Outputs (209)

Self-dual sectors for scalar field theories in (1 + 1) dimensions (2019)
Journal Article
Ferreira, L., Klimas, P., & Zakrzewski, W. J. (2019). Self-dual sectors for scalar field theories in (1 + 1) dimensions. Journal of High Energy Physics, 2019(1), Article 20. https://doi.org/10.1007/jhep01%282019%29020

We use ideas of generalized self-duality conditions to construct real scalar field theories in (1 + 1)-dimensions with exact self dual sectors. The approach is based on a pre-potential U that defines the topological charge and the potential energy of... Read More about Self-dual sectors for scalar field theories in (1 + 1) dimensions.

PT Symmetry: In Quantum and Classical Physics (2019)
Book
Bender, C. M., Dorey, P. E., Dunning, C., Fring, A., Hook, D. W., Jones, H. F., Kuzhel, S., Lévai, G., & Tateo, R. (2019). PT Symmetry: In Quantum and Classical Physics. https://doi.org/10.1142/q0178

Modular graph functions and asymptotic expansions of Poincare' series (2019)
Journal Article
Dorigoni, D., & Kleinschmidt, A. (2019). Modular graph functions and asymptotic expansions of Poincare' series. Communications in Number Theory and Physics, 13(3), 569-617

In this note we study SL(2,Z)-invariant functions such as modular graph functions or coefficient functions of higher derivative corrections in type IIB string theory. The functions solve inhomogeneous Laplace equations and we choose to represent them... Read More about Modular graph functions and asymptotic expansions of Poincare' series.

Applying prospect theory to multi-attribute problems with independence assumptions (2019)
Journal Article
Stanley, J., & Coolen, F. (2019). Applying prospect theory to multi-attribute problems with independence assumptions. Involve, 12(4), 687-711. https://doi.org/10.2140/involve.2019.12.687

We discuss a descriptive theory of decision making which has received much attention in recent decades: prospect theory. We specifically focus on applying the theory to problems with two attributes, assisted by different independence assumptions. We... Read More about Applying prospect theory to multi-attribute problems with independence assumptions.

Observational signatures of magnetic field structure in relativistic AGN jets (2019)
Journal Article
Prior, C., & Gourgouliatos, K. (2019). Observational signatures of magnetic field structure in relativistic AGN jets. Astronomy & Astrophysics, 622, Article A122. https://doi.org/10.1051/0004-6361/201834469

Context. Active galactic nuclei (AGN) launch highly energetic jets sometimes outshining their host galaxy. These jets are collimated outflows that have been accelerated near a supermassive black hole located at the centre of the galaxy. Their, virtua... Read More about Observational signatures of magnetic field structure in relativistic AGN jets.

Bases for cluster algebras from orbifolds with one marked point (2019)
Journal Article
Canakci, I., & Tumarkin, P. (2019). Bases for cluster algebras from orbifolds with one marked point. Algebraic combinatorics, 2(3), 355-365. https://doi.org/10.5802/alco.48

We generalize the construction of the bangle, band and bracelet bases for cluster algebras from unpunctured orbifolds to the case where there is only one marked point on the boundary.

Known Boundary Emulation of Complex Computer Models (2019)
Journal Article
Vernon, I., Jackson, S., & Cumming, J. (2019). Known Boundary Emulation of Complex Computer Models. SIAM/ASA Journal on Uncertainty Quantification, 7(3), 838-876. https://doi.org/10.1137/18m1164457

Computer models are now widely used across a range of scientific disciplines to describe various complex physical systems, however to perform full uncertainty quantification we often need to employ emulators. An emulator is a fast statistical constru... Read More about Known Boundary Emulation of Complex Computer Models.

Two-State Imprecise Markov Chains for Statistical Modelling of Two-State Non-Markovian Processes (2019)
Presentation / Conference Contribution
Troffaes, M. C., Krak, T., & Bains, H. (2019, December). Two-State Imprecise Markov Chains for Statistical Modelling of Two-State Non-Markovian Processes. Presented at ISIPTA'19, Ghent

This paper proposes a method for fitting a two-state imprecise Markov chain to time series data from a twostate non-Markovian process. Such non-Markovian processes are common in practical applications. We focus on how to fit modelling parameters base... Read More about Two-State Imprecise Markov Chains for Statistical Modelling of Two-State Non-Markovian Processes.

Systematic uncertainty reduction for petroleum reservoirs combining reservoir simulation and Bayesian emulation techniques (2019)
Presentation / Conference Contribution
Nandi Formentin, H., Vernon, I., Avansi, G. D., Caiado, C., Maschio, C., Goldstein, M., & Schiozer, D. J. (2019, June). Systematic uncertainty reduction for petroleum reservoirs combining reservoir simulation and Bayesian emulation techniques. Presented at SPE Europec featured at 81st EAGE Annual Conference 2019, London

Reservoir simulation models incorporate physical laws and reservoir characteristics. They represent our understanding of sub-surface structures based on the available information. Emulators are statistical representations of simulation models, offeri... Read More about Systematic uncertainty reduction for petroleum reservoirs combining reservoir simulation and Bayesian emulation techniques.