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DOI: 10.5445/IR/1000091070
Veröffentlicht am 26.02.2019
DOI: 10.1007/s11214-018-0574-6
Zitationen: 2
Web of Science
Zitationen: 15

SEIS: Insight’s Seismic Experiment for Internal Structure of Mars

Lognonné, P.; Banerdt, W. B.; Giardini, D.; Pike, W. T.; Christensen, U.; Laudet, P.; Raucourt, S. de; Zweifel, P.; Calcutt, S.; Bierwirth, M.; Hurst, K. J.; Ijpelaan, F.; Umland, J. W.; Llorca-Cejudo, R.; Larson, S. A.; Garcia, R. F.; Kedar, S.; Knapmeyer-Endrun, B.; Mimoun, D.; Mocquet, A.; ... mehr

the end of 2018, 42 years after the landing of the two Viking seismometers on Mars, InSight will deploy onto Mars’ surface the SEIS (Seismic Experiment for Internal Structure) instrument; a six-axes seismometer equipped with both a long-period three-axes Very Broad Band (VBB) instrument and a three-axes short-period (SP) instrument. These six sensors will cover a broad range of the seismic bandwidth, from 0.01 Hz to 50 Hz, with possible extension to longer periods. Data will be transmitted in the form of three continuous VBB components at 2 sample per second (sps), an estimation of the short period energy content from the SP at 1 sps and a continuous compound VBB/SP vertical axis at 10 sps. The continuous streams will be augmented by requested event data with sample rates from 20 to 100 sps. SEIS will improve upon the existing resolution of Viking’s Mars seismic monitoring by a factor of ∼ 2500 at 1 Hz and ∼ 200 000 at 0.1 Hz. An additional major improvement is that, contrary to Viking, the seismometers will be deployed via a robotic arm directly onto Mars’ surface and will be protected against temperature and wind by highly efficie ... mehr

Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 0038-6308, 1572-9672
URN: urn:nbn:de:swb:90-910704
KITopen-ID: 1000091070
Erschienen in Space science reviews
Band 215
Heft 1
Seiten Art. Nr.: 12
Vorab online veröffentlicht am 28.01.2019
Schlagworte Mars seismology, InSight
Nachgewiesen in Web of Science
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