papers

Publications (6)

stat.AP2024

Detecting Filamentarity in Climate and Galactic Spatial Point Processes

Aida Gjoka, Robin Henderson, Paul Oman

Evidence of excess filamentarity is considered for two spatial point process applications: local minima in whole earth precipitation modelling and locations of cold clumps in the M…

physics.data-an2018

Topological data analysis and diagnostics of compressible MHD turbulence

Irina Makarenko, Paul Bushby, Andrew Fletcher +3

The predictions of mean-field electrodynamics can now be probed using direct numerical simulations of random flows and magnetic fields. When modelling astrophysical MHD, it is impo…

stat.AP2017

Statistical Topology and the Random Interstellar Medium

Robin Henderson, Irina Makarenko, Paul Bushby +2

Current astrophysical models of the interstellar medium assume that small scale variation and noise can be modelled as Gaussian random fields or simple transformations thereof, suc…

stat.ME2023

Handling Overlapping Asymmetric Datasets -- A Twice Penalized P-Spline Approach

Matthew McTeer, Robin Henderson, Quentin M Anstee +1

Overlapping asymmetric datasets are common in data science and pose questions of how they can be incorporated together into a predictive analysis. In healthcare datasets there is o…

math.ST2020

Event History and Topological Data Analysis

Kathryn Garside, Aida Gjoka, Robin Henderson +2

Persistent homology is used to track the appearance and disappearance of features as we move through a nested sequence of topological spaces. Equating the nested sequence to a filt…

astro-ph.GA2017

Topological signatures of interstellar magnetic fields - I. Betti numbers and persistence diagrams

Irina Makarenko, Anvar Shukurov, Robin Henderson +3

The interstellar medium (ISM) is a magnetised system in which transonic or supersonic turbulence is driven by supernova explosions. This leads to the production of intermittent, fi…