1
Th e El ec tros tati c Lunar Du s t Analyz e r (ELDA): Data Analy s i s Jianfeng Xie, 1,2 Zoltan Sternovsky, 1,2,3 Eberhard Grün, 1 Siegfried Auer, 4 Mihaly Horanyi, 1,2 Nicole Duncan, 1,2 Huy Le, 1,2 Keith Drake 1,2 1 LASP, University of Colorado, Boulder, CO 2 Colorado Center for Lunar Dust and Atmospheric Studies, University of Colorado, Boulder, CO 3 Aerospace Engineering Sciences, University of Colorado, Boulder, CO 4 A&M Associates, P. O. Box 421, Basye, VA [email protected] P13D-1719 Dust Trajectory Sensor (DTS) A cc ura c y analy s i s Introduction Micron sized slow moving (1 100 m/s) particles on lunar surface (ejecta, electro statistic lofting dust) Detection methods utilizing momentum transfer or impact ionization are not applicable due to slow speed ELDA uses the charge on dust grains for detection Fig. 4. Left is the laboratory prototype of the DTS. The figure on the right illustrates the method of measurement. Analysis of Experimental Data of DTS Current Work Numerical model of the deflection field region (DFR) to calculate the E-field distribution Develop algorithm for trajectory-mass-fitting to find the mass of the particle in the conditions limited by the trajectory information provided by the two DTS Fig. 6. Experimental DTS data from a 3.5 km/s dust particle. The red curves are from the fitting procedure. Algorithm 1. The first estimate of the particle’s charge and trajectory is determined 2. Monte Carlo optimization process is used to find the best match between the measurements and data simulations. 3. Narrow the parameter range using the results from 2. 4. Repeat 2 and 3 until the desired agreement is obtained DTS Signal Simulation The DTS is a critical part of the ELDA instrument. DTS measures the velocity vector of the dust particle by detecting the dust charge on an array of wire electrodes. The wires are arranged in four planes with alternating wire and each electrode is connected to a separate charge sensitive amplifier (CSA). Fig. 5. The simplified model setup is a 160*160*200 mm box containing four wire planes with seven electrodes in each. The dust particle is simulated as a 5 micron sphere. The solutions to this simplified model can be extended for a larger instrument with more wire electrodes and planes. The simulated charge signals on each wire in the DTS are calculated electrostatically by using Coulomb software as a function of time as the particle is passing through. DTS DTS Fig. 1. The operation principle of ELDA: Two Dust Trajectory Sensors (DTS) measure the dust particle velocity vector before and after passing through an electrostatic deflection field region (DFR). The mass is derived from the deflection and charge . DTS DTS DFR Fig. 2. The complete version of ELDA in lab that measures the charge, velocity vector, and mass of individual dust grains. It has a size 450X450X600 mm 3 . Scientific Motivation ELDA Instrument Dust dropping Fig. 3. This figure shows the parameter range where the deflection is significant and measurable, i.e. between 0.1 and 100mm. For more details, see Ref. 2. Effect of Gravity Artificial signals at different dust charge to noise (QNR) levels are used to study the accuracy of the algorithm. (a) (b) (c) Fig. 7. Fig. 10. Uncertainty of the analysis at different SNR level. (a). Charge (b). Speed (c). Angle. The data analysis in previous part supposes that no acceleration, the dust particle passes through the DTS with constant speed and in straight line. The new algorithm considers the known gravity. Laboratory Testing 0.46 0.48 0.5 0.51 -0.05 0 0.05 0.1 0.15 0.2 T[second] Charge[e-13C] Fig. 8. A set of data of the second DTS recorded with the HV off. Q = 3.9e-12 C. Because of the gravity, the dust particle accelerated in the DTS. v in = 4.6m/s and v out =5.0 m/s. Acknowledgement: The authors acknowledge the support from NASA through the Planetary Instrument Definition and Development (PIDD) and NASA Lunar Science Institute (NLSI) programs. References: 1. N. Duncan et al, Planet. Space Sci. 59, 1446 (2011). 2. J. Xie et al, Rev. Sci. Instrum. 82, 105104 (2011). The experiment is done in a vacuum chamber. Charged dust particles are dropped from about 0.8 m into the instrument. See Fig. 2. Radius(mi c ron) 1000 100 1 Mass(kg) 9.8E-6 9.8E-9 9.8E-15 Table 1. Mass vs. size for sphere dust particle of SiO 2 .

1,2 1,2,3 1 Huy Le,lasp.colorado.edu/media/projects/ccldas/docs/posters/Xie_AGU_2011.pdfT h e E lectrostatic L u n a r D u st A n alyzer (E L D A ): D ata A n alysis Jianfeng Xie,

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Page 1: 1,2 1,2,3 1 Huy Le,lasp.colorado.edu/media/projects/ccldas/docs/posters/Xie_AGU_2011.pdfT h e E lectrostatic L u n a r D u st A n alyzer (E L D A ): D ata A n alysis Jianfeng Xie,

The E lectrostatic Lunar Dust Analyzer (E L D A): Data AnalysisJianfeng Xie,1,2 Zoltan Sternovsky,1,2,3 Eberhard Grün,1 Siegfried Auer,4 Mihaly Horanyi,1,2 Nicole Duncan,1,2 Huy Le,1,2 Keith Drake1,2

1 LASP, University of Colorado, Boulder, CO 2 Colorado Center for Lunar Dust and Atmospheric Studies, University of Colorado, Boulder, CO 3 Aerospace Engineering Sciences, University of Colorado, Boulder, CO 4 A&M Associates, P. O. Box 421, Basye, VA

[email protected] P13D-1719

Dust Trajectory Sensor (DTS) Accuracy analysisIntroduction

• Micron sized slow moving (1 – 100 m/s) particles on lunar surface (ejecta, electro statistic lofting dust)

• Detection methods utilizing momentum transfer or impact ionization are not applicable due to slow speed

• ELDA uses the charge on dust grains for detection

Fig. 4. Left is the laboratory prototype of the DTS. The figure on the right illustrates the method of measurement.

Analysis of Experimental Data of DTS

Current Work• Numerical model of the deflection field region (DFR) to

calculate the E-field distribution

• Develop algorithm for trajectory-mass-fitting to find the mass of the particle in the conditions limited by the trajectory information provided by the two DTS

Fig. 6. Experimental DTS data from a 3.5 km/s dust particle. The red curves are from the fitting procedure.

Algorithm

1. The first estimate of the particle’s charge and trajectory is determined

2. Monte Carlo optimization process is used to find the best match between the measurements and data simulations.

3. Narrow the parameter range using the results from 2.

4. Repeat 2 and 3 until the desired agreement is obtained

DTS Signal Simulation

The DTS is a critical part of the ELDA instrument. DTS measures the velocity vector of the dust particle by detecting the dust charge on an array of wire electrodes. The wires are arranged in four planes with alternating wire and each electrode is connected to a separate charge sensitive amplifier (CSA).

Fig. 5. The simplified model setup is a 160*160*200 mm box containing four wire planes with seven electrodes in each. The dust particle is simulated as a 5 micron sphere. The solutions to this simplified model can be extended for a larger instrument with more wire electrodes and planes.

The simulated charge signals on each wire in the DTS are calculated electrostatically by using Coulomb software as a function of time as the particle is passing through.

DTSDTSDTS

Fig. 1. The operation principle of ELDA: Two Dust Trajectory Sensors (DTS) measure the dust particle velocity vector before and after passing through an electrostatic deflection field region (DFR). The mass is derived from the deflection and charge.

DTS

DTS

DFR

Fig. 2. The complete version of ELDA in lab that measures the charge, velocity vector, and mass of individual dust grains. It has a size 450X450X600 mm3.

Scientific Motivation

ELDA Instrument

Dust dropping

Fig. 3. This figure shows the parameter range where the deflection is significant and measurable, i.e. between 0.1 and 100mm.

For more details, see Ref. 2.

Effect of Gravity

Artificial signals at different dust charge to noise (QNR) levels are used to study the accuracy of the algorithm.

(a) (b)

(c)

Fig. 7. Fig. 10. Uncertainty of the analysis at different SNR level. (a). Charge (b). Speed (c). Angle.

The data analysis in previous part supposes that no acceleration, the dust particle passes through the DTS with constant speed and in straight line. The new algorithm considers the known gravity.

Laboratory Testing

0.46 0.48 0.5 0.51-0.05

0

0.05

0.1

0.15

0.2

T[second]Ch

arge[e-13C

]Fig. 8. A set of data of the second DTS recorded with the HV off. Q = 3.9e-12 C. Because of the gravity, the dust particle accelerated in the DTS. vin = 4.6m/s and vout =5.0 m/s.

Acknowledgement: The authors acknowledge the support from NASA through the Planetary Instrument Definition and Development (PIDD) and NASA Lunar Science Institute (NLSI) programs.

References:1. N. Duncan et al, Planet. Space Sci. 59, 1446 (2011).2. J. Xie et al, Rev. Sci. Instrum. 82, 105104 (2011).

The experiment is done in a vacuum chamber. Charged dust particles are dropped from about 0.8 m into the instrument. See Fig. 2.

Radius(micron) 1000 100 1

Mass(kg) 9.8E-6 9.8E-9 9.8E-15Table 1. Mass vs. size for sphere dust particle of SiO2.