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Magnetic Structures at the Boundary of the Closed Corona: A Semi-automated Study of S-Web Morphology (2019)
Journal Article
Scott, R. B., Pontin, D. I., & Wyper, P. F. (2019). Magnetic Structures at the Boundary of the Closed Corona: A Semi-automated Study of S-Web Morphology. Astrophysical Journal, 882(2), Article 125. https://doi.org/10.3847/1538-4357/ab364a

Interchange reconnection is thought to play an important role in driving the dynamics of the slow solar wind. To understand the details of this process, it is important to catalog the various magnetic structures that are present at the boundary betwe... Read More about Magnetic Structures at the Boundary of the Closed Corona: A Semi-automated Study of S-Web Morphology.

Speed and fluctuations for some driven dimer models (2019)
Journal Article
Chhita, S., Ferrari, P., & Toninelli, F. (2019). Speed and fluctuations for some driven dimer models. Annales de l’Institut Henri Poincaré D, 6(4), 489-532. https://doi.org/10.4171/aihpd/77

We consider driven dimer models on the square and honeycomb graphs, starting from a stationary Gibbs measure. Each model can be thought of as a two dimensional stochastic growth model of an interface, belonging to the anisotropic KPZ universality cla... Read More about Speed and fluctuations for some driven dimer models.

A trio of simple optimized axisymmetric kinematic dynamos in a sphere (2019)
Journal Article
Holdenried-Chernoff, D., Chen, L., & Jackson, A. (2019). A trio of simple optimized axisymmetric kinematic dynamos in a sphere. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2229), Article 20190308. https://doi.org/10.1098/rspa.2019.0308

Planetary magnetic fields are generated by the motion of conductive fluid in the planet's interior. Complex flows are not required for dynamo action; simple flows have been shown to act as efficient kinematic dynamos, whose physical characteristics a... Read More about A trio of simple optimized axisymmetric kinematic dynamos in a sphere.

A novel method for analysis of high dimensional data (2019)
Presentation / Conference Contribution
Drikvandi, R. (2019, December). A novel method for analysis of high dimensional data. Presented at The Royal Statistical Society International Conference 2019, Belfast, UK

Constrained Least-Squares Multiwell Deconvolution (2019)
Presentation / Conference Contribution
Cumming, J., Jaffrezic, V., Whittle, T., & Gringarten, A. (2019, August). Constrained Least-Squares Multiwell Deconvolution. Presented at SPE Western Regional Meeting, San Jose, California, USA

In this paper, we reduce non-uniqueness and ensure physically feasible results in multiwell deconvolution by incorporating constraints and knowledge to the methodology of Cumming et al. (2014). The constraints discourage non-physical shapes for the d... Read More about Constrained Least-Squares Multiwell Deconvolution.

A characterisation of the Gaussian free field (2019)
Journal Article
Berestycki, N., Powell, E., & Ray, G. (2020). A characterisation of the Gaussian free field. Probability Theory and Related Fields, 176(3-4), 1259-1301. https://doi.org/10.1007/s00440-019-00939-9

We prove that a random distribution in two dimensions which is conformally invariant and satisfies a natural domain Markov property is a multiple of the Gaussian free field. This result holds subject only to a fourth moment assumption.

Permutation and Bayesian tests for testing random effects in linear mixed-effects models (2019)
Journal Article
Rao, K., Drikvandi, R., & Saville, B. (2019). Permutation and Bayesian tests for testing random effects in linear mixed-effects models. Statistics in Medicine, 38(25), 5034-5047. https://doi.org/10.1002/sim.8350

In many applications of linear mixed‐effects models to longitudinal and multilevel data especially from medical studies, it is of interest to test for the need of random effects in the model. It is known that classical tests such as the likelihood ra... Read More about Permutation and Bayesian tests for testing random effects in linear mixed-effects models.

Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation (2019)
Presentation / Conference Contribution
Alamaniotis, M., & Karagiannis, G. (2019, December). Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation. Presented at 2019 IEEE Milan PowerTech

This paper presents an intelligent data driven method for forecasting minute ahead wind speed, which is essential in predicting the power output coming from wind generators. The proposed methodology, is based on the principle that “the most recent pa... Read More about Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation.