Hurley, Jane and Murdoch, Naomi and Teanby, N. A. and Bowles, N. and Warren, T. and Calcutt, S. B. and Mimoun, David
and Pike, W. T.
Isolation of Seismic Signal from InSight/SEIS-SP Microseismometer Measurements.
(2018)
Space Science Reviews, 214 (5). 1-22. ISSN 0038-6308
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 5MB |
Official URL: https://doi.org/10.1007/s11214-018-0523-4
Abstract
The InSight mission is due to launch in May 2018, carrying a payload of novel instruments designed and tested to probe the interior of Mars whilst deployed directly on the Martian regolith and partially isolated from the Martian environment by the Wind and Thermal Shield. Central to this payload is the seismometry package SEIS consisting of two seismometers, which is supported by a suite of environmental/meteorological sensors (Temperature and Wind Sensor for InSight TWINS; and Auxiliary Payload Sensor Suite APSS). In this work, an optimal estimations inversion scheme which aims to decorrelate the short-period seismometer (SEIS-SP) signal due to seismic activity alone from the environmental signal and random noise is detailed, and tested on both simulated and Viking data. This scheme also applies a module to identify measurements contaminated by Single Event Phenomena (SEP). This scheme will be deployed as the pre-processing pipeline for all SEIS-SP data prior to release to the scientific community for analysis.
Item Type: | Article |
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HAL Id: | hal-01914196 |
Audience (journal): | International peer-reviewed journal |
Uncontrolled Keywords: | |
Institution: | Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE) Other partners > University of Bristol (UNITED KINGDOM) Other partners > Imperial College London (UNITED KINGDOM) Other partners > Science and Technology Facilities Council - STFC (UNITED KINGDOM) Other partners > University of Oxford (UNITED KINGDOM) |
Laboratory name: | |
Statistics: | download |
Deposited On: | 06 Nov 2018 11:46 |
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