Abstract
We present a visualization and analysis of a supercomputer simulation displaying the apparent horizons' curvature and radiation emitted from a binary black hole system modeling the LIGO observed signal GW150914. The simulation follows the system from seven orbits prior to merger down to the resultant final Kerr black hole. Apparent horizons are calculated during the simulation with mean curvature data displayed on them. Radiation data was visualized via the real part of the $\Psi_4$ component of the Weyl scalars, which were determined using a numerical quasi-Kinnersley method. We also present a comparative study of the differences in using the quasi-Kinnersley and PsiKadelia tetrads to construct $\Psi_4$ and the benefits, particularly in the strong field region of a binary black hole system, of using a tetrad in a transverse ($\Psi_1=\Psi_3=0$) frame. The second part of our studies focus on the relationship between the mean curvature displayed on the apparent horizons and the trajectories of the black holes. We notice that prior to merger, for each black hole, the directionality of the mean curvature tracks that of the trajectory with either a positive or negative phase shift between the two curves. Finally, we provide a brief analysis suggesting that the phase shift and the frame dragging effects are likely related.
Library of Congress Subject Headings
Black holes (Astronomy)--Computer simulation; Double stars--Computer simulation; Gravitational waves--Mathematical models
Publication Date
9-29-2017
Document Type
Thesis
Student Type
Graduate
Degree Name
Applied and Computational Mathematics (MS)
Department, Program, or Center
School of Mathematical Sciences (COS)
Advisor
Carlos Lousto
Advisor/Committee Member
Yosef Zlochower
Advisor/Committee Member
Elizabeth Cherry
Recommended Citation
Rosato, Nicole, "Visualization and Analysis of a Numerical Simulation of GW150914" (2017). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/9609
Campus
RIT – Main Campus
Plan Codes
ACMTH-MS