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You searched for +publisher:"Rochester Institute of Technology" +contributor:("Harkin, Anthony"). Showing records 1 – 2 of 2 total matches.

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Rochester Institute of Technology

1. Battista, Nicholas. Spectrally accurate initial data in numerical relativity.

Degree: School of Mathematical Sciences (COS), 2010, Rochester Institute of Technology

Einstein's theory of general relativity has radically altered the way in which we perceive the universe. His breakthrough was to realize that the fabric of space is deformable in the presence of mass, and that space and time are linked into a continuum. Much evidence has been gathered in support of general relativity over the decades. Some of the indirect evidence for GR includes the phenomenon of gravitational lensing, the anomalous perihelion of mercury, and the gravitational redshift. One of the most striking predictions of GR, that has not yet been confirmed, is the existence of gravitational waves. The primary source of gravitational waves in the universe is thought to be produced during the merger of binary black hole systems, or by binary neutron stars. The starting point for computer simulations of black hole mergers requires highly accurate initial data for the space-time metric and for the curvature. The equations describing the initial space-time around the black hole(s) are non-linear, elliptic partial differential equations (PDE). We will discuss how to use a pseudo-spectral (collocation) method to calculate the initial puncture data corresponding to single black hole and binary black hole systems. Advisors/Committee Members: Harkin, Anthony.

Subjects/Keywords: Applied mathematics; Astrophysics; Black holes; Numerical relativity; Partial differential equations; Spectral methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Battista, N. (2010). Spectrally accurate initial data in numerical relativity. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/4977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Battista, Nicholas. “Spectrally accurate initial data in numerical relativity.” 2010. Thesis, Rochester Institute of Technology. Accessed July 07, 2020. https://scholarworks.rit.edu/theses/4977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Battista, Nicholas. “Spectrally accurate initial data in numerical relativity.” 2010. Web. 07 Jul 2020.

Vancouver:

Battista N. Spectrally accurate initial data in numerical relativity. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Jul 07]. Available from: https://scholarworks.rit.edu/theses/4977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Battista N. Spectrally accurate initial data in numerical relativity. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/4977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

2. Cyran, Marek. Event-driven molecular dynamics simulations of protein mixtures.

Degree: School of Mathematical Sciences (COS), 2010, Rochester Institute of Technology

The structure of liquids is central to their thermodynamic properties and is described in a probabilistic manner. The structure is a consequence of the forces between the molecules and may be investigated with the use of many techniques. One of these techniques is the use of computer simulation, and in particular the techniques are called Monte Carlo Statistical Thermodynamic simulation, and Molecular Dynamics. In this thesis we construct a program that is capable of carrying out Event-Driven Molecular Dynamics simulation of mixtures of particles that have stepwise constant pair potential energies. We have implemented our simulation for the case of square-well particles that have a hard impenetrable core surrounded by a attractive potential well. Such mixtures are important for understanding the behavior of biological macromolecules at the high concentrations that occur in living cells. To test our implementation we have compared the resulting pair correlation functions with those that result from Monte Carlo simulations. While these pair correlation functions are in rather close agreement there remain discrepancies that remain to be resolved. Advisors/Committee Members: Harkin, Anthony.

Subjects/Keywords: Molecular dynamics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cyran, M. (2010). Event-driven molecular dynamics simulations of protein mixtures. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/4978

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cyran, Marek. “Event-driven molecular dynamics simulations of protein mixtures.” 2010. Thesis, Rochester Institute of Technology. Accessed July 07, 2020. https://scholarworks.rit.edu/theses/4978.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cyran, Marek. “Event-driven molecular dynamics simulations of protein mixtures.” 2010. Web. 07 Jul 2020.

Vancouver:

Cyran M. Event-driven molecular dynamics simulations of protein mixtures. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Jul 07]. Available from: https://scholarworks.rit.edu/theses/4978.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cyran M. Event-driven molecular dynamics simulations of protein mixtures. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/4978

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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