Outputs (224)

Relativistic Centrifugal Instability (2018)
Journal Article
Gourgouliatos, K. N., & Komissarov, S. S. (2018). Relativistic Centrifugal Instability. Monthly Notices of the Royal Astronomical Society: Letters, 475(1), L125-L129. https://doi.org/10.1093/mnrasl/sly016

Near the central engine, many astrophysical jets are expected to rotate about their axis. Further out they are expected to go through the processes of reconfinement and recollimation. In both these cases, the flow streams along a concave surface and... Read More about Relativistic Centrifugal Instability.

Smooth and topological almost concordance (2018)
Journal Article
Nagel, M., Orson, P., Park, J., & Powell, M. (2019). Smooth and topological almost concordance. International Mathematics Research Notices, 2019(23), 7324-7355. https://doi.org/10.1093/imrn/rnx338

We investigate the disparity between smooth and topological almost concordance of knots in general 3-manifolds Y. Almost concordance is defined by considering knots in Y modulo concordance in Y × [0, 1] and the action of the concordance group of knot... Read More about Smooth and topological almost concordance.

Tridispersive thermal convection (2018)
Journal Article
Gentile, M., & Straughan, B. (2018). Tridispersive thermal convection. Nonlinear Analysis: Real World Applications, 42, 378-386. https://doi.org/10.1016/j.nonrwa.2018.01.009

We derive the linear instability and nonlinear stability thresholds for a problem of thermal convection in a tridispersive porous medium with a single temperature. Importantly we demonstrate that the nonlinear stability threshold is the same as the l... Read More about Tridispersive thermal convection.

Approximate Bayesian Computation and simulation-based inference for complex stochastic epidemic models (2018)
Journal Article
McKinley, T., Vernon, I., Andrianakis, I., McCreesh, N., Oakley, J., Nsubuga, R., …White, R. (2018). Approximate Bayesian Computation and simulation-based inference for complex stochastic epidemic models. Statistical Science, 33(1), 4-18. https://doi.org/10.1214/17-sts618

Approximate Bayesian Computation (ABC) and other simulation-based inference methods are becoming increasingly used for inference in complex systems, due to their relative ease-of-implementation. We briefly review some of the more popular variants of... Read More about Approximate Bayesian Computation and simulation-based inference for complex stochastic epidemic models.

M-theory beyond the supergravity approximation (2018)
Journal Article
Heslop, P., & Lipstein, A. E. (2018). M-theory beyond the supergravity approximation. Journal of High Energy Physics, 2018(2), Article 4. https://doi.org/10.1007/jhep02%282018%29004

We analyze the four-point function of stress-tensor multiplets for the 6d quantum field theory with OSp(8∗|4) symmetry which is conjectured to be dual to M-theory on AdS7 × S4, and deduce the leading correction to the tree-level supergravity predicti... Read More about M-theory beyond the supergravity approximation.

Mean residual life of coherent systems consisting of multiple types of dependent components (2018)
Journal Article
Eryilmaz, S., Coolen, F., & Coolen-Maturi, T. (2018). Mean residual life of coherent systems consisting of multiple types of dependent components. Naval Research Logistics, 65(1), 86-97. https://doi.org/10.1002/nav.21782

Mean residual life is a useful dynamic characteristic to study reliability of a system. It has been widely considered in the literature not only for single unit systems but also for coherent systems. This article is concerned with the study of mean r... Read More about Mean residual life of coherent systems consisting of multiple types of dependent components.

Sobolev regularity for first order mean field games (2018)
Journal Article
Jameson Graber, P., & Mészáros, A. R. (2018). Sobolev regularity for first order mean field games. Annales de l'Institut Henri Poincaré C, 35(6), 1557-1576. https://doi.org/10.1016/j.anihpc.2018.01.002

In this paper we obtain Sobolev estimates for weak solutions of first order variational Mean Field Game systems with coupling terms that are local functions of the density variable. Under some coercivity conditions on the coupling, we obtain first or... Read More about Sobolev regularity for first order mean field games.

Generalized global symmetries and holography (2018)
Journal Article
Hofman, D., & Iqbal, N. (2018). Generalized global symmetries and holography. SciPost Physics, 4(1), Article 005. https://doi.org/10.21468/scipostphys.4.1.005

We study the holographic duals of four-dimensional field theories with 1-form global symmetries, both discrete and continuous. Such higher-form global symmetries are associated with antisymmetric tensor gauge fields in the bulk. Various different rea... Read More about Generalized global symmetries and holography.

The optimal kinematic dynamo driven by steady flows in a sphere (2018)
Journal Article
Chen, L., Herreman, W., Li, K., Livermore, P., Luo, J., & Jackson, A. (2018). The optimal kinematic dynamo driven by steady flows in a sphere. Journal of Fluid Mechanics, 839, 1-32. https://doi.org/10.1017/jfm.2017.924

We present a variational optimization method that can identify the most efficient kinematic dynamo in a sphere, where efficiency is based on the value of a magnetic Reynolds number that uses enstrophy to characterize the inductive effects of the flui... Read More about The optimal kinematic dynamo driven by steady flows in a sphere.

The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment (2018)
Journal Article
Benford, D., Halldorsson, T., Jeger, M. J., Knutsen, H. K., More, S., Naegeli, H., …Hardy, A. (2018). The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment. EFSA Journal, 16(1), Article e05122. https://doi.org/10.2903/j.efsa.2018.5122

To meet the general requirement for transparency in EFSA's work, all its scientific assessments must consider uncertainty. Assessments must say clearly and unambiguously what sources of uncertainty have been identified and what is their impact on the... Read More about The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment.