(in Polish) Computing in Experimental Particle Physics 1100-4CEPP
- Detectors
- Interaction of particles with matter
- Tracking detectors
- Calorimeters
- Detector systems
- Triggering and data acquisition
- Readout electronics
- Triggering systems
- Data acquisition and flow
- Detector control systems
- Computer simulations
- Monte Carlo method
- Tools for particle collisions simulation
- Tools for simulation of particle interactions with matter
- Data analysis
- Introduction to ROOT package
- Particle information reconstruction
- Data classification
- Data selection efficiency and purity
- Experiment sensitivity estimation
- Good practices in the data analysis
the lecture will be held in a mixed form: lecture and workshop. Data analysis will be made with use of ROOT package.
Course coordinators
Learning outcomes
After finishing the course a student:
KNOWLEDGE
- knows detector design principles
knows data acquisition and processing methods
knows principles of computer simulations
knows particle properties reconstructions algorithms
SKILS
can design and implement a basic simulation chain from particle collisions to setting confidence limits on interesting variables
can browse articles repositories for information on methods used in experimental elementary particle physics
Assessment criteria
Assessment criteria:
attendance at lectures
home exercises performed during the semester
Bibliography
- review articles from
Particle Data Group - Glenn F. Knoll,
Radiation detection and measurement - Robert D. Cousins
Lectures on Statistics in Theory: Prelude to Statistics in Practice - Andy Buckley, et al.
General-purpose event generators for LHC physics
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: