS START Please consult the official calendar available at: https://corsi.unige.it/corsi/9012/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The exam consists of an oral test focusing on the topics of the course and a dissertation of a scientific article, or more if related to the same topic, about a physics measurement performed at colliders. The article will be presented by the student by giving a seminar lasting about 25 minutes. ASSESSMENT METHODS The evaluation of the seminar will be based on the correctness, the level of detail, the clarity of the exposition, and the ability to summarize. The oral exam will focus on the topics covered during the lectures with the aim of assessing the level of knowledge achieved by the student on experimental physics analyses at particle colliders. The ability to present the topics clearly and with correct terminology will also be evaluated. Exam schedule Data appello Orario Luogo Degree type Note 14/02/2025 09:00 GENOVA Esame su appuntamento 29/07/2025 09:00 GENOVA Esame su appuntamento 19/09/2025 09:00 GENOVA Esame su appuntamento FURTHER INFORMATION Regular attendance is strongly recommended, including attendance at practice exercises. Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Sergio Di Domizio (sergio.didomizio@unige.it), the Department’s disability liaison. 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