Bachelor Thesis in Physics
Neural network neutrino direction reconstruction - In plain English: Where did that particle come from? Let's mimic a brain to find out!
Sigfrid Stjärnholm
During spring of 2021, half a year of research was presented in a thesis with the title 'Ghosts of Our Past: Neutrino Direction Reconstruction Using Deep Neural Networks'. The supervisor of the project was Christian Glaser at the Division for High Energy Physics at Uppsala University. Below you will find some links to material connected to the thesis. A popular science presentation in English and Swedish can be found below, which is a summary of the work and is suited for everyone - no matter the age or background knowledge.
Popular Science Presentation
The art of giving eyes to a computer
Follow the links below to view my popular science presentation, available in English and Swedish. The video is published to YouTube, and there are no prerequisites for taking in the content. The presentation can provide insight into the field and the project.
DiVA - The Thesis
Ghosts of Our Past: Neutrino Direction Reconstruction Using Deep Neural Networks
Follow the links below to get access to the published thesis on DiVA. You will find an abstract in English and in Swedish, as well as the thesis itself.
Phenomenological Video
An Ode to a Neutrino
Follow the links below to view a short video explaining what neutrinos are, and why they are an interesting topic to study.
ICRC 2021 - Proceeding
Neutrino direction and flavor reconstruction from radio detector data using deep convolutional neural networks
The work in the thesis led to the participation in ICRC 2021, an international conference within the field of astroparticle physics. Together with the supervisor Christian Glaser and a fellow student, Oscar Ericsson, we published a proceeding which can be found below.
