Abstract
A new global control point network was derived for Enceladus, based on Cassini and Voyager-2 image data. Cassini images were taken from 2005 to 2014, for Voyager we have only one flyby in the middle of 1981. We have derived 3D Cartesian coordinates for 1128 control points as well as improved pointing data for 12 Voyager and 193 Cassini images in the Enceladus-fixed coordinate system. The point accuracies vary from 55 m to 2900 m (average point accuracy – 221 m). From tracking of the control points we detect a librational motion described by a model which includes 3 different periods and amplitudes (Rambaux et al., 2011). We determine the amplitudes for each term. Our new control point network has a higher number of point measurements and a higher accuracy than previous data (Giese et al., 2014).
Highlights
Enceladus, a satellite of Saturn, is covered with ice and reflects almost all incoming sunlight
Following the technique implemented for Ganymede image processing (Zubarev et al, 2015) based on special developed iterative method (Zubarev et al, 2016a) we computed a global 3D control point network (CPN) for Enceladus and solved for a rotation model, including rotation axis orientation and libration
The control points are rather evenly distributed over the surface of Enceladus (Fig. 3)
Summary
A satellite of Saturn, is covered with ice and reflects almost all incoming sunlight. The establishment of control point networks is essential for the production of maps, accurately positioned in the body-fixed reference frame. Such accurate maps, in turn, are essential for spacecraft navigation or operation of onboard instruments, e.g., if a camera is to be pointed at a specific target of interest. Dense clouds of 3D control point networks are an essential framework for shape studies. Another important application of control point analysis is the tracking of the points over time, from which unknown rotational parameters of the planetary body (e.g., rotational axis orientation or librational motion) may be determined. The renovated network was used to recalculate the fundamental parameters of the Saturn satellite: Enceladus shape model and the forced libration
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