J
Justin I. Read
Researcher at University of Surrey
Publications - 164
Citations - 15158
Justin I. Read is an academic researcher from University of Surrey. The author has contributed to research in topics: Galaxy & Dark matter. The author has an hindex of 56, co-authored 164 publications receiving 13448 citations. Previous affiliations of Justin I. Read include University of Leicester & University of Zurich.
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The influence of Massive Black Hole Binaries on the Morphology of Merger Remnants
TL;DR: In this paper, the authors carried out a suite of N-body simulations of equal-mass galaxy collisions, varying the initial orbits and density profiles for the merging galaxies and running simulations both with and without central MBHs.
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To β or not to β : can higher-order Jeans analysis break the mass–anisotropy degeneracy in simulated dwarfs?
Anna Genina,Justin I. Read,Carlos S. Frenk,Shaun Cole,Alejandro Benítez-Llambay,Aaron D. Ludlow,Julio F. Navarro,Kyle A. Oman,Andrew Robertson +8 more
TL;DR: In this article, a non-parametric higher-order Jeans analysis method, GRAVSPHERE, was used to investigate cusps and cores in density distributions of 32 simulated dwarf galaxies comparable to classical Local Group dwarfs.
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Two strong-lensing clusters confront universal dark-matter profiles
TL;DR: In this paper, the projected mass distribution in the inner regions of the galaxy clusters SSDS J1004+411 and ACO 1689 has been used to obtain a universal inner profile for dark matter structures.
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Measuring dark matter substructure with galaxy–galaxy flexion statistics
TL;DR: In this paper, a method to constrain substructure properties using the variance of weak gravitational flexion in a galaxy-galaxy lensing context is proposed, which is a statistical method, requiring many foreground-background pairs of galaxies.
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Novel Adaptive softening for collisionless N-body simulations: eliminating spurious haloes
TL;DR: In this paper, a NOVel form of adaptive softening (NovA) is proposed for collisionless $N$-body simulations, implemented in the Ramses adaptive mesh refinement code.