the course aims primarily at nuclear/particle or astro-particle physics PhD students, interested in learning about the state-of-the-art development in particle detection techniques. PhD students are brought together with internationally known and active researchers in the field, expert in detection techniques and involved in current research and development projects in future particle detectors for high energy particle physics.
The course is made of two parts - one week October 15-19 - in Copenhagen, and then one week - October 29 - November 2 - in Helsinki , where laboratory facilities for detector building are available.
The Copehagen part of the course consists of lectures from the experts in the field , complemented by laboratory exercises on trigger/daq and silicon sensor testing and by computing exercises on tracking and detector simulation. The Helsinki part of the course consists on detector labs, specifically building a gas-filled wire chamber and measuring silicon detector response to radiation.
In this course the PhD students will also acquire detailed knowledge about simulation programs for particle physics detectors , and data acquisition programs to be used for collecting data in the lab. The PhD students will acquire hands on experience with building and operating detectors for particle physics.
After the course, the PhD students will have a much deeper and wider knowledge of the field of particle detection. teachers: Prof. Richard Brenner (Uppsala University), Dr. Samuel Silverstein (Stockholm University), Prof. Paula Eerola ,Ejia Tuominen (Helsinki University), Prof. Peter Hansen , Dr. Stefania Xella , Dr. Craig Wiglesworth (Niels Bohr Institute)
ECTS credits
The number of ECTS credits awarded for the course is as follows:
5 ECTS for attending the full week in Copenhagen *and* handing in the exercises (2 ECTS for attending the full week without handing in the exercises)
5 ECTS for attending the full week in Helsinki *and* handing in the exercises (2 ECTS for attending the full week without handing in the exercises)
