Essays about: "Förutsägelser"

Showing result 1 - 5 of 31 essays containing the word Förutsägelser.

  1. 1. The two-Higgs-doublet modelas an explanation for the muon (g−2) discrepancy

    University essay from Lunds universitet/Teoretisk partikelfysik

    Author : Zenny Wettersten; [2020]
    Keywords : Beyond Standard Model; BSM; CP violation; Higgs Physics; two Higgs doublet model; 2hdm; Physics and Astronomy;

    Abstract : The general Z2-violating two-Higgs-doublet model (2HDM) is analysed as an explanation for the discrepancy between Standard Model predictions and experimental measurements of the muon anomalous magnetic dipole moment ∆aµ, with the condition that it does not provide an electron electric dipole moment |eEDM| larger than experimental bounds. Several point studies of individual 2HDM parameter space points are made to show large-scale cancellation among Barr-Zee 2-loop contributions to |eEDM| at large Yukawa lepton sector magnitudes, as well as an approximately linear growth of total aµ contribution when those magnitudes are rescaled by a common factor, reaching the same order as ∆aµ. READ MORE

  2. 2. Fitting the three loop pion mass and decay constant to lattice data

    University essay from Lunds universitet/Teoretisk partikelfysik

    Author : Alexandra Wernersson; [2019]
    Keywords : Chiral Perturbation Theory; Lattice QCD; pion mass; decay constant; three loop fit.; Physics and Astronomy;

    Abstract : We perform a fit to three loop order (NNNLO) in Chiral perturbation theory of the pion mass and decay constant. In particular we investigate if the NNNLO fit is an improvement of the fit to two loop order (NNLO) to lattice QCD data, which was done in a lattice gauge group collaboration. READ MORE

  3. 3. Attempts at using Bayesian neural networksfor uncertainty assessments of temperature forecasts

    University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionen

    Author : Joel Lundqvist; [2019]
    Keywords : Meteorology; Artificial neural networks; Bayesian neural networks; Forecast uncertainty; Physics and Astronomy;

    Abstract : This thesis describes attempts at estimating the uncertainty of the 2-metre temperature forecast error from a probabilistic point of view, utilizing Bayesian neural networks. Bayesian neural networks are a type of machine-learning algorithms used to find patterns in data and make probabilistic predictions. READ MORE

  4. 4. Flavour-ordering in the nonlinear sigma model with more derivatives and legs

    University essay from Lunds universitet/Teoretisk partikelfysik; Lunds universitet/Institutionen för astronomi och teoretisk fysik

    Author : Mattias Sjö; [2019]
    Keywords : Particle physics; effective field theory; QCD; mesons; amplitudes; Physics and Astronomy;

    Abstract : We present a generalisation of the flavour-ordering method applied to the chiral nonlinear sigma model with any number of flavours. We use an extended Lagrangian with terms containing any number of derivatives, organised in a power-counting hierarchy. READ MORE

  5. 5. Deep Distributional Temporal Difference Learning for Game Playing

    University essay from Lunds universitet/Matematisk statistik

    Author : Frej Berglind; [2019]
    Keywords : Reinforcement Learning; Deep Learning; Temporal Difference Learning; Distributional Learning; Game Playing; 5-in-a-row; Artificial Intelligence.; Mathematics and Statistics;

    Abstract : Temporal difference learning is considered one of the most successful methods in reinforcement learning. Recent developments in deep learning have opened up a new world of opportunities. READ MORE