Detecting Filamentarity in Climate and Galactic Spatial Point Processes

Fuente: arXiv
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Autores principales: Gjoka, Aida, Henderson, Robin, Oman, Paul
Formato: Preprint
Publicado: 2024
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author Gjoka, Aida
Henderson, Robin
Oman, Paul
author_facet Gjoka, Aida
Henderson, Robin
Oman, Paul
contents 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 Milky Way. A diagnostic test using the number of aligned triads and tetrads is developed. A Poisson filament process is proposed based on a parent Poisson process with correlated random walk offspring locations. Filaments are initially identified using an arc search method, with ABC for subsequent inference. Simulations indicate good performance. In both applications there is strong evidence of filamentarity. The method successfully identifies two outlying precipitation data sets.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06923
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Detecting Filamentarity in Climate and Galactic Spatial Point Processes
Gjoka, Aida
Henderson, Robin
Oman, Paul
Applications
62P12
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 Milky Way. A diagnostic test using the number of aligned triads and tetrads is developed. A Poisson filament process is proposed based on a parent Poisson process with correlated random walk offspring locations. Filaments are initially identified using an arc search method, with ABC for subsequent inference. Simulations indicate good performance. In both applications there is strong evidence of filamentarity. The method successfully identifies two outlying precipitation data sets.
title Detecting Filamentarity in Climate and Galactic Spatial Point Processes
topic Applications
62P12
url https://arxiv.org/abs/2411.06923