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Review
. 2019;215(1):12.
doi: 10.1007/s11214-018-0574-6. Epub 2019 Jan 28.

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

P Lognonné  1 W B Banerdt  2 D Giardini  3 W T Pike  4 U Christensen  5 P Laudet  6 S de Raucourt  1 P Zweifel  3 S Calcutt  7   8 M Bierwirth  5 K J Hurst  2 F Ijpelaan  6 J W Umland  2 R Llorca-Cejudo  6 S A Larson  2 R F Garcia  9 S Kedar  2 B Knapmeyer-Endrun  5 D Mimoun  9 A Mocquet  10 M P Panning  2 R C Weber  11 A Sylvestre-Baron  6 G Pont  6 N Verdier  6 L Kerjean  6 L J Facto  2 V Gharakanian  2 J E Feldman  2 T L Hoffman  2 D B Klein  2 K Klein  2 N P Onufer  2 J Paredes-Garcia  2 M P Petkov  2 J R Willis  2 S E Smrekar  2 M Drilleau  1 T Gabsi  1 T Nebut  1 O Robert  1 S Tillier  1 C Moreau  1 M Parise  1 G Aveni  1 S Ben Charef  1 Y Bennour  1 T Camus  12 P A Dandonneau  1 C Desfoux  1 B Lecomte  1   13 O Pot  1   14 P Revuz  1 D Mance  3 J tenPierick  3 N E Bowles  7   8 C Charalambous  4 A K Delahunty  4   15 J Hurley  16   7   8 R Irshad  16 Huafeng Liu  4   17 A G Mukherjee  4 I M Standley  18 A E Stott  4 J Temple  7   8 T Warren  7   8 M Eberhardt  5 A Kramer  5 W Kühne  5 E-P Miettinen  5 M Monecke  5 C Aicardi  6 M André  6 J Baroukh  6 A Borrien  6 A Bouisset  6 P Boutte  6 K Brethomé  6 C Brysbaert  6 T Carlier  6 M Deleuze  6 J M Desmarres  6 D Dilhan  6 C Doucet  6 D Faye  6 N Faye-Refalo  6 R Gonzalez  6 C Imbert  6 C Larigauderie  6 E Locatelli  6 L Luno  6 J-R Meyer  6 F Mialhe  6 J M Mouret  6 M Nonon  6 Y Pahn  6 A Paillet  6 P Pasquier  6 G Perez  6 R Perez  6 L Perrin  6 B Pouilloux  6 A Rosak  6 I Savin de Larclause  6 J Sicre  6 M Sodki  6 N Toulemont  6 B Vella  6 C Yana  6 F Alibay  2 O M Avalos  2 M A Balzer  2 P Bhandari  2 E Blanco  2 B D Bone  2 J C Bousman  2 P Bruneau  2 F J Calef  2 R J Calvet  2 S A D'Agostino  2 G de Los Santos  2 R G Deen  2 R W Denise  2 J Ervin  2 N W Ferraro  2 H E Gengl  2 F Grinblat  2 D Hernandez  2 M Hetzel  2 M E Johnson  2 L Khachikyan  2 J Y Lin  2 S M Madzunkov  2 S L Marshall  2 I G Mikellides  2 E A Miller  2 W Raff  2 J E Singer  2 C M Sunday  2 J F Villalvazo  2 M C Wallace  2 D Banfield  19 J A Rodriguez-Manfredi  20 C T Russell  21 A Trebi-Ollennu  2 J N Maki  2 E Beucler  10 M Böse  22 C Bonjour  3 J L Berenguer  23 S Ceylan  3 J Clinton  22 V Conejero  24 I Daubar  2 V Dehant  25 P Delage  26 F Euchner  3 I Estève  27 L Fayon  1 L Ferraioli  3 C L Johnson  28   29 J Gagnepain-Beyneix  1 M Golombek  2 A Khan  3 T Kawamura  1 B Kenda  1 P Labrot  1 N Murdoch  9 C Pardo  24 C Perrin  1 L Pou  9 A Sauron  3 D Savoie  30 S Stähler  3 E Stutzmann  24 N A Teanby  31 J Tromp  32 M van Driel  3 M Wieczorek  33 R Widmer-Schnidrig  34 J Wookey  31
Affiliations
Review

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

P Lognonné et al. Space Sci Rev. 2019.

Abstract

By 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 efficient thermal and wind shielding. Based on existing knowledge of Mars, it is reasonable to infer a moment magnitude detection threshold of M w 3 at 40 epicentral distance and a potential to detect several tens of quakes and about five impacts per year. In this paper, we first describe the science goals of the experiment and the rationale used to define its requirements. We then provide a detailed description of the hardware, from the sensors to the deployment system and associated performance, including transfer functions of the seismic sensors and temperature sensors. We conclude by describing the experiment ground segment, including data processing services, outreach and education networks and provide a description of the format to be used for future data distribution.

Electronic supplementary material: The online version of this article (10.1007/s11214-018-0574-6) contains supplementary material, which is available to authorized users.

Keywords: InSight; Mars seismology.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Sample suite of 13 models (color-coded as in legend in lower right). (AVP (solid lines, in km/s), VS (dashed, in km/s) and density (dotted, in g/cm3) as function of depth (km). (B) Shear quality factor (Q) as a function of depth. Models DWThot through EH45ThotCrust2b are from Rivoldini et al. (2011), ZG_DW is from Zharkov et al. (2009) and models DWAK through TAYAK are from Khan et al. (2018). Figure updated from Panning et al. (2017) with models available at: 10.5281/zenodo.1478804
Fig. 2
Fig. 2
Body waves amplitude spectrum, for a 15 second window, as compared to the Earth Low Noise model (Peterson 1993) and for quakes of Moment 1015Nm at 45° (left) and 90° (right) of epicentral distance computed with a Gaussian beam method. The two dashed curves are for a shear Qμ of 250 (upper curve) and 175 (lower curve) respectively in blue for P waves and red for S waves. On Earth, these body waves signals would be hidden by the micro-seismic peak. Note nevertheless the strong cutoff of amplitude at a few Hz, which shows that most for distant events amplitude will be recorded below 2 Hz for P body waves and below 1 Hz for S body waves
Fig. 3
Fig. 3
Global stack of synthetic seismogram envelopes for a magnitude 4 (moment 1015Nm) quake for two plausible Mars models, calculated using AxiSEM (Nissen-Meyer et al. ; van Driel et al. 2015). The seismograms were filtered with a noise-adapted filter suppressing all phases whose spectral power is below the noise level at all periods. In the plot, this corresponds to an amplitude of 0 dB. Note however, that phases with an amplitude of 0 dB can still be detectable, based on their polarization. Depth of the event is 10 km
Fig. 4
Fig. 4
Normal mode summation synthetic seismograms for Mars shows large signals for multiple surface-wave arrivals from a 1016Nm quake at a distance of 90 (5500 km). Filtering to isolate the Rayleigh waves suppresses the P and S arrivals around 10 minutes, which are actually quite strong (SNR>70 in a 0.1–1 Hz band). Black, green, purple and cyan traces are for source depths of 10, 20, 50 and 100 km, respectively. Red lines denote the RMS noise level for 109m/s2/Hz1/2 in amplitude spectral density in a bandwidth of 0.02–0.04 Hz, about 1.5×1010m/s. Dashed blue provide the amplitude model which was used in the requirement flow
Fig. 5
Fig. 5
Root mean squared self-noise of the three main outputs of the SEIS instrument (VBB VEL, VBB POS and SP VEL), in acceleration for a 1/6 of decade bandwidth, as a function of the central frequency of the bandwidth. This is compared to the Apollo and Viking resolution or LSB, as none of these instruments were able to record their self-noise due to limitations in the acquisition system for Apollo and Viking (9 bits plus sign for Apollo, 7 bits plus sign for Viking). SEIS uses acquisition at 23 bits plus sign
Fig. 6
Fig. 6
Instrument noise. Vertical (top two figures) and horizontal noises (bottom two figures) for the day (left) and night (right) environmental conditions. Horizontal black and red lines represent the instrument performance requirements for the VBB self-noise and SEIS full noise (with environmental ones). Performances are presented for mean (50%), nominal 1σ (70%) and worst case 3σ (95%) conditions, respectively in dashed, dot-dashed and solid lines for the VBBs. Dashed black curve represents the SP sensor requirement while the green continuous line is the expected SP noise with environment for mean conditions. Curves are provided in the VBB and SP bandwidth, respectively [0.01–10 Hz] and [0.1–50 Hz]
Fig. 7
Fig. 7
Summary of Marsquake Service performance in the Blind Test. All events included in the one year of data are shown. MQS detected the events shown in red and green, those in green meet L1 requirements. Squares indicate the events located using R1/R2/R3, triangles were located with R1 and circles are for only P and S waves. The grey curve indicates the limit threshold for detection and the black curve the location threshold, as a function of distance. See details in Clinton et al. (2018)
Fig. 8
Fig. 8
Example of pressure decorrelation efficiency from synthetic tests following the techniques of Murdoch et al. (2017b). Event on the left is the one of the blind test data on 22/09/2019 and pressure decorrelation will enable much better long observations and therefore normal modes. The right example shows the R1 of a smaller quake on 27/03/2019. The bottom trace in black shows a clear detection of R1
Fig. 9
Fig. 9
Deviation of the Phobos gravimetric factor l=2, m=2 (in red) and of the ratio between the l=2, m=2 and l=4, m=4 factors in blue. The second one varies by about ±0.4% for the range of a-priori models but will not depend on an absolute calibration of SEIS
Fig. 10
Fig. 10
SEIS experiment subsystems, together with the institutions leading the subsystems
Fig. 11
Fig. 11
SEIS Sensor Assembly (SA) without the RWEB
Fig. 12
Fig. 12
The Sensor Assembly being deployed on the ground during DST#3 (Deployment System Test). Two segments of the tether (TSA-1, part of TSA-), the Tether Storage Box, Field Joint and part of the Load Shunt Assembly are also visible
Fig. 13
Fig. 13
Comparison of the VBBs and SPs transfer functions. Very long period gains are similar while the VBB gain is a factor of 4–5 times larger between 20 s and 10 Hz. All gains are in Digital Unit (DU) per ground velocity (m/s)
Fig. 14
Fig. 14
Records of earthquakes detected by VBB14 (a) and VBB12 (b) in low gain engineering mode during temperature tests when located at IPGP (48.808°N 2.492°E): raw data (top), filtered data (middle) and spectrogram (bottom). (a) Mw=7.8 Solomon Islands earthquake occurred December 8, 2016, 17:38:46 UTC (epicenter location: 10.681°S 161.327°E, depth: 40 km, epicentral distance: 138.0°). The arrival times of PP and SS waves are indicated in red. P and S waves are not recorded at this epicentral distance. (b) Mw=3.9 earthquake occurred near Brest (France) December 11, 2016, 21:27:23 UTC (epicenter location: 48.490°N 4.460°W, depth: 2 km, epicentral distance: 4.6 km). Noise levels are all related to the test facility, a site very far from seismic vault conditions
Fig. 15
Fig. 15
Record of local earthquake detected by QM SP1 in Acton, California: spectrogram (top), time series (bottom) for a Mw=1.4 ENE of Colton, California, occurred on July, 17th, 2016, 06:34:11 UTC. The time series show the full 80 Hz bandwidth from 200 sps (labeled SP), downsampled to the continuous stream of 2 sps (cont. SP) and using the energy in a 4 to 16 Hz filter downsampled to 2 sps (ESP)
Fig. 16
Fig. 16
Record teleseismic earthquake detected by QM SP1 in Oxford UK: spectrogram of the incoherent noise with respect to the reference sensor, signal spectrogram (middle) and time series (bottom, for a reference seismometer, green, for the SP in blue with the difference in red) for a Mw=7.7, 29km SW of Agriha, Northern Mariana Islands at 2016-07-29 21:18:24 UTC. The red time signal is the one used for the coherence noise spectrogram
Fig. 17
Fig. 17
15 degrees tilted configuration for extreme deployment conditions. As a low rigidity regolith is expected at surface, SEIS will however be always in contact with the flat disks of the three feet, in the center of which a spike will penetrate in the ground. The surface will therefore be deformed just beneath each foot
Fig. 18
Fig. 18
LVL design as well as location of all sensor assembly subsystems
Fig. 19
Fig. 19
The SEIS EBox. A 5kg and 9W electronic box. The E-box is 243.8 mm in height. The top is 303.5mm×125.5mm while the bottom is 343.5mm×169.5mm due to mounting structures
Fig. 20
Fig. 20
The EBox and its electronic boards. The E-box is 243.8 mm in height. The top is 303.5mm×125.5mm while the bottom is 343.5mm×169.5mm due to mounting structures
Fig. 21
Fig. 21
Tether System overview, Stowed Configuration. The Ebox is inside the Thermal Enclosure of the Lander. The Thermal Enclosure is not shown. The height of the Sensor Assembly on the InSight deck is about 33 mm and the distance from the center of the Sensor Assembly to the field joint is about the same
Fig. 22
Fig. 22
Illustration of the RWEB and WTS configuration after deployment
Fig. 23
Fig. 23
Cradle subsystem overview
Fig. 24
Fig. 24
Sensor Assembly integration summary. Each VBB (a) is integrated in the crown (b). (c) Shells are welded on the crown, the vacuum is made and the exhaust tube (queusot) is pinched off. (d) VBBs can then be tested when connected to their PE (Proximity Electronics), one PE for each VBB. (e) The sphere and then all SPs (Short Period) are added to the LVL ring. (f) The cradle makes the mechanical link between the instrument and the lander. (g) The tether makes the electrical link between all the Sensor Assembly’s components and the Lander. (h) The RWEB provides a first protection, mainly thermal. (i) The WTS (Wind and Thermal Shield) is placed on the Sensor Assembly after the SA is deployed
Fig. 25
Fig. 25
Transmission strategy of the SEIS experiment
Fig. 26
Fig. 26
Deployment process of the SEIS experiment following the landing and prior to the HP3. This does not detail the deployment internal to the SEIS sensor assembly after Sensor Assembly deployment on the ground
Fig. 27
Fig. 27
This figure presents the online tool developed by JPL/Caltech to evaluate and compare the performance of tentative deployment sites. The lander is represented in the lower part of the figure. Tentative positions for SEIS (pentagon) and WTS (circle) are figured on the top. The color code goes from blue to red. It represents the percentage of budget allocation for the wind noise on the overall instrument (red equal or superior to 100, deep blue zero percent of the allocation) for the 100 mHz horizontal noise
Fig. 28
Fig. 28
Details of the 4 Frangibolt firings actions, each of them an irreversible action associated with locking systems. Respectively, these are (top left) the locking system of the SEIS SA on the deck, (top right) the Tether box opening for mechanical decoupling of the tether from the lander, (bottom left) the LSA opening for mechanical decoupling of the tether from the SEIS SA and (bottom right) the locking system of the Wind Shield
Fig. 29
Fig. 29
SEIS Deployment (left) and grapple release (right)
Fig. 30
Fig. 30
The closed tether box (left) is opened to release the tether onto the surface (right)
Fig. 31
Fig. 31
Opening the Load Shunt Assembly (LSA) on the tether. The LSA mechanically decouples the seismometer from thermoelastic expansion and contraction of the tether
Fig. 32
Fig. 32
The final stage in SEIS deployment is the placement of the WTS over the sensor assembly
Fig. 33
Fig. 33
VBBs subsystem overview. It is composed of 3 sensors enclosed in the Evacuated Container (EC), 3 proximity electronics boxes hosted on the LVL and 3 feedback boards located into the E-box. The Tether provides the electrical connection between the feedback board and the PE
Fig. 34
Fig. 34
The 3 VBB sensors in the spherical evacuated container (right) which has an outside diameter of 198 mm. Their three sensing directions form the tetrahedron shown on the left
Fig. 35
Fig. 35
Inverted Pendulum Principle Schematic
Fig. 36
Fig. 36
Picture of the pivot of VBB1, including electrical connections. The length of the pivot is 54 mm
Fig. 37
Fig. 37
(a) One of the VBB sensor with Earth mass and VBB pendulum CAD views, illustrating the different functions of the sensor, (b) the fixed part, (c) the moving part, (d) the pivot, see Fig. 36, (e) the displacement Transducer, see Sect. 5.1.4, (f) the Feedback coils, see Sect. 5.1.5, (g) the re-centering motors, see Sect. 5.1.6 and Fig. 44, (h) the Thermal Compensation System, Sect. 5.1.8 and Fig. 45. A VBB pendulum fits in a 65×100×108mm3 volume
Fig. 38
Fig. 38
All Flight and spare VBBs prior to the cherry-pick process which lead to the selection of the 3 Flight and the 3 spare units. Each VBB pendulum fits in a 65×100×108mm3 volume
Fig. 39
Fig. 39
Q of VBB 13 as a function of pressure. The gas in the chamber was air
Fig. 40
Fig. 40
DCS noise. Nominal noise in red and VBB11 measurement in other colors. Noise above 1 Hz is residual micro-seismic background
Fig. 41
Fig. 41
FB schematics. Top: ENG mode. Bottom: SCI mode
Fig. 42
Fig. 42
FB transfer function at 55C for unit VBB10. On left are the Transfer functions for the ground velocity and at right are those for the ground acceleration, in Digital Unit (DU) per ground velocity (m/s) or ground acceleration (m/s2)
Fig. 43
Fig. 43
Saturation Levels at 55C for unit VBB10. Left are those of the SCI output and right those of the ENG outputs. In addition to the saturation of the outputs gains, the internal saturation is shown in red. In SCI mode, this internal saturation occurs at long period at the output of the INT2 filter and above about 1 Hz at the output of the displacement transducer. This internal saturation matches therefore the Low Gain modes of the instruments at long periods for POS LG and at short periods for VEL LG. The same is valid for the ENG, where the internal saturation is then only due to the displacement transducer saturation and matches the one of the POS LG output
Fig. 44
Fig. 44
Re-centering mechanism from the top and from the side. A lead screw is driven by a stepper motor through a 1:256 gear box and a flex coupling to displace the mechanism. Two parallel guides prevent the motor gear box to rotate. To minimize overall mass, the motor is on the moving part. The re-centering mechanism fits in a 86×36×22mm3 volume. The motor and gear box have a 10 mm diameter
Fig. 45
Fig. 45
Thermal Compensator Device Mechanism. Two thermal compensation devices are mounted on a shaft. A tuning mechanism allows tuning of their orientation in a vertical plane. It is composed of a stepper motor, a 1:256 gear box and a worm screw. The compensation device is 37mm×37.1mm and can extend 12μm per °C. The orientation mechanism is 43.2 mm long. Its motor and gear box are 8 mm in diameter
Fig. 46
Fig. 46
Thermal tests of one of the Flight VBBs (VBB3) during which the temperature of the VBB went from 70C to 10C. The test was made on the POS ENG low gain (about 1500Vs2/m), which has about 8 times less gain than the POS SCI low gain. In the neutral position (magenta solid line), signal varies by about 0.5 Volt from 52C to 9C. On the right, dotted, long dashed and continuous red lines are for ±5×105m/s2/K, ±2×105m/s2/K and ±5×106m/s2/K thermal sensitivities. Blue line corresponds to data measured during passive heating of the VBB. Left is for signal output in Volt while right is the temperature derivative, for a fixed gain and for the temperature sensitive gain. Black dotted lines are for the different positions of the TCDM. The very large temperature sensitivity at 60C is suspected to be exaggerated by the testing device on Earth
Fig. 47
Fig. 47
VBB 1 & 2 Thermal Sensitivity performances. VBB2 has higher thermal sensitivity at cold that exceed TCDM capabilities at low temperature. VBB2 meets its requirements over 55C. VBB1 is compliant over the full range. Color and lines definitions are the same as the right Fig. 46. Only the active tests results are shown for VBB2
Fig. 48
Fig. 48
The unmounted SP sensors showing in (a) the top view of SP1, the vertical axis sensor and (b) the back view of SP2, one of the two horizontal axes
Fig. 49
Fig. 49
The SP sensor mounted on its frame and connected to the proximity electronics
Fig. 50
Fig. 50
The SP sensor assembly with the magnetic assembly and proximity electronics mounted on the SP sensor enclosure base prior to sealing
Fig. 51
Fig. 51
A sealed horizontal SP unit viewed from (a) the connector side and (b) the LVL mounting direction
Fig. 52
Fig. 52
A schematic of the SP electronics. SEIS-SC, the SEIS acquisition electronics are installed in the Ebox of the lander while the SP sensors are deployed on the Martian surface on the SEIS instrument assembly
Fig. 53
Fig. 53
Solid lines: Generic shape of the Transfer functions of the SPs for the VEL output (left) and for the MPOS output (right). On the left, the dashed line is the low gain VEL output. The Full Scale Range of SEIS-AC is 25 Volt for SP VEL (with 24 bits) and 10 Volt for SP POS (with 12 bits for A/D and 16 bits after averaging)
Fig. 54
Fig. 54
Linear guidance of the telescopic leg. The diameter of the telescopic length is 25 mm
Fig. 55
Fig. 55
Geartrain of the linear actuator. The diameter of the telescopic legs is 25 mm
Fig. 56
Fig. 56
MDE block diagram
Fig. 57
Fig. 57
The place of the E-Box in the system
Fig. 58
Fig. 58
The SEIS-AC acquisition electronics including redundancy
Fig. 59
Fig. 59
Digital filtering in acquisition chain for velocity signals
Fig. 60
Fig. 60
Digital filtering in acquisition chain for position and SCIT signals
Fig. 61
Fig. 61
The reduction of gain error by offset compensation for temperatures
Fig. 62
Fig. 62
The structure of packets containing seismic or housekeeping data
Fig. 63
Fig. 63
The circular buffer as used for seismic and housekeeping data
Fig. 64
Fig. 64
The acquisition noise breakdown of VBB VEL channels (FSR=±25V, 1LSB=3μV)
Fig. 65
Fig. 65
Tether System overview, Deployed Configuration. The TSA-3 and TSA-4 between the Tether Storage Box and the Ebox are unchanged from. The distance from the center of the Sensor Assembly of SEIS and the point below the Tether Storage Box is about 1.40 m in this configuration
Fig. 66
Fig. 66
Construction and thicknesses of Tether belts
Fig. 67
Fig. 67
Finite element mesh configuration for thermal and elastic models of the tether
Fig. 68
Fig. 68
EC (Evacuated Container) with non-flight ground handling ring. The diameter of the sphere is 198 mm
Fig. 69
Fig. 69
SEIS RWEB (Remote Warm Enclosure Box). The width of the RWEB is 355mm and its height is 212.5 mm
Fig. 70
Fig. 70
SEIS WTS (Wind and Thermal Shield). It is 72 cm in diameter and 35 cm tall
Fig. 71
Fig. 71
(Left) 37-pin and 2-pin electrical feedthrough installed into EC Crown; (Right) 37-pin feedthrough closeup
Fig. 72
Fig. 72
Pinched-off queusot
Fig. 73
Fig. 73
Sphere heat flow diagram under beginning of life pressure conditions. The average temperature in Celsius are given for the different units
Fig. 74
Fig. 74
Cradle Dampers (on left) and internal design of the cradles with the release mechanism (on right). The cradles are 185.5 mm height
Fig. 75
Fig. 75
Cradle damping efficiency. The left figure provides the damping of launch vibration, while the right figure provides the damping efficiency during cradle release. Red lines are those on the deck and blue lines are the acceleration levels at the SEIS assembly
Fig. 76
Fig. 76
Typical setup with 5 reference seismometers. STS-2 BFO was covered by an air lock, STS-2 CNRS was covered by mu-metal/thermal shield and STS-2.5 only by thermal shield. SEIS was tilted at 68° to balance one VBB and the vertical SP
Fig. 77
Fig. 77
Left: Big thermal shield used for tests. Right: Aluminum plate and goniometer mounting. SEIS was mounted on the goniometer while the reference seismometers were installed on the plate or nearby
Fig. 78
Fig. 78
References sensors and reference acquisition systems used for the performance tests. From left to right, STS-2 and Trillium compact seismometers from Streckeisen and Nanometrics respectively, Q330HR and Centaur digitizers from Kinemetrics and Nanometrics respectively
Fig. 79
Fig. 79
Typical setup with 5 reference seismometers. SEIS (not seen) is connected to the Ebox
Fig. 80
Fig. 80
Setup for SEIS QM test in the Black Forest Observatory mine seismic vault. EBOX on the left, sensor assembly with “cuvinette” on the right. Once the tent was closed the reference seismometers were installed on the pillar in the foreground
Fig. 81
Fig. 81
Top left: VBB in Earth configuration. The Earth mass is indicated by a black arrow. VBBs can operate in Earth mass in the nominal configuration but with a gain smaller than the Flight model by about 2.65. Top right. Flight model during tests as fixed on the test goniometer. The test goniometer was used to tilt the Sensor Assembly to the required position. Bottom left: one of the 68° positions, used for testing the VBB1. The rotation is made with a rotation axis in the direction of Y. During this rotation, both VBB1 and the vertical SP1 can be desaturated. Generally, fine recentering was made with the goniometer in order to reduce the use of the Flight unit’s recentering motors. Bottom right: Configuration for the 32° test, in which two VBBs as well as a horizontal SP can be desaturated and tested
Fig. 82
Fig. 82
Details of the Transfer function between 30 s (0.03 Hz) and 30 Hz for the VEL output for the different testing configurations. Up to 30% of variations of the Transfer function are observed mostly due to the VBB frequency change. Gain is always larger than the 68° configuration which is close to the Flight configuration. Note however that even in this case, the pivot is operating in off-nominal condition, with a large force along its rotation axis due to the projected weight of the pendulum
Fig. 83
Fig. 83
Modeling of the VBB seismometer output from a sweep calibration experiment. The top panel shows the current flowing through the calibration coil. It covers frequencies from 1 Hz to 0.01 Hz. The middle panel shows the output of the seismometer overlain with the modeled output and the residue, that is the difference between the two signals. The bottom panel shows only the residue. The modeled output fits the measured output so well that nothing from the sweep is visible in the residue. Only the background noise level from CNES is visible. Instrument parameters can be constrained more tightly if such test can be conducted at seismically quieter locations
Fig. 84
Fig. 84
Dispersion of the gain measurements of the VBBs during coil calibration. Dispersions were ranging 4–6% for the VEL gain and 0.7–0.9% for the POS gain
Fig. 85
Fig. 85
SEIS VBBs eigenfrequencies with respect to Temperature
Fig. 86
Fig. 86
SEIS VBBs Magnetic actuators ratios of the force coefficient by the internal resistance with respect to Temperature. Coil A, B, C are the integrator, derivator and calibration coils respectively (see Sect. 5.1.5). Measurement errors remain large
Fig. 87
Fig. 87
SEIS VBBs Theoretical VBBs Amplitude Response variation wrt Sphere Temperature from feedback actuator thermal sensitivity measurements. At periods larger than 100 s, the transfer function sensitivity is <0.05%/C, leading to 2.5% over the 50°C climatic variation between the coldest and hottest temperature of the VBBs over one Martian year
Fig. 88
Fig. 88
SEIS POS output at the Phobos Tide frequency and SEIS VEL output at 100 s, as a function of temperature. Temperature dependency will be recalibrated on Mars but can be considered as linear as a function of frequency and with a frequency dependency as indicated by Fig. 85. The information of temperature dependency will be encrypted in a SEED comment
Fig. 89
Fig. 89
Noise model of one VBB axis in Mars conditions, for Night and Day conditions, for both the VEL (left) HG and POS (right) HG. For LG, the acquisition noise will be respectively 3.2 and 4.5 larger for VEL and POS output respectively
Fig. 90
Fig. 90
Results of tests made on the flight units in the CNES clean room, for both the POS and VEL outputs. The yellow curve shows the noise between two STS-2, which is significantly above the VBB noise model. The dashed green continuous curve is the VBB noise model while the continuous green curve is the quadratic sum between the VBB self-noise and the observed STS-2 noise, which might be more representative to the noise of the VBB with respect to a STS-2. Some of the VBBs measurements are very close to the environmental limits, despite the lower quality installation of the VBBs on the goniometer compared to the better installation quality of the STS-2
Fig. 91
Fig. 91
Noise measurement of the VBB in Earth configuration at BFO
Fig. 92
Fig. 92
Comparison of three closely colocated STS-2s at BFO
Fig. 93
Fig. 93
Spectrogram of the VBB output in ground acceleration, during 10 hours of BFO tests with Earth configuration. The series of events seen at frequencies smaller than 0.01 Hz are likely related to pressure transient variations associated with the leak rate of the vacuum chamber used for the test and whose spectrum might be proportional to f1. The amplitudes shall be compared to those recorded by the STS-2s shown on Fig. 91
Fig. 94
Fig. 94
The transfer function (TF) of SP determined from coherence testing shown in amplitude and phase. The requirement of ±5dB flatness within the bandwidth of SP is shown. The TF determination is valid within the bandwidth where the coherence is high, allowing extension of SP meeting the TF requirements to 0.006 Hz
Fig. 95
Fig. 95
Self noise of the flight model (FM) SP’s as determined by coherence testing on the SEIS instrument assembly at CNES Toulouse, together with the self-noise of a qualification model (QM) unit determined at the lower noise Black Forest Observatory (BFO). The SP performance requirement is marked as well as the noise models for the FM and QM units. All SPs are at least a factor of 2 better than their requirements at 0.1 Hz
Fig. 96
Fig. 96
Position of SCIT A&B on the LVL subsystem
Fig. 97
Fig. 97
HRTS-5760-B-U-0-12 sensor head
Fig. 98
Fig. 98
Dry Heat chamber
Fig. 99
Fig. 99
Location of MEMS (1) and HP tiltmeters (2) on the LVL
Fig. 100
Fig. 100
SH 50055 Family Sensor
Fig. 101
Fig. 101
Working principle of the HP sensors
Fig. 102
Fig. 102
Temperature calibration curves for HP tiltmeter, measured at −20°C to 40°C in 20°C steps as described in the text
Fig. 103
Fig. 103
Temperature calibration curves for MEMS tiltmeter, measured at −20°C to 40°C in 20°C steps as described in the text
Fig. 104
Fig. 104
Measured (blue) and modeled (red) gain of the horizontal transfer functions in the LVL baseline configuration (all legs extended by 0.5 mm). Masses, leg lengths and values of khp of the model were set to those of the measurement, whereas parameters khg, Chg and Q were adjusted to fit the data
Fig. 105
Fig. 105
Schematic of the SEIS sensor assembly environment
Fig. 106
Fig. 106
Views of the SA coatings
Fig. 107
Fig. 107
Results of CFD computation on WTS in cold case with 20m/s wind
Fig. 108
Fig. 108
Photos of TVAC#4 configuration
Fig. 109
Fig. 109
TVAC#4 profile as realized
Fig. 110
Fig. 110
Comparison data vs. temperature calculated with 1st order filter
Fig. 111
Fig. 111
Comparison model-test data on the warm-up phase of Landed TVAC
Fig. 112
Fig. 112
SEIS temperatures on Mars in cold operating case. Time is in Mars hours
Fig. 113
Fig. 113
SEIS temperatures on Mars in hot operating case. Time is in Mars hours
Fig. 114
Fig. 114
Air circulation impacting heat exchanges
Fig. 115
Fig. 115
Overview of the SEIS Operations
Fig. 116
Fig. 116
Event Request Selection Process
Fig. 117
Fig. 117
Example of SEISVELZ production chain by Ebox (on the left side of blue dashed line) and FSW (on the right side of blue dashed line) from SP and VBB channels. The final product (SEISVELZ at 10 sps) is provided in the continuous data flow
Fig. 118
Fig. 118
SISMOC functions with the roles of JPL (in red), CNES (in blue) and the Science services and team (in yellow)
Fig. 119
Fig. 119
This summarizes the SEIS data flow from SISMOC to the scientific community
Fig. 120
Fig. 120
Examples of preliminary demonstrations of the anticipated products of the MSS from Panning et al. (2017). (A) Example demonstration of the probability density function output for the Bayesian inversion of a small number of P, S and Rayleigh wave group arrival times for resolution of Earth mantle velocity structure. (B) A range of models of shallow crustal structure with color of plotting representing data misfit inverted to match synthetic Mars observations of the frequency dependent ratio of vertical component to horizontal component amplitude. (C) Bayesian inversion of mantle structure from noisy synthetic long period normal mode spectra. Green colors represent higher probability models while blue color is lower probability
Fig. 121
Fig. 121
Data flow with key contact persons
Fig. 122
Fig. 122
Seed volumes organization
Fig. 123
Fig. 123
Hex dump of the station of cola.iu.liss.org. The most important fields are specified and linked to a description Table

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