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Yosef Zlochower

Researcher at Rochester Institute of Technology

Publications -  142
Citations -  19295

Yosef Zlochower is an academic researcher from Rochester Institute of Technology. The author has contributed to research in topics: Black hole & Binary black hole. The author has an hindex of 53, co-authored 137 publications receiving 14923 citations. Previous affiliations of Yosef Zlochower include University of Pittsburgh & University of Texas at Brownsville.

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Circumbinary MHD Accretion into Inspiraling Binary Black Holes

TL;DR: In this paper, the authors have simulated the MHD evolution of a circumbinary disk surrounding an equal-mass non-spinning binary and showed that the structure of the disk is predicted well by extrapolation from Newtonian results.
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Accurate black hole evolutions by fourth-order numerical relativity

TL;DR: This work presents techniques for successfully performing numerical relativity simulations of binary black holes with fourth-order accuracy, and applies this approach to binary black hole head-on collisions, calculating the waveforms of gravitational radiation generated and demonstrating significant improvements in waveform accuracy over second-order methods with typically achievable numerical resolution.
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Gravitational recoil from accretion-aligned black-hole binaries

TL;DR: In this article, the authors explore the newly discovered ''hangup-kick'' effect, which greatly amplifies the recoil for configurations with partial spin/orbital angular momentum alignment, by studying a set of 48 new simulations of equal-mass, spinning black-hole binaries.
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Spin Flips and Precession in Black-Hole-Binary Mergers

TL;DR: In this paper, the authors used the moving puncture approach to perform fully non-linear evolutions of spinning quasicircular black-hole binaries with individual spins unaligned with the orbital angular momentum.
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Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project

Benjamin Aylott, +81 more
TL;DR: The Numerical InJection Analysis (NINJA) project as mentioned in this paper is a collaborative effort between members of the numerical relativity and gravitational-wave data analysis communities to study the sensitivity of existing search algorithms using numerically generated waveforms.