Blar i Bergen Open Research Archive på forfatter "Strümke, Inga"
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Parameter Scans and Machine Learning for beyond Standard Model Physics
Strümke, Inga (Doctoral thesis, 2019-05-02)This thesis focuses on different beyond Standard Model theories, and the use of statistical methods to investigate them. Supersymmetry is considered in different contexts. First, the supersymmetry breaking scheme of gaugino ... -
Signal mixture estimation for degenerate heavy Higgses using a deep neural network
Kvellestad, Anders; Mæland, Steffen; Strümke, Inga (Peer reviewed; Journal article, 2018-12)If a new signal is established in future LHC data, a next question will be to determine the signal composition, in particular whether the signal is due to multiple near-degenerate states. We investigate the performance of ... -
The social dilemma in artificial intelligence development and why we have to solve it
Strümke, Inga; Slavkovik, Marija; Madai, Vince Istvan (Journal article; Peer reviewed, 2021)While the demand for ethical artificial intelligence (AI) systems increases, the number of unethical uses of AI accelerates, even though there is no shortage of ethical guidelines. We argue that a possible underlying cause ... -
Trilinear-augmented gaugino mediation
Heisig, Jan; Kersten, Jörn Andreas; Murphy, Nick; Strümke, Inga (Peer reviewed; Journal article, 2017-05-02)We consider a gaugino-mediated supersymmetry breaking scenario where in addition to the gauginos the Higgs fields couple directly to the field that breaks supersymmetry. This yields non-vanishing trilinear scalar couplings ...