HR: 1340h
AN: P33A-0229    [Abstracts]
TI: VEX Magnetometer: Application of Neural Networks to the Data Processing
AU: * Pope, S A
EM: s.pope@sheffield.ac.uk
AF: ACSE University of Sheffield, Mappin Street, Sheffield, S1 3JD United Kingdom
AU: Zhang, T L
EM: Tielong.zhang@0eaw.ac.at
AF: Space Research Institute, Austrian Academy of Sciences, Schmieldstrasse 6, Graz, 8042 Austria
AU: Kudela, K
EM: kkudela@kosice.upjs.sk
AF: IEP, Watson str 47, Kosice, 04353 Slovakia (Slovak Republic)
AU: walker, S N
EM: simon.walker@sheffield.ac.uk
AF: ACSE University of Sheffield, Mappin Street, Sheffield, S1 3JD United Kingdom
AU: Alleyne, H
EM: h.alleyne@sheffield.ac.uk
AF: ACSE University of Sheffield, Mappin Street, Sheffield, S1 3JD United Kingdom
AU: Balikhin, M A
EM: m.balikhin@sheffield.ac.uk
AF: ACSE University of Sheffield, Mappin Street, Sheffield, S1 3JD United Kingdom
AB: Planetary missions often involve spacecraft that are not magnetically clean. The Venus EXpress (VEX) mission, that is going to be launched in October 2005 is one such spacecraft. VEX will utilise two point magnetic field measurements to distinguish between natural and spacecraft contributions to the magnetic field measurements. It is shown how neural networks can be employed to determine the natural magnetic field using two sets of data measured at different distances from the spacecraft.
DE: 6030 Magnetic fields and magnetism
DE: 6099 General or miscellaneous
SC: Planetary Sciences [P]
MN: Fall Meeting 2005