School short description

COVID-19 update: The situation regarding the global pandemic forced us to switch the form of the School to be performed online. The dates also have been rescheduled. Please see below.

AGH Physics Summer School will be held at the Campus that is located at the heart of Krakow. It is aimed at completing the education and is specifically targeted for physics and applied informatics science students of both first and second cycle. The School may be an excellent opportunity for student thinking about starting their research on experimental physics. The programme of the School combines a series of high quality, self-contained lectures and practical work on projects supervised by highly capable tutors that leading scientific research in collaboration with high profile international teams. All lectures will be delivered at the beginning of the School (first week). There will be a number of dedicated time slots for discussions with the lecturers during that week. The remainder of the School will be dedicated to working through the individual projects. Each project will be tackled by a team of two students. All students will be required to present and discuss their work during Seminar Sessions at the end of the School. The working language of the lectures, discussions and presentations will be English. The specific timetable will be available/is available here.

High Energy Physics

High Energy Physics is set to explore the most basic and fundamental questions related to the nature of our Universe. Research in this field seeks to identify the fundamental constituents of matter and uncover the laws that govern their interactions. The present state of knowledge of what these fundamental building blocks are, and how they interact together, is called the Standard Model (and the most recent discovered new particle is the famous Higgs boson). This model, however, is not perfect, and we know it! It does not account for dark matter, dark energy or gravity. The researchers are trying now to find a better theory that will include the Standard Model petty, much like Einstein's mechanics included the classical (Newtonian) theory. There is still much to do, and at present, we are upgrading our experiments to get another good look at our Universe.

Computer Science

Principal areas of study within Computer Science include artificial intelligence, computer systems and networks, security, database systems, vision and graphics, numerical analysis, programming languages and software engineering. The problems that computer sciencetist encounter range from the abstract, determining what problems can be solved with computers and the complexity of the algorithms that solve them, to the tangible, designing applications that perform well on handheld devices, that are easy to use.

Detector and Electronics

In order to search for the tiny fundamental particles, we need very specialised and complicated tools. These unique microscopes are called detectors. During the School, you will learn about the physics phenomena related to and technologies used for designing these particle detectors. We introduce both general concepts as well as more detailed description of selected types of devices. Since simulation studies are vital in the designing process, we will also cover those topics. Presently we cannot operate the detectors without sophisticated readout electronics. So, you will also get a basic introduction on these essential elements of the experimental hardware as well.


More information

1School dates
  • July 13th - 24th and Sep 16th - 18th 2020
  • Particle Physics
  • Machine Learning
  • Software Tools
  • Tools for Data Analysis
  • Online lectures
  • Online hands-on tutorials
  • Online individual projects
  • Remember! Our School is an ideal place to learn everything you always wanted to know about experimental science but were afraid to ask...

Organizing Committee

Agnieszka Obłąkowska-Mucha
Associate professor @AGH, Experience: Physics of heavy quarks at LHCb experiment, Radiation Damage in Semiconductor Detectors, Simulation and Data Analyses.
Iwona Grabowska-Bołd
Associate professor @AGH, Experience: physics of heavy-ion collisions at the ATLAS experiment, online event filtering (trigger), data-quality assessment, big data analysis.
Tomasz Szumlak
Associate professor @AGH. The field of expertise related to the experimental high energy physics, silicon detector systems and applied machine learning.
Bartosz Mindur
Associate professor @AGH. The field of expertise related to DAQ systems, detector readout electronics, software design, C++ and Python programming, FPGA-based hardware and firmware development.
Bartłomiej Rachwał
Assistant professor @AGH, Experience and competence c++ programming, Agile Project Management and Data Analysis related to beyond Standard Model searches and Radiation Damge in semiconductor detectors at LHCb experiment.

We're Passionate About Science and Education

Our goal is to provide the deep knowledge for everybody interested.

  • Everything we teach has direct positive impact
  • You will become an important part of our community
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