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You searched for `+publisher:"Penn State University" +contributor:("David Bradley Spencer, Thesis Advisor/Co-Advisor")`

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Penn State University

1. Kuppa, Koundinya. Long-term Orbit Propagation Using Symplectic Integration Algorithms.

Degree: 2016, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/29463

► Understanding the evolution of satellite orbits in the long-term is of great importance in astrodynamics. In order to achieve this, accurate propagation of the orbital…
(more)

Subjects/Keywords: astrodynamics; orbital mechanics; symplectic integration; numerical integration; orbit propagation; spaceflight mechanics

Record Details Similar Records

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

APA (6^{th} Edition):

Kuppa, K. (2016). Long-term Orbit Propagation Using Symplectic Integration Algorithms. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/29463

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kuppa, Koundinya. “Long-term Orbit Propagation Using Symplectic Integration Algorithms.” 2016. Thesis, Penn State University. Accessed October 31, 2020. https://submit-etda.libraries.psu.edu/catalog/29463.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kuppa, Koundinya. “Long-term Orbit Propagation Using Symplectic Integration Algorithms.” 2016. Web. 31 Oct 2020.

Vancouver:

Kuppa K. Long-term Orbit Propagation Using Symplectic Integration Algorithms. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 31]. Available from: https://submit-etda.libraries.psu.edu/catalog/29463.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kuppa K. Long-term Orbit Propagation Using Symplectic Integration Algorithms. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/29463

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

2. Hassa, Christopher Louis. Drag Coefficient Estimation using Satellite Attitude and Orbit Data.

Degree: 2013, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/19949

► The coefficient of drag for spacecraft in a variety of orbits and solar cycle conditions is generally assumed to be a constant value of 2.2.…
(more)

Subjects/Keywords: Swift; coefficient of drag; spacecraft drag coefficient

Record Details Similar Records

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

APA (6^{th} Edition):

Hassa, C. L. (2013). Drag Coefficient Estimation using Satellite Attitude and Orbit Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19949

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Hassa, Christopher Louis. “Drag Coefficient Estimation using Satellite Attitude and Orbit Data.” 2013. Thesis, Penn State University. Accessed October 31, 2020. https://submit-etda.libraries.psu.edu/catalog/19949.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hassa, Christopher Louis. “Drag Coefficient Estimation using Satellite Attitude and Orbit Data.” 2013. Web. 31 Oct 2020.

Vancouver:

Hassa CL. Drag Coefficient Estimation using Satellite Attitude and Orbit Data. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Oct 31]. Available from: https://submit-etda.libraries.psu.edu/catalog/19949.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hassa CL. Drag Coefficient Estimation using Satellite Attitude and Orbit Data. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/19949

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

3. Polito, Christopher. The Effect of Variable Initial Uncertainty on the Probability of Asteroid-Earth Collisions .

Degree: 2011, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/11681

► An alternative to the conventional method for determining impact probability by an asteroid is presented that utilizes the positional uncertainty ellipsoid. This method is used…
(more)

Subjects/Keywords: position uncertainty ellipsoid; NEO Collision Probability

Record Details Similar Records

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

APA (6^{th} Edition):

Polito, C. (2011). The Effect of Variable Initial Uncertainty on the Probability of Asteroid-Earth Collisions . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11681

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Polito, Christopher. “The Effect of Variable Initial Uncertainty on the Probability of Asteroid-Earth Collisions .” 2011. Thesis, Penn State University. Accessed October 31, 2020. https://submit-etda.libraries.psu.edu/catalog/11681.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Polito, Christopher. “The Effect of Variable Initial Uncertainty on the Probability of Asteroid-Earth Collisions .” 2011. Web. 31 Oct 2020.

Vancouver:

Polito C. The Effect of Variable Initial Uncertainty on the Probability of Asteroid-Earth Collisions . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Oct 31]. Available from: https://submit-etda.libraries.psu.edu/catalog/11681.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Polito C. The Effect of Variable Initial Uncertainty on the Probability of Asteroid-Earth Collisions . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11681

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

4. Patel, Khushboo. OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16526kbp5087

► This *thesis* presents a trajectory optimization problem for a lunar lander using Lambert’s solution with a Particle Swarm Optimization method. The goal of this *thesis*…
(more)

Subjects/Keywords: Multiple precision landings; Optimal trajectories

Record Details Similar Records

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

APA (6^{th} Edition):

Patel, K. (2019). OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16526kbp5087

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Patel, Khushboo. “OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION.” 2019. Thesis, Penn State University. Accessed October 31, 2020. https://submit-etda.libraries.psu.edu/catalog/16526kbp5087.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Patel, Khushboo. “OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION.” 2019. Web. 31 Oct 2020.

Vancouver:

Patel K. OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 31]. Available from: https://submit-etda.libraries.psu.edu/catalog/16526kbp5087.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patel K. OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16526kbp5087

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

5. Kim, Jung Soo. BRIDGING METHOD FOR THE JB2006 AND NRLMSISE-00 THERMOSPHERIC DENSITY MODELS IN THE ALTITUDE RANGE OF 140 KM THROUGH 200 KM .

Degree: 2008, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/8462

► Density data in the altitude range between 140 km and 200 km are sparse. Thus, it is impossible to draw all-encompassing conclusions as to the…
(more)

Subjects/Keywords: JB2006; NRLMSISE-00; THERMOSPHERIC DENSITY

Record Details Similar Records

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

APA (6^{th} Edition):

Kim, J. S. (2008). BRIDGING METHOD FOR THE JB2006 AND NRLMSISE-00 THERMOSPHERIC DENSITY MODELS IN THE ALTITUDE RANGE OF 140 KM THROUGH 200 KM . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8462

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kim, Jung Soo. “BRIDGING METHOD FOR THE JB2006 AND NRLMSISE-00 THERMOSPHERIC DENSITY MODELS IN THE ALTITUDE RANGE OF 140 KM THROUGH 200 KM .” 2008. Thesis, Penn State University. Accessed October 31, 2020. https://submit-etda.libraries.psu.edu/catalog/8462.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kim, Jung Soo. “BRIDGING METHOD FOR THE JB2006 AND NRLMSISE-00 THERMOSPHERIC DENSITY MODELS IN THE ALTITUDE RANGE OF 140 KM THROUGH 200 KM .” 2008. Web. 31 Oct 2020.

Vancouver:

Kim JS. BRIDGING METHOD FOR THE JB2006 AND NRLMSISE-00 THERMOSPHERIC DENSITY MODELS IN THE ALTITUDE RANGE OF 140 KM THROUGH 200 KM . [Internet] [Thesis]. Penn State University; 2008. [cited 2020 Oct 31]. Available from: https://submit-etda.libraries.psu.edu/catalog/8462.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim JS. BRIDGING METHOD FOR THE JB2006 AND NRLMSISE-00 THERMOSPHERIC DENSITY MODELS IN THE ALTITUDE RANGE OF 140 KM THROUGH 200 KM . [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8462

Not specified: Masters Thesis or Doctoral Dissertation