Gravity field of the Saturnian system from Pioneer and Voyager tracking data

1989 ◽  
Vol 97 ◽  
pp. 1485 ◽  
Author(s):  
J. K. Campell ◽  
J. D. Anderson
Keyword(s):  
Gravity Field ◽  
Tracking Data ◽  
Saturnian System

The Gravity Field of the Saturnian System from Satellite Observations and Spacecraft Tracking Data

2006 ◽  
Vol 132 (6) ◽  
pp. 2520-2526 ◽  
Author(s):  
R. A. Jacobson ◽  
P. G. Antreasian ◽  
J. J. Bordi ◽  
K. E. Criddle ◽  
R. Ionasescu ◽  
...  
Keyword(s):  
Gravity Field ◽  
Satellite Observations ◽  
Tracking Data ◽  
Saturnian System ◽  
Spacecraft Tracking

Recoverability of Callisto gravity field influenced by orbiter mission characteristics

2021 ◽  
Author(s):  
William Desprats ◽  
Daniel Arnold ◽  
Michel Blanc ◽  
Adrian Jäggi ◽  
Mingtao Li ◽  
...  
Keyword(s):  
Gravity Field ◽  
Noise Model ◽  
Force Model ◽  
Tracking Data ◽  
Science Center ◽  
National Space ◽  
Beta Angle ◽  
Dynamical Parameters ◽  
Range Rate ◽  
Orbiter Mission

<p>The exploration of Callisto is part of the extensive interest in the icy moons characterization. Indeed, Callisto is the Galilean moon with the best-preserved records of the Jovian system formation. Led by the National Space Science Center (NSSC), Chinese Academy of Science (CAS), the planned Gan De mission aims to send an orbiter around Callisto in order to characterize its surface and interior. Potential orbit configurations are currently under study for the Gan De mission proposal.</p><p>As part of a global characterization of Callisto, its gravity field can be inferred using radio tracking data from an orbiter. Mission characteristics such as orbit type, Earth beta angle and solar elongation will have a direct influence on the recoverability of its gravity field parameters. In this study, we will analyse this influence from closed-loop simulations using the planetary extension of the Bernese GNSS Softwareai.</p><p>A number of reference orbits with different orbital characteristics will be selected for the Gan De mission and, using an extended force model, will be propagated from different starting dates and different initial Earth beta angles. Realistic Doppler tracking data (2-way X-band Doppler range rate) will be simulated as measurements from ground stations, with a dedicated noise model. These observations will then be used to reconstruct the orbit along with dynamical parameters. The focus of this presentation will be on the quality of the retrieved gravity field parameters and tidal Love number k2.</p>

Earth's Gravity Field Derived from Grace Satellite Tracking Data

2006 ◽  
Vol 49 (3) ◽  
pp. 651-656 ◽  
Author(s):  
Xu-Hua ZHOU ◽  
Houtse HSU ◽  
Bin WU ◽  
Bi-Bo PENG ◽  
Yang LU
Keyword(s):  
Gravity Field ◽  
Satellite Tracking ◽  
Tracking Data ◽  
Earth’S Gravity Field ◽  
Grace Satellite

Processing of GRACE FO satellite to satellite tracking data using the GRACE SIGMA software

2020 ◽  
Author(s):  
Mathias Duwe ◽  
Igor Koch ◽  
Jakob Flury ◽  
Akbar Shabanloui
Keyword(s):  
Gravity Field ◽  
Satellite Tracking ◽  
Background Modeling ◽  
Gravity Potential ◽  
Laser Ranging ◽  
Tracking Data ◽  
Variational Equations ◽  
Range Rate ◽  
Orbit Types ◽  
Computing Approach

<p>At our Institute we compute monthly gravity potential solutions from GRACE/GRACE-FO level 1B data by using the variational equations approach. The gravity field is recovered with our own MATLAB software "GRACE-SIGMA" that was recently updated in order to reduce the calculation time with parallel computing approach by approx. 80%. Also the processing chain has changed to update the background modeling and we made tests with different orbit types and different parametrizations. We discuss progress to include laser ranging interferometer data in gravity field solutions. We present validation results and analyze the properties of postfit range-rate residuals.</p>

Gravity field of Mars from Mariner 9 tracking data

Icarus ◽  
1973 ◽  
Vol 18 (2) ◽  
pp. 304-316 ◽  
Author(s):  
Jack Lorell ◽  
George H. Born ◽  
Edward J. Christensen ◽  
Pasquale B. Esposito ◽  
J. Frank Jordan ◽  
...  
Keyword(s):  
Gravity Field ◽  
Tracking Data ◽  
Mariner 9

scholarly journals A degree-100 lunar gravity model from the Chang’e 5T1 mission

2020 ◽  
Vol 636 ◽  
pp. A45
Author(s):  
Jianguo Yan ◽  
Shanhong Liu ◽  
Chi Xiao ◽  
Mao Ye ◽  
Jianfeng Cao ◽  
...  
Keyword(s):  
Gravity Field ◽  
Field Model ◽  
Tracking Data ◽  
Lunar Gravity ◽  
Love Number ◽  
Orbital Inclination ◽  
Gravity Field Model ◽  
New Model ◽  
Lunar Gravity Field ◽  
Formal Error

Context. Chinese lunar missions have grown in number over the last ten years, with an increasing focus on radio science investigations. In previous work, we estimated two lunar gravity field models, CEGM01 and CEGM02. The recently lunar mission, Chang’e 5T1, which had an orbital inclination between 18 and 68 degrees, and collected orbital tracking data continually for two years, made an improved gravity field model possible. Aims. Our aim was to estimate a new lunar gravity field model up to degree and order 100, CEGM03, and a new tidal Love number based on the Chang’e 5T1 tracking data combined with the historical tracking data used in the solution of CEGM02. The new model makes use of tracking data with this particular inclination, which has not been used in previous gravity field modeling. Methods. The solution for this new model was based on our in-house software, LUGREAS. The gravity spectrum power, post-fit residuals after precision orbit determination (POD), lunar surface gravity anomalies, correlations between parameters, admittance and coherence with topography model, and accuracy of POD were analyzed to validate the new CEGM03 model. Results. We analyzed the tracking data of the Chang’e 5T1 mission and estimated the CEGM03 lunar gravity field model. We found that the two-way Doppler measurement accuracy reached 0.2 mm s−1 with 10 s integration time. The error spectrum shows that the formal error for CEGM03 was at least reduced by about 2 times below the harmonic degree of 20, when compared to the CEGM02 model. The admittance and correlation of gravity and topography was also improved when compared to the correlations for the CEGM02 model. The lunar potential Love number k2 was estimated to be 0.02430±0.0001 (ten times the formal error). Conclusions. From the model analysis and comparison of the various models, we identified improvements in the CEGM03 model after introducing Chang’e 5T1 tracking data. Moreover, this study illustrates how the low and middle inclination orbits could contribute better accuracy for a low degree of lunar gravity field.

Updated Europa gravity field and interior structure from a reanalysis of Galileo tracking data

Icarus ◽  
2020 ◽  
pp. 114187
Author(s):  
Luis Gomez Casajus ◽  
Marco Zannoni ◽  
Dario Modenini ◽  
Paolo Tortora ◽  
Francis Nimmo ◽  
...  
Keyword(s):  
Gravity Field ◽  
Interior Structure ◽  
Tracking Data

Gravity Field of Jupiter from Pioneer 11 Tracking Data

Science ◽  
1975 ◽  
Vol 188 (4187) ◽  
pp. 476-477 ◽  
Author(s):  
G. W. Null ◽  
J. D. Anderson ◽  
S. K. Wong
Keyword(s):  
Gravity Field ◽  
Tracking Data
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