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19992022
most citedThunderstorm nowcasting with deep learning: a multi-hazard data fusion model

51 citations · 339 across the 18 of their papers we have counts for

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12 papers · 1 filter

astro-ph2008★ 10 cited

Quantifying Chaos in Models of the Solar Neighbourhood

Dalia Chakrabarty, Ioannis V. Sideris

{} {To quantify the amount of chaos that exists in the local phase space.} {A sample of orbits from four different models of the Solar neighbourhood phase space are analysed by a n…

astro-ph2007★ 4 cited

Influence of Orbital Behaviour and Chaos on the Shape of Dark Matter Halos

Andrea V. Maccio', Ioannis Sideris, Marco Miranda +2

It has been shown that the dissipative gas infall during galaxy formation has the capability to modify the shape of dark matter halos. In this paper we perform the first detailed a…

astro-ph2003★ 10 cited

Noise-Enhanced Parametric Resonance in Perturbed Galaxies

Ioannis V. Sideris, Henry E. Kandrup

This paper describes how parametric resonances associated with a galactic potential subjected to relatively low amplitude, strictly periodic time-dependent perturbations can be imp…

astro-ph2003★ 23 cited

Supermassive Black Hole Binaries as Galactic Blenders

Henry E. Kandrup, Ioannis V. Sideris, Balsa Terzic +1

This paper focuses on the dynamical implications of close supermassive black hole binaries both as an example of resonant phase mixing and as a potential explanation of inversions…

astro-ph2002★ 42 cited

Transient chaos and resonant phase mixing in violent relaxation

Henry E. Kandrup, Ileana M. Vass, Ioannis V. Sideris

This paper explores how orbits in a galactic potential can be impacted by large amplitude time-dependences of the form that one might associate with galaxy or halo formation or str…

astro-ph2002★ 24 cited

Smooth potential chaos and N-body simulations

Henry E. Kandrup, Ioannis V. Sideris

Integrations in fixed N-body realisations of smooth density distributions corresponding to a chaotic galactic potential can be used to derive reliable estimates of the largest (fin…