Archive · 28 Sep 2026
Grade 12 Student Wins CERN Beamline for Schools Physics Competition
Aarush Mandala is a Grade 12 student from Greenwood High School.
He and his team won an international physics competition.
The competition is organised by CERN.
Students had to suggest experiments using powerful particle accelerator beams.
Five teams from around the world were chosen.
Aarush’s team will carry out its experiment at research centres in Europe.
These include CERN in Switzerland, DESY in Germany and the University of Bonn.
The experience will help the students learn how scientists perform real experiments.
Aarush Mandala, a Grade 12 student at Greenwood High School, was named a winner of CERN’s 13th Beamline for Schools competition.
The international competition asks secondary students to design experiments using particle accelerator beams.
Five winning teams were selected from entries submitted by students worldwide.
Aarush and his teammates will conduct their proposed experiment at CERN, DESY and the University of Bonn.
The programme will provide practical experience in particle physics, experimental research and scientific problem-solving.
- Who
- Aarush Mandala, a Grade 12 student at Greenwood High School, and his winning team.
- What
- They won the 13th Beamline for Schools physics competition organised by CERN.
- When
- The article identifies the competition as its 13th edition but does not provide a specific date.
- Where
- The experiment will be conducted at CERN in Switzerland, DESY in Germany and the University of Bonn.
- Why
- The competition gives secondary school students practical experience designing and conducting particle-physics experiments.
- Competition
- 13th edition of Beamline for Schools (BL4S)
- Organiser
- CERN, the European Organization for Nuclear Research
- Winner
- Aarush Mandala, Grade 12 student
- School
- Greenwood High School
- Winning teams
- Five teams were selected worldwide
- Research locations
- CERN, DESY and the University of Bonn
- Subject
- Particle physics and accelerator-based research