Teoretisk partikkelfysikk

Relativistisk Kvantemekanikk og Feltteori (PHYS203)

Kvantefeltteori og Standardmodellen (PHYS342)

Vitenskapelig artikkel

• Torsten Bringmann; Håvard Tveit Ihle; Jörn Andreas Kersten et al. (2016). Suppressing structure formation at dwarf galaxy scales and below: Late kinetic decoupling as a compelling alternative to warm dark matter. (ekstern lenke)
• Jan Heisig; Jörn Kersten; Nick Murphy et al. (2017). Gaugino mediation with large trilinears. (ekstern lenke)
• Giulia Ricciardi; Alexandre Arbey; Enrico Bertuzzo et al. (2015). Flavour, electroweak symmetry breaking and dark matter: state of the art and future prospects. (ekstern lenke)
• Daniel Alvestad; Nikolai Fomin; Jörn Kersten et al. (2023). Beyond cuts in small signal scenarios: Enhanced sneutrino detectability using machine learning. (ekstern lenke)
• Torsten Bringmann; Paul Frederik Depta; Marco Hufnagel et al. (2023). Minimal sterile neutrino dark matter. (ekstern lenke)
• Jan Heisig; Jörn Andreas Kersten; Nick Murphy et al. (2017). Trilinear-augmented gaugino mediation. (ekstern lenke)
• Jörn Andreas Kersten; Alexei Yu. Smirnov (2016). Decoherence and oscillations of supernova neutrinos. (ekstern lenke)
• Jörn Andreas Kersten; Jae-hyeon Park; Dominik Stöckinger et al. (2014). Understanding the correlation between (g − 2) μ and μ → eγ in the MSSM. (ekstern lenke)
• Tony Gherghetta; Jörn Kersten; Keith A. Olive et al. (2019). Evaluating the price of tiny kinetic mixing. (ekstern lenke)
• Jörn Kersten (2019). Small-Scale Crisis in Cosmology – Sterile Neutrinos to the Rescue?. (ekstern lenke)
• S. Baek; Jörn Kersten; P. Ko et al. (2024). An unfamiliar way to generate the hierarchy of standard model fermion masses. (ekstern lenke)
• Jörn Kersten; Jan Heisig; Nick Murphy et al. (2018). Gaugino Mediation with Large Trilinears. (ekstern lenke)

Kapittel i fagbok

• Jörn Kersten (2018). SUSY Phenomenology - From the Early Universe to the LHC Era. (ekstern lenke)

Doktorgradsavhandling

• Inga Strümke; Jörn Kersten (2019). Parameter Scans and Machine Learning for beyond Standard Model Physics. (ekstern lenke)

Masteroppgave

• Johannes Fiedler; Bodil Holst; Eivind Kristen Osestad et al. (2022). Modeling a gas sensor based on quantum vacuum fluctuations. (ekstern lenke)

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