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You searched for +publisher:"Rochester Institute of Technology" +contributor:("Manuela Campanelli"). Showing records 1 – 7 of 7 total matches.

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Rochester Institute of Technology

1. Ireland, Brennan M. Binary Black Holes in the Inspiral Regime: The Effect of Spins and Eccentricity on Spacetime Dynamics and Gravitational Radiation.

Degree: PhD, School of Physics and Astronomy (COS), 2018, Rochester Institute of Technology

  Observations of black hole binaries via the emission of gravitational waves are one of the most exciting discoveries in physics in the past 50… (more)

Subjects/Keywords: Analytic relativity; Binary black holes; Black holes; General relativity; Gravitational waves

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APA (6th Edition):

Ireland, B. M. (2018). Binary Black Holes in the Inspiral Regime: The Effect of Spins and Eccentricity on Spacetime Dynamics and Gravitational Radiation. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9886

Chicago Manual of Style (16th Edition):

Ireland, Brennan M. “Binary Black Holes in the Inspiral Regime: The Effect of Spins and Eccentricity on Spacetime Dynamics and Gravitational Radiation.” 2018. Doctoral Dissertation, Rochester Institute of Technology. Accessed June 17, 2019. https://scholarworks.rit.edu/theses/9886.

MLA Handbook (7th Edition):

Ireland, Brennan M. “Binary Black Holes in the Inspiral Regime: The Effect of Spins and Eccentricity on Spacetime Dynamics and Gravitational Radiation.” 2018. Web. 17 Jun 2019.

Vancouver:

Ireland BM. Binary Black Holes in the Inspiral Regime: The Effect of Spins and Eccentricity on Spacetime Dynamics and Gravitational Radiation. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2018. [cited 2019 Jun 17]. Available from: https://scholarworks.rit.edu/theses/9886.

Council of Science Editors:

Ireland BM. Binary Black Holes in the Inspiral Regime: The Effect of Spins and Eccentricity on Spacetime Dynamics and Gravitational Radiation. [Doctoral Dissertation]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9886


Rochester Institute of Technology

2. Jaramillo, Gabriela. Apparent Horizons of N Black Holes and Black Hole Rings.

Degree: School of Mathematical Sciences (COS), 2009, Rochester Institute of Technology

  We first study systems of N Schwarzschild black holes in a time-symmetric spacelike hypersurface with axial symmetry. Apparent horizons are found by numerically solving… (more)

Subjects/Keywords: Apparent horizons

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APA (6th Edition):

Jaramillo, G. (2009). Apparent Horizons of N Black Holes and Black Hole Rings. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9088

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):

Jaramillo, Gabriela. “Apparent Horizons of N Black Holes and Black Hole Rings.” 2009. Thesis, Rochester Institute of Technology. Accessed June 17, 2019. https://scholarworks.rit.edu/theses/9088.

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

MLA Handbook (7th Edition):

Jaramillo, Gabriela. “Apparent Horizons of N Black Holes and Black Hole Rings.” 2009. Web. 17 Jun 2019.

Vancouver:

Jaramillo G. Apparent Horizons of N Black Holes and Black Hole Rings. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2019 Jun 17]. Available from: https://scholarworks.rit.edu/theses/9088.

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

Council of Science Editors:

Jaramillo G. Apparent Horizons of N Black Holes and Black Hole Rings. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/9088

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


Rochester Institute of Technology

3. Katuwal, Gajendra Jung. Machine Learning Based Autism Detection Using Brain Imaging.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2017, Rochester Institute of Technology

  Autism Spectrum Disorder (ASD) is a group of heterogeneous developmental disabilities that manifest in early childhood. Currently, ASD is primarily diagnosed by assessing the… (more)

Subjects/Keywords: Autism; Brain disorder; Classification; Machine learning; MRI; Neuroimaging

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APA (6th Edition):

Katuwal, G. J. (2017). Machine Learning Based Autism Detection Using Brain Imaging. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9422

Chicago Manual of Style (16th Edition):

Katuwal, Gajendra Jung. “Machine Learning Based Autism Detection Using Brain Imaging.” 2017. Doctoral Dissertation, Rochester Institute of Technology. Accessed June 17, 2019. https://scholarworks.rit.edu/theses/9422.

MLA Handbook (7th Edition):

Katuwal, Gajendra Jung. “Machine Learning Based Autism Detection Using Brain Imaging.” 2017. Web. 17 Jun 2019.

Vancouver:

Katuwal GJ. Machine Learning Based Autism Detection Using Brain Imaging. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2017. [cited 2019 Jun 17]. Available from: https://scholarworks.rit.edu/theses/9422.

Council of Science Editors:

Katuwal GJ. Machine Learning Based Autism Detection Using Brain Imaging. [Doctoral Dissertation]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9422


Rochester Institute of Technology

4. Bowen, Dennis B. General Relativistic Gas Dynamics in the Central Cavity of Binary Black Holes.

Degree: PhD, School of Physics and Astronomy (COS), 2017, Rochester Institute of Technology

  Supermassive binary black holes (SMBBHs) represent an excellent candidate for future combined gravitational wave and electromagnetic astrophysics, commonly referred to as multimessenger astrophysics. While… (more)

Subjects/Keywords: Accretion; Accretion disks; Binary black hole; Black hole physics; General relativity; Magnetohydrodynamics

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APA (6th Edition):

Bowen, D. B. (2017). General Relativistic Gas Dynamics in the Central Cavity of Binary Black Holes. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9604

Chicago Manual of Style (16th Edition):

Bowen, Dennis B. “General Relativistic Gas Dynamics in the Central Cavity of Binary Black Holes.” 2017. Doctoral Dissertation, Rochester Institute of Technology. Accessed June 17, 2019. https://scholarworks.rit.edu/theses/9604.

MLA Handbook (7th Edition):

Bowen, Dennis B. “General Relativistic Gas Dynamics in the Central Cavity of Binary Black Holes.” 2017. Web. 17 Jun 2019.

Vancouver:

Bowen DB. General Relativistic Gas Dynamics in the Central Cavity of Binary Black Holes. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2017. [cited 2019 Jun 17]. Available from: https://scholarworks.rit.edu/theses/9604.

Council of Science Editors:

Bowen DB. General Relativistic Gas Dynamics in the Central Cavity of Binary Black Holes. [Doctoral Dissertation]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9604


Rochester Institute of Technology

5. Zhang, Chao. Functional Imaging Connectome of the Human Brain and its Associations with Biological and Behavioral Characteristics.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2018, Rochester Institute of Technology

  Functional connectome of the human brain explores the temporal associations of different brain regions. Functional connectivity (FC) measures derived from resting state functional magnetic… (more)

Subjects/Keywords: Data mining; Functional magnetic resonance imaging; Machine learning application; Statistical analysis

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APA (6th Edition):

Zhang, C. (2018). Functional Imaging Connectome of the Human Brain and its Associations with Biological and Behavioral Characteristics. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9851

Chicago Manual of Style (16th Edition):

Zhang, Chao. “Functional Imaging Connectome of the Human Brain and its Associations with Biological and Behavioral Characteristics.” 2018. Doctoral Dissertation, Rochester Institute of Technology. Accessed June 17, 2019. https://scholarworks.rit.edu/theses/9851.

MLA Handbook (7th Edition):

Zhang, Chao. “Functional Imaging Connectome of the Human Brain and its Associations with Biological and Behavioral Characteristics.” 2018. Web. 17 Jun 2019.

Vancouver:

Zhang C. Functional Imaging Connectome of the Human Brain and its Associations with Biological and Behavioral Characteristics. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2018. [cited 2019 Jun 17]. Available from: https://scholarworks.rit.edu/theses/9851.

Council of Science Editors:

Zhang C. Functional Imaging Connectome of the Human Brain and its Associations with Biological and Behavioral Characteristics. [Doctoral Dissertation]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9851

6. Ruchlin, Ian. Puncture Initial Data and Evolution of Black Hole Binaries with High Speed and High Spin.

Degree: PhD, School of Physics and Astronomy (COS), 2015, Rochester Institute of Technology

  This dissertation explores numerical models of the orbit, inspiral, and merger phases of black hole binaries. We focus on the astrophysically realistic case of… (more)

Subjects/Keywords: Black hole; Evolution; General relativity; Initial data; Numerical relativity; Spin

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

APA (6th Edition):

Ruchlin, I. (2015). Puncture Initial Data and Evolution of Black Hole Binaries with High Speed and High Spin. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8797

Chicago Manual of Style (16th Edition):

Ruchlin, Ian. “Puncture Initial Data and Evolution of Black Hole Binaries with High Speed and High Spin.” 2015. Doctoral Dissertation, Rochester Institute of Technology. Accessed June 17, 2019. https://scholarworks.rit.edu/theses/8797.

MLA Handbook (7th Edition):

Ruchlin, Ian. “Puncture Initial Data and Evolution of Black Hole Binaries with High Speed and High Spin.” 2015. Web. 17 Jun 2019.

Vancouver:

Ruchlin I. Puncture Initial Data and Evolution of Black Hole Binaries with High Speed and High Spin. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2015. [cited 2019 Jun 17]. Available from: https://scholarworks.rit.edu/theses/8797.

Council of Science Editors:

Ruchlin I. Puncture Initial Data and Evolution of Black Hole Binaries with High Speed and High Spin. [Doctoral Dissertation]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8797


Rochester Institute of Technology

7. Silberman, Zachary J. Novel Methods to Determine and Use the Magnetic Vector Potential in Numerical General Relativistic Magnetohydrodynamics.

Degree: PhD, School of Physics and Astronomy (COS), 2018, Rochester Institute of Technology

  Many codes have been developed to study highly relativistic, magnetized flows around and inside compact objects. Depending on the adopted formalisms, some of these… (more)

Subjects/Keywords: Inverse curl; Magnetic heilcity; Magnetohydrodynamics; Numerical relativity; Vector potential

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APA (6th Edition):

Silberman, Z. J. (2018). Novel Methods to Determine and Use the Magnetic Vector Potential in Numerical General Relativistic Magnetohydrodynamics. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9878

Chicago Manual of Style (16th Edition):

Silberman, Zachary J. “Novel Methods to Determine and Use the Magnetic Vector Potential in Numerical General Relativistic Magnetohydrodynamics.” 2018. Doctoral Dissertation, Rochester Institute of Technology. Accessed June 17, 2019. https://scholarworks.rit.edu/theses/9878.

MLA Handbook (7th Edition):

Silberman, Zachary J. “Novel Methods to Determine and Use the Magnetic Vector Potential in Numerical General Relativistic Magnetohydrodynamics.” 2018. Web. 17 Jun 2019.

Vancouver:

Silberman ZJ. Novel Methods to Determine and Use the Magnetic Vector Potential in Numerical General Relativistic Magnetohydrodynamics. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2018. [cited 2019 Jun 17]. Available from: https://scholarworks.rit.edu/theses/9878.

Council of Science Editors:

Silberman ZJ. Novel Methods to Determine and Use the Magnetic Vector Potential in Numerical General Relativistic Magnetohydrodynamics. [Doctoral Dissertation]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9878

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