#;Title of the lecture;Short synopsis;Date;Track-lecture;Lecturer;Tutor

1;Tracking and tracking detectors;The precise reconstruction of the trajectories and momenta of charged particles is a crucial ingredient for almost any particle physics experiment. Traditionally, this was done in gaseous detectors such as wire chambers, while most recent experiments employ silicon microstrip or pixel detectors. In the lecture, we will discuss basic properties of these detector technologies, their respective advantages and disadvantages, and look at some implementations. In the tutorial, we will look at a few simple track reconstruction algorithms.;13/02 17:30 classroom B-3 (аудитория Б-3);III-3;Olaf Steinkamp;Michele Atzeni 2;Systematics in experiments design;Systematic uncertainties are one of the most difficult aspects of most analyses. In the lecture, we will discuss how systematic effects can be minimized in the design of an experiment, taking as an example the NA48 experiment at CERN that proved the existence of direct CP-violation in the K0K0bar system. In the tutorial we will discuss systematic effects and their treatment in one of the flagship analyses in LHCb;20/02 17:30 classroom B-3 (аудитория Б-3);III-4;Olaf Steinkamp;Patrick Owen 3;Machine Learning in Particle Physics for signal selection;We will discuss some Machine Learning algorithms popular in particle physics (and beyond) four signal selection. We will concentrate on Decision Trees, Boosted Decision Trees and more in general on Ensemble methods. We will discuss the main aspects concerning signal selection in particle physics. This lecture will include feature engineering, discussion of possible biases in searches for new signals, extraction of the background from data and blind analyses. We will also discuss selection optimization and the use of MonteCarlo simulation for signal selection;28/0217:30 classroom B-3 (аудитория Б-3);IV-3;Nico Sera;Davide Lancierini 4;---;After an introduction to general Monte Carlo techniques, Geant4 detector simulation toolkit will be presented. We will discuss its overall architecture, its features and capabilities, briefly present the different physics models that Geant4 offers. In the second part of the lecture, implementation the different components needed to build a Geant4 application will be discussed. We learn how to write the detector geometry description, how to interface it to event generators and how to extract the information about the simulated ‘hits’ in the detector;06.03 17:30 classroom B-3 (аудитория Б-3);II-3;Witold Pokorski; - 5;---;The lecture will deal with the problem of measuring the energy of charged and neutral particles. The different calorimetric concepts and the adopted techniques will be presented. It will be also studied the case of calorimeters based on nuclear emulsion films. The achieved performances will be reported;20/03 17:30 classroom B-3 (аудитория Б-3);II-4;Giovanni DeLellis;- 6;---;The lecture will address experiments on beam-dump facilities. Various physical, methodical and methodological aspects of this type of experiments will be thoroughly discussed. Current status of CERN beam dump facility and SHiP experiment will be outlined;26/03 classroom B-3 (аудитория Б-3);II-2;Andrey Golutvin;Lesya Schutska 7;I---;The simulation of physics processes, detector responses, and other effects is important step for inference new knowledge from experimental data. In this lecture we'll discuss methodology of using simulation for extracting physics result from data, direct and reverse problems, different steps for the event simulation in experimental High energy physics, and tools for that;03/04 17:30 classroom B-4 (аудитория Б-4);IV-4;Fedor Ratnikov;Eugeny Kurbatov 8;Artificial Neural Networks in Particle Physics;We will discuss the basis of Artificial Neural Networks and details of fully connected feed-forward neural network. We will also discuss some more modern architectures such as convolutional neural networks and recurrent neural networks. We will see various examples of the use of these architectures in particle physics and discuss prospects for future LHC high luminosity experiments;11/04 17:30 classroom B-3 (аудитория Б-3);IV-2;Nico Sera;Jonas Eschle 9;---;The trigger system is a crucial component in the design of a particle physics experiment as it determines which events are kept for further analysis. Its task is to efficiently select interesting events, while quickly discarding all other events. The trigger system is part of the data acquisition (DAQ) system that is responsible for collecting the data from the detector system as well as data processing and recording for permanent storage. The lecture will introduce basic concepts of how to form a trigger decision and discuss the main parameters to be considered in the trigger design. A special focus is on LHC experiments where the beam crossing rates are orders of magnitudes higher compared to the rate of events interesting for physics analysis. As an example the multi-level trigger and DAQ system of the CMS experiment at LHC is discussed in the lecture. In the tutorial we derive trigger strategies for specific physics processes and perform calculations of trigger efficiencies, rates and processing times;17/04 17:30 classroom B-3 (аудитория Б-3);III-5;Lea Caminada;Olaf Steinkamp 10;Closing lecture;It the closing lecture of the course we will briefly review the main facts and ideas from all four tracks. We also discuss general landscape on “Energy”-, “Intensity”- and “Astro”- frontiers from two perspectives: what are the current fundamental theory challenges on each of the frontiers and what kind of modern and future experimental infrastructure is going to address them;24/04 17:30 classroom B-3 (аудитория Б-3);I-5;Vladimir Shevchenko;- 11;EXAM;EXAM;29/04 18:00 classroom B-3 (аудитория Б-3);-;-;-