Possible IceCube Theses

Contact

Name

Christopher Wiebusch

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work
+49 241 80 27300

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Detector development

  • Development and commissioning of imaging air-Cherenkov Telescopes (IceAct) for the measurement of air showers at the surface

  • Calibration of optical sensors for the IceCube Upgrade

  • Development of acoustic modules for improving IceCube’s calibration

Analysis and methods

  • Development and testing of new analysis techniques, improved reconstruction algorithms, and machine-learning methods for improved measurement of high-energy astrophysical and atmospheric neutrinos.South Pole data analysis and test studies for improved cosmic ray measurements with IceAct

  • Analysis of IceCube data

  • Method development for the acoustic calibration of IceCube

Other topics by arrangement

  • Literature research

  • Simulation studies

  • Computing Methoden

  • Theoretical work

  • etc ...

Examples of possible Bachelor's theses in 2022 are (detector development (D), analysis (A), Monte-Carlo (M), computing (C), theory (T)):

  1. IceAct: Testing and commissioning of IceAct telescopes, camera calibration (D)

  2. IceAct: Analysis of 2020 data from the South Pole: data/simulation comparison and time stability, weather data (A/D)

  3. IceAct: Analysis of air-shower images with machine learning methods (A/C)

  4. IceCube: Improvement and validation of simulation methods for magnetic monopoles in IceCube. (M/C)

  5. IceCube-Gen2: PMT test measurements and analysis for the IceCube Upgrade (D/A)

  6. IceCube: Testing improvements of new mashine learning methods and observables for measurements of astrophysical neutrinos (A/M/C)

  7. IceCube: Visualization and Analysis of Feature Importance for Deep Learning Reconstruction Methods (C/M)

  8. IceCube: Testing the robustness of deep learning reconstruction methods against adversarial attacks (C/M)

  9. IceCube-Gen2: Firmware development for the Acoustic Module (D/C)

  10. IceCube-Gen2: Swimming pool tests of the performance of the acoustic calibration modules(D/A)

  11. IceCube-Gen2: Accuracy estimation of geometry calibration by acoustic modules. (M/A)

  12. IceCube: Validation of the reconstruction accuracy via measurement of the shadow of the Moon in cosmic rays (M/A).

Examples of possible Master's theses in 2022 (detector development (D), analysis (A), Monte-Carlo (M), computing (C), theory (T))

  1. IceAct: Analysis of the South Pole data: Coincidences with IceCube and IceTop and Stereo observations (A/M/C)

  2. IceAct: Event-reconstruction with Machine Learning (A/M/C)

  3. IceAct: Studies of cosmic ray composition sensitivity with IceAct (A/M/C)IceCube-Gen2: Simulationsstudie für das Leistungsvermögen von IceAct-Gen2 (M/A)

  4. IceCube-Gen2: PMT characterization for the IceCube Upgrade (D/A)

  5. IceCube-Gen2: Development and test of the Acoustic Module for the IceCube Upgrade (D)

  6. IceCube: Geometry calibration using trilateration with a global likelihood method (D/M/C)

  7. IceCube: Understanding hidden and correlated uncertainties and Deep Learning Methods in IceCube in the context of adversarial attacks (M/C/A)

  8. IceCube: Analysis of the pointing accuracy of highest energy cosmic neutrinos with Deep-Learning methods (M/C/A)

  9. IceCube: Search for magnetic monopoles in IceCube (A/M/C)

  10. IceCube: Application of Recurrent Neural Networks for Analysing time series data in IceCube and application to magnetic monopole searches (M/C)

  11. IceCube: Measurement of variations of atmospheric neutrinos caused by temperature variations in the Earth atmosphere (A/M)

  12. IceCube: Observation of the shadow of the moon in Cosmic Rays. Calibration of the geometry and angular resolution (A/M/C)

  13. IceCube: Validation and optimization of Machine Learning methods for the data selection of astrophysical neutrinos(A/M/C)

Examples of successfuly completed theses from previous years can be found here.