The IceCube ML project

"The art of reconstruction - turning signal in a detector into an accurate estimate of what caused the signal - is a complex optimisation problem, for which Machine Learning and in particular Graph Neural Networks may be perfectly suited, if the processes behind the signal are understood from first principles and simulated accordingly."
[A possible mindset of the IceCube ML project]

Various performance plots (links to more below):







Group Members:




Troels C. Petersen
Project part: Inspiration, physics, detector, and coordination.
Period: First thoughts (with Andreas) in 2018.
Type: Regular job!
Goal: A great ML reconstruction, and fun getting there!
Andreas Soegaard
Project part: Eventually, probably all parts
Period: September 2021 (Marie-Curie Fellow).
Email: andreas.soegaardnbi.ku.dk?
Result: GitHub repository.
Morten Holm
Project part: GNN reconstruction, Moon pointing analysis
Period: February 2022 - December 2022 (Master Thesis).
Email: qgf305alumni.ku.dk
Result: GitHub repository.
Aske Luja Rosted
Project part: GNN high energy neutrino reconstruction
Period: October 2022 - October 2025 (Ph.D. at Chiba Univ.).
Email: askerostedgmail.com
Result: GitHub repository.
Peter Andresen
Project part: GNN Moon pointing analysis
Period: August 2022 - May 2023 (Master Thesis).
Email: pqb128alumni.ku.dk
Result: GitHub repository.
Andreas Mosgaard Joergensen
Project part: GNN classification and reconstruction of high energy neutrinos
Period: August 2022 - May 2023 (Master Thesis).
Email: andreas.mosgaard.97@gmail.com
Result: GitHub repository.
Simon Debes
Project part: GNN classification and reconstruction of muons, MC-data calibration
Period: August 2022 - May 2023 (Master Thesis).
Email: rlq306alumni.ku.dk
Result: GitHub repository.
Moust Holmes
Project part: GNN classification and reconstruction of upgrade data
Period: August 2022 - May 2023 (Master Thesis).
Email: moust.holmes@gmail.com
Result: GitHub repository.
Kaare Endrup Iversen
Project part: GNN Upgrade reconstruction, Neutrino oscillation analysis
Period: August 2021 - May 2022 (Master Thesis).
Email: nvc889alumni.ku.dk
Result: Master Thesis, Thesis Defence, and GitHub repository.
Leon Bozianu
Project part: GNN classification and reconstruction of muons, MC-data calibration
Period: August 2021 - May 2022 (Master Thesis).
Email: qzr746@alumni.ku.dk
Result: Master Thesis, Thesis Defence (Google Slides), Notes on files, and GitHub repository.





















For an introduction talk to the GraphNet paper, one can consider a seminar talk given by Troels in the Oxford physics group on 25th of October 2022.
A very useful document is
Etienne Bourbeau's Ph.D. thesis (2020), which gives a great introduction to both IceCube and data formats/level/etc. in general and neutrino oscillations in particular.
A great "primer" on neutrino oscillations in IceCube is Slides from Jason Koskinen (Summer School 2021), which gives a nice overview of the neutrino oscillation measurement in IceCube.




Previous group members:




Rasmus F. Oersoe
Project part: Graph Neural Net (PyTorch) reconstruction, data curration, etc.
Period: July 2020 - May 2021 (Master Thesis).
Email: pcs557alumni.ku.dk
Result: Master Thesis, Thesis Defence (Google Slides), and GitHub repository.
Haider Al-Saadi
Project part: Noise suppresion, (S)TGCN reconstruction?
Period: February - November 2021 (Master Thesis).
Email: krg825alumni.ku.dk
Result: GitHub repository.
Johann Bock Severin
Project part: GNN reconstruction (Keras TF), Angular Loss functions
Period: February - June 2021 (Bachelor Thesis)
Email: johann.bock.severingmail.com
Result: GitHub repository.
Christian Jespersen
Project part: GNN reconstruction (Keras TF)
Period: February - June 2021 (Bachelor Thesis).
Email: htd809alumni.ku.dk
Result: GitHub repository.
Jakob Schauser
Project part: GNN reconstruction (Keras TF)
Period: February - June 2021 (Bachelor Thesis).
Email: jakob.schausergmail.com
Result: GitHub repository.
Jonas Vinther
Project part: GNN reconstruction (PyTorch), Moon shadow analysis
Period: February - June 2021 (Bachelor Thesis).
Email: jv97live.dk
Result: GitHub repository.
Frederik V. S. S. Hansen
Project part: TCN reconstruction (Keras TF), Stopped Muon PID and reconstruction
Period: February - June 2021 (Bachelor Thesis).
Email: cjb924alumni.ku.dk
Result: GitHub repository.
Simon C. Debes
Project part: TCN reconstruction (Keras TF), Stopped Muon PID and reconstruction
Period: February - June 2021 (Bachelor Thesis)
Email: rlq306alumni.ku.dk
Result: GitHub repository.
Mads Ehrhorn
Project part: CNN and TCN reconstruction, data curration, etc.
Period: September 2019 - February 2021.
Results: Master Thesis, Thesis Defence, and GitHub repository.
Bjoern Moelvig
Project part: RNN/GRU reconstruction, loss function exploration
Period: September 2019 - October 2020.
Results: Master Thesis, Thesis Defence, and GitHub repository.







Last updated 25th of September 2022.