Meegyeong Paik
California Institute of Technology
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Featured researches published by Meegyeong Paik.
Geophysical Research Letters | 2014
Alex S. Konopliv; Ryan S. Park; Dah-Ning Yuan; Sami W. Asmar; Michael M. Watkins; James G. Williams; Eugene Fahnestock; Gerhard Kruizinga; Meegyeong Paik; Dmitry Strekalov; Nate Harvey; David E. Smith; Maria T. Zuber
The resolution and accuracy of the lunar spherical harmonic gravity field have been dramatically improved as a result of the Gravity Recovery and Interior Laboratory (GRAIL) mission. From the Primary Mission, previous harmonic gravity fields resulted in an average n = 420 surface resolution and a Bouguer spectrum to n = 330. The GRAIL Extended Mission improves the resolution due to a lower average 23 km altitude orbit. As a result, new harmonic degree 900 gravity fields (GL0900C and GL0900D) show nearly a factor of 2 improvement with an average surface resolution n = 870 and the Bouguer spectrum extended to n = 550. Since the minimum spacecraft altitude varies spatially between 3 km and 23 km, the surface resolution is variable from near n = 680 for the central farside to near n = 900 for the polar regions. These gravity fields with 0.8 million parameters are by far the highest-degree fields of any planet ever estimated with a fully dynamic least squares technique using spacecraft tracking data.
Proceedings of the IEEE | 2011
Meegyeong Paik; Sami W. Asmar
In the postprocessing of open-loop radio science receiver (RSR) data, the frequency of a received signal is reconstructed and its amplitude estimated. Three types of algorithms can be used for the signal detection: a digital phase lock loop (PLL), fast Fourier transform (FFT) alone, or FTT with an optimization. One optimization, referred to as spectral analysis, is compared with the PLL and FFT detection methods especially for the case of signal with high-frequency dynamics. The reconstruction procedure is an important first step of processing radio science experimental data since its accuracy influences the resulting science observations. The comparisons deduce that the spectral analysis is superior for the cases of high dynamics signals.
ieee aerospace conference | 2014
Kamal Oudrhiri; Sami W. Asmar; Stephan Esterhuizen; Charles Goodhart; Nate Harvey; Daniel S. Kahan; Gerhard Kruizinga; Meegyeong Paik; Dong Shin; Leslie White
The Gravity Recovery and Interior Laboratory (GRAIL), a NASA Discovery mission, twin spacecraft were launched on 10 September 2012 and were inserted into lunar orbit on 31 December 2011 and 01 January 2012. The objective of the mission was to measure a high-resolution lunar gravity field using inter-spacecraft range measurements in order to investigate the interior structure of the Moon from crust to core. The first step in the lunar gravity field determination process involved correcting for general relativity, measurement noise, biases and relative & absolute timing. Three independent clocks participated in the process and needed to be correlated after the fact. Measuring the absolute time tags for the GRAIL mission data turned out to be a challenging task primarily because of limited periods when such measurements could be conducted. Unlike the Gravity Recovery and Climate Experiment (GRACE), where absolute timing measurements are available using the GPS system, no absolute timing measurements were available on the far side of the Moon or when there were no DSN coverage periods. During the early cruise phase, it was determined that a direct absolute timing measurement of each spacecraft Lunar Gravity Ranging System (LGRS) clock could be directly observed by using a DSN station to eavesdrop on the Time Transfer System (TTS) S-band inter-satellite ranging signal. By detecting the TTS system directly on earth, the LGRS clock can be correlated directly to Universal Time Coordinated (UTC) because the TTS and LGRS use the same clock to time-tag their measurements. This paper describes the end-to-end preparation process by building and installing a dedicated hardware at Goldstone station DSS-24, selecting favorable lunar orbit geometries, real time signal detection and post processing, and finally how the absolute timing is used in the overall construction of lunar gravity fields.
Journal of Geophysical Research | 2013
Alex S. Konopliv; Ryan S. Park; Dah-Ning Yuan; Sami W. Asmar; Michael M. Watkins; James G. Williams; Eugene Fahnestock; Gerhard Kruizinga; Meegyeong Paik; Dmitry Strekalov; Nate Harvey; David E. Smith; Maria T. Zuber
Icarus | 2014
David P. Hinson; Sami W. Asmar; Daniel S. Kahan; Varoujan Akopian; Robert M. Haberle; Aymeric Spiga; John T. Schofield; Armin Kleinböhl; Wedad A. Abdou; Stephen R. Lewis; Meegyeong Paik; Sami G. Maalouf
Archive | 2013
Gerhard Kruizinga; Sami W. Asmar; Eugene Fahnestock; Nate Harvey; Daniel S. Kahan; Alex S. Konopliv; Kamal Oudrhiri; Meegyeong Paik; Ryan Park; Dmitry Strekalov; Michael M. Watkins; Dah-Ning Yuan
Archive | 2013
Eugene Fahnestock; Sami W. Asmar; Daniel S. Kahan; Alex S. Konopliv; Gerhard Kruizinga; Kamal Oudrhiri; Meegyeong Paik; Ryan Park; Dmitry Strekalov; Dah-Ning Yuan
Archive | 2014
Dmitry Strekalov; Gerhard Kruizinga; Meegyeong Paik; Dah-Ning Yuan; Sami W. Asmar
Springer Netherlands | 2013
Gerhard Kruizinga; Meegyeong Paik; Dah-Ning Yuan; Eugene Fahnestock; Dmitry Strekalov; Nate Harvey; Wenwen Lu; Daniel S. Kahan; Kamal Oudrhiri; David Eugene Smith; Maria T. Zuber; Sami W. Asmar; Alexander S. Konopliv; Michael M. Watkins; James G. Williams; Ryan S. Park
Archive | 2012
Dmitry Strekalov; Gerhard Kruizinga; Meegyeong Paik; Dah-Ning Yuan; Sami W. Asmar