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Tim Dietrich

Researcher at VU University Amsterdam

Publications -  6
Citations -  353

Tim Dietrich is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Neutron star & Numerical relativity. The author has an hindex of 5, co-authored 6 publications receiving 246 citations.

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Multimessenger Bayesian parameter inference of a binary neutron star merger

TL;DR: In this article, a Bayesian parameter estimation combining information from GW170817, AT2017gfo, GRB1708 17, and GRB 170817A is presented.
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Axion star collisions with black holes and neutron stars in full 3D numerical relativity

TL;DR: In this paper, the authors studied head-on collisions of relativistic axion stars (ASs) with black holes (BHs) and neutron stars (NSs), and found that the largest scalar clouds are produced by mergers of low compactness ASs and spinning BHs.
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Waveform systematics for binary neutron star gravitational wave signals: Effects of the point-particle baseline and tidal descriptions

TL;DR: In this paper, the authors study potential systematic biases during the extraction of parameters from non-spinning sources using different descriptions for both, the point-particle dynamics and tidal effects, and find that for the considered cases the mass and spin recovery show almost no systematic bias with respect to the chosen waveform model.
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Full 3D Numerical Relativity Simulations of Neutron Star -- Boson Star Collisions with BAM

TL;DR: In this article, the authors extend the infrastructure of the numerical relativity code BAM, to permit the simultaneous simulation of baryonic matter with bosonic scalar fields, thus enabling the study of BS-BS, BS-NS, and BS-BH mergers.
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Full 3D numerical relativity simulations of neutron star–boson star collisions with BAM

TL;DR: In this article, the authors extend the infrastructure of the numerical relativity code BAM to permit the simultaneous simulation of baryonic matter with bosonic scalar fields, thus enabling the study of BS-BS, BS-NS, and BS-BH mergers.