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Dust trajectory sensor: Accuracy and data analysis
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View: Figures


Image of FIG. 1.
FIG. 1.

The schematic of the DTS. Each wire electrode is connected to a separate CSA. The entrance and exit grids are part of the shielding Faraday box around the array of electrodes.

Image of FIG. 2.
FIG. 2.

The COULOMB model of the DTS. There are four electrode planes with seven wires in each. The wires in planes 1 and 3 are along the y-axis and wires in planes 2 and 4 are along the x-axis. The origin of the coordinate system is placed at the center of the box. The kernel volume is shown in the middle and the dimensions are given in mm.

Image of FIG. 3.
FIG. 3.

The effect of the proximity of the wall on charge (Q 3, 5) induced on the closest wire that is located at x = 0 mm, y, z = −20 mm. The figure shows the induced charge as a function of the distance from the wall for a few different fixed x and z coordinates. The effect of the wall is the strongest, when the dust particle is in between two electrode planes (z = 0 mm). The bottom panel shows the induced charge relative to the undisturbed kernel results.

Image of FIG. 4.
FIG. 4.

The effect of the entrance grid and the shape of the correction function f (z p ). The figure shows the induced charge on the nearest electrode as a function of distance, with and without the wall effect included. The ratio of the two calculations defines the shape of the correction function f (z p ).

Image of FIG. 5.
FIG. 5.

Simulated induced charge signals from a dust particles with incidence angles θ x = −5.7° and θ y = 16.8°. The signals from the four closest wire electrodes in each plane are shown. The data are normalized to the dust charge, and the curves are staggered in the vertical direction for clarity. The vertical lines mark the positions of the four electrode planes.

Image of FIG. 6.
FIG. 6.

The effect of the limited size DTS model on the induced charge. The figure shows the induced charge on the closest electrode (Q 3, 5) as the particles moved between points (10, 10, −20) and (10, 10, 0). The model with 7 wire electrodes in each plane yields somewhat smaller induced charge signals. The bottom panel shows the ratio of the signals from the two models.

Image of FIG. 7.
FIG. 7.

The convergence of the χ2-minimum with increasing number of iteration steps. The different lines correspond to different data analysis runs. The simulated signal is for a 5.21 km/s velocity particle with added white noise (QNR = 10), see Sec. V for details. The dust particle moves from point (−5.5, −10, −100) to point (32, −10, 100), which corresponds to θ x = 10.62° and θ y = 0°.

Image of FIG. 8.
FIG. 8.

Uncertainty of the parameters determined from the analysis as a function of QNR. The two outliner points (diamond and cross) are discussed in details in the text.

Image of FIG. 9.
FIG. 9.

The schematics of the charge sensitive electronics (CSA) integrated into the laboratory version.

Image of FIG. 10.
FIG. 10.

An example of the DTS data and the best fit provided by the analysis (thick smooth lines). Signals from the eight electrodes closest to the path of the dust particle are shown. The calculated particle parameters are: Q = 15.77 fC, v = 4.57 km/s, θ x = 0.086°, and θ y = 0.98°. The curves are staggered in the vertical direction for clarity.

Image of FIG. 11.
FIG. 11.

Results of the analyses of the data for 0° and 10° incident angles. The panels show the (a) charge, (b) speed, (c) incident angle θ x , and (d) incident angle θ y . The shaded areas indicate +/−1° deviations from the mean value (outliner points excluded).


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Dust trajectory sensor: Accuracy and data analysis