Belgian High-School Students Internship Programme

Projects & Supervisors

Projects	Main Language	Supervisors	Assigned  Students	Special needs (provided by CERN)	Visit Group
ISOLDE CRIS Team: DAQ development Coding and testing a driver for motorised mirror mounts; or helping with testing of new components for the beamline next year	NL	Sarina Geldhof	Elke Holy	Dosimeter Safety shoes Helmet	Group 1
ISOLDE WISArD Team: alpha-/beta decay The project will introduce the concept of alpha and beta decay and the fundamental differences in their spectrum shapes.  Using the detection system of the Weak Interaction Study with Argon Decay (WISArD) experiment the students will collect data from alpha and beta sources.  This will introduce the concept of plastic scintillators and silicon strip detectors, commonly used in modern experimental setups to detect beta and alpha particles. Furthermore, it will allow to get acquainted to the processes of data collection by using modern Data Acquisition System (DAQ) and data analysis of the gathered spectra.	EN	Dinko Atanasov	Tim Wout		Group 1
Safety at CERN Radiation protection and Environmental measurements within the Health and Safety Department at CERN	FR	André Dziewa Pierre Carbonez	Charles Elena		Group 1
CMS Data Analysis Small CMS data analysis project and introducing them to the upgrade projects for Phase II (GEM/HGCAL).	NL	Pieter Everaerts Filip Moortgat	Faye Kaat		Group 2
Artificial intelligence in accelerators An important concept in the development of new accelerators, is the so-called Dynamic Aperture (or DA for short), a mathematical quantity that relates to the expected quality and stability of a particle beam in the machine. To calculate this DA, one uses simulations that model the accelerator (in our case the LHC), however, those require a lot of computing power. In the proposed project we will test a new approach, using Machine Learning (a type of artificial intelligence) to create a smarter setup of these simulations, resulting in less computing power demand.	NL	Frederik Van Der Veken Wietse Van Goethem	Amy Michiel Runa		Group 1
Muon detection The students will set up a pair of scintillators and photo-multiplier tubes and connect them to a NIM system in order to detect the signals of cosmic muons. If time permits they can develop a very simple data acquisition system on the basis of a VMEbus Time-Digital-Converter in order to measure the velocity of the muons. This part involves some programming in plain C.	EN/FR	Markus Joos	Alexia Anna		Group 2
Internet of Things and data visualization in augmented reality In the context of its operation, CERN is increasingly adopting Internet of Things technologies, such as ESP32-based equipment and WiFi/ Bluetooth / LoRA-enabled devices. A recent example of LoRA devices deployed at CERN is the Proximeter, a portable device created for and by the laboratory to help its members enforce physical distancing and ease contact tracing in the context of the ongoing pandemic. This data can however be rather difficult to interpret or present to a non-specialist audience. The project suggests to investigate how to visualize device status data in a systematic and dynamic way - specifically, using MQTT and 3D visualizations using WebGL and Three.JS - possibly combining traditional data charts and augmented reality.	FR	Brice Copy Thomas Oulevey	Emma Petar Robin		Group 1
Enhancing CERN's Educational Resources Database to test, evaluate and design science workshops Students will be working with CERN's educational resources database, which is a collection of various educational and outreach activities related to science at CERN. The aims of this project are:  - Enhancing the database through updating the existing entries, finding new activities, and strengthening links to CERN's technologies. - Testing and evaluating selected hands-on activities.  - Designing an inquiry-based learning workshop for young learners.	EN	Patrick Thill Anja Kranjc Horvat	Julie Seppe		Group 2
Anayzing massive datasets in the cloud Students will be familiarized with modern computing infrastructure used to analyze petabytes of data. They will get a hands-on experience on using cloud resources, CPU, GPU and Storage to execute data analysis jobs. Additionally, they will be introduced to open source software development and they will get to know some of the upstream communities we collaborate with.	EN	Spyros Trigazis	Xander Laurens		Group 2
Audiovisual production Follow CERN's audiovisual teams in their daily work and discover how a comms product is born from the pitching at the editorial meeting to the final publication on one of CERN's channels.	FR	Paola Catapano	Margot Satya		Group 2
Accelerator control The students will integrate the Operators team of the Proton Synchrotron (PS) and experience the day to day life in the Cern Control Center (CCC) They will discover how an accelerator is operated and how all the different machines are interconnected. Their task is to produce a presentation that will be used at cern to explain how all the accelerators are interconnected and how the beam transfers from one machine to the other. In other words a guide for visitors made by visitors!	FR	Ron Suykerbuyk	Esteban William		Group 2