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M

M. Coleman Miller

Researcher at University of Maryland, College Park

Publications -  305
Citations -  14363

M. Coleman Miller is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Neutron star & Black hole. The author has an hindex of 68, co-authored 293 publications receiving 12880 citations. Previous affiliations of M. Coleman Miller include University of Copenhagen & Johns Hopkins University.

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Young clusters and massive black holes as the building blocks of ultra-compact dwarf galaxies

TL;DR: The origin and evolution of ultra-compact dwarf galaxies is a conundrum as mentioned in this paper, and the relevance of the massive black hole at the centre of the system is discussed in detail.
Journal ArticleDOI

Gravitational waves from eccentric intermediate-mass black hole binaries

TL;DR: In this paper, the authors present a study of the dynamical evolution of binary intermediate-mass black holes (IMBHs) using a combination of direct $N$-body techniques (when the binaries are well separated) and three-body relativistic scattering experiments.
Proceedings ArticleDOI

Compton Scattering Effects in the Spectra of Soft Gamma Repeaters

TL;DR: In this article, the spectral effects of strong-field modifications to Compton scattering, in particular those related to the contribution of vacuum polarization to the dielectric tensor, are investigated.
Posted Content

Models of Kilohertz Quasi-Periodic Brightness Oscillations

TL;DR: In this article, the authors describe the strengths and weaknesses of the models that have been proposed for the kilohertz quasi-periodic brightness oscillations (QPOs) observed in the accretion-powered emission from some sixteen neutron-star low-mass X-ray binary systems.

Challenges in the Measurement of Neutron Star Radii

TL;DR: The recent discovery of neutron stars near two solar masses has placed strong constraints on the properties of cold matter at a few times nuclear saturation density as mentioned in this paper, but current inferences are dominated by systematic errors.