Companion guide to the marsquake catalog from InSight, Sols 0–478: Data content and non-seismic events

Ceylan, Savas; Clinton, John; Giardini, Domenico; Böse, Maren; Charalambous, Constantinos; Driel, Martin van; Horleston, Anna; Kawamura, Taïchi; Khan, Amir; Orhand-Mainsant, G.; Scholz, John‐Robert; Stähler, Simon C.; Euchner, F.; Banerdt, W. B.; Lognonné, Philippe; Banfield, Don; Beucler, É.; Garcia, Raphaël; Kedar, S.; Panning, M. P.; Pike, W. T.; Smrekar, S. E.; Spiga, Aymeric; Dahmen, Nikolaj; Hurst, K.; Stott, Alexander; Lorenz, R. D.; Schimmel, Martín; Stutzmann, E.; Pierick, Jan ten; Conejero, Vincent; Pardo, Constanza; Perrin, C.

doi:10.1016/j.pepi.2020.106597

“…The polarization of these events has been analyzed (Clinton et al, 2020) and only for few of them, a polarization associated to P or S could be measured. None of these events showed an elliptical polarization in the vertical plane as expected for Rayleigh waves.…”

Section: Propagating Polarized Seismic Wavesmentioning

confidence: 99%

“…In particular, the polarization that we measure below 0.3 Hz is in the horizontal plane which cannot correspond to Rayleigh waves. Clinton et al (2020) analyzed the polarization of all detected events.…”

Section: Introductionmentioning

confidence: 99%

The Polarization of Ambient Noise on Mars

Stutzmann

¹

,

Schimmel

²

,

Lognonné

³

et al. 2021

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“…To date, all six seismic components as well as the acquisition system have functioned nominally, exceeded mission requirements, and delivered unprecedented seismic data from the surface of Mars (InSight Mars SEIS Data Service, 2019). In addition to seismic signals of natural and artificial origins, that is, marsquakes (Clinton et al, 2020;Giardini et al, 2020;InSight Marsquake Service, 2020;Lognonné et al, 2020 for event catalog) and records from the HP 3 instrument hammering sessions (Spohn et al, 2018), respectively, these data show a variety of nonseismic signals (Ceylan et al, 2020). Among the most prominent and abundant types of these nonseismic signals are what we termed a "glitch".…”

Section: Introductionmentioning

confidence: 98%

Detection, Analysis, and Removal of Glitches From InSight's Seismic Data From Mars

Scholz

¹

,

Widmer‐Schnidrig²,

Davis

³

et al. 2020

Earth and Space Science

Self Cite

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The instrument package SEIS (Seismic Experiment for Internal Structure) with the three very broadband and three short-period seismic sensors is installed on the surface on Mars as part of NASA's InSight Discovery mission. When compared to terrestrial installations, SEIS is deployed in a very harsh wind and temperature environment that leads to inevitable degradation of the quality of the recorded data. One ubiquitous artifact in the raw data is an abundance of transient one-sided pulses often accompanied by high-frequency spikes. These pulses, which we term "glitches", can be modeled as the response of the instrument to a step in acceleration, while the spikes can be modeled as the response to a simultaneous step in displacement. We attribute the glitches primarily to SEIS-internal stress relaxations caused by the large temperature variations to which the instrument is exposed during a Martian day. Only a small fraction of glitches correspond to a motion of the SEIS package as a whole caused by minuscule tilts of either the instrument or the ground. In this study, we focus on the analysis of the glitch+spike phenomenon and present how these signals can be automatically detected and removed from SEIS's raw data. As glitches affect many standard seismological analysis methods such as receiver functions, spectral decomposition and source inversions, we anticipate that studies of the Martian seismicity as well as studies of Mars' internal structure should benefit from deglitched seismic data. Plain Language Summary The instrument package SEIS (Seismic Experiment for Internal Structure) with two fully equipped seismometers is installed on the surface of Mars as part of NASA's InSight Discovery mission. When compared to terrestrial installations, SEIS is more exposed to wind and daily temperature changes that leads to inevitable degradation of the quality of the recorded data. One consequence is the occurrence of a specific type of transient noise that we term "glitch". Glitches show up in the recorded data as one-sided pulses and have strong implications for the typical seismic data analysis. Glitches can be understood as step-like changes in the acceleration sensed by the seismometers. We attribute them primarily to SEIS-internal stress relaxations caused by the large temperature variations to which the instrument is exposed during a Martian day. Only a small fraction of glitches correspond to a motion of the whole SEIS instrument. In this study, we focus on the detection and removal of glitches and anticipate

show abstract

“…To date, all six seismic components as well as the acquisition system have functioned nominally, exceeded mission requirements, and delivered unprecedented seismic data from the surface of Mars (InSight Mars SEIS Data Service, 2019). In addition to seismic signals of natural and artificial origins, that is, marsquakes (Lognonné et al, 2020;Giardini et al, 2020;Clinton et al, 2020; InSight Marsquake Service, 2020 for event catalog) and records from the HP 3 instrument hammering sessions (Spohn et al, 2018), respectively, these data show a variety of nonseismic signals (Ceylan et al, 2020). Among the most prominent and abundant types of these nonseismic signals are what we termed a "glitch".…”

Section: Introductionmentioning

confidence: 98%

Detection, analysis and removal of glitches from InSight's seismic data from Mars

Scholz

¹

,

Widmer‐Schnidrig²,

Davis

³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

The instrument package SEIS (Seismic Experiment for Internal Structure) with the three very broadband and three short-period seismic sensors is installed on the surface on Mars as part of NASA's InSight Discovery mission. When compared to terrestrial installations, SEIS is deployed in a very harsh wind and temperature environment that leads to inevitable degradation of the quality of the recorded data. One ubiquitous artifact in the raw data is an abundance of transient one-sided pulses often accompanied by high-frequency spikes. These pulses, which we term "glitches", can be modeled as the response of the instrument to a step in acceleration, while the spikes can be modeled as the response to a simultaneous step in displacement. We attribute the glitches primarily to SEIS-internal stress relaxations caused by the large temperature variations to which the instrument is exposed during a Martian day. Only a small fraction of glitches correspond to a motion of the SEIS package as a whole caused by minuscule tilts of either the instrument or the ground. In this study, we focus on the analysis of the glitch+spike phenomenon and present how these signals can be automatically detected and removed from SEIS's raw data. As glitches affect many standard seismological analysis methods such as receiver functions, spectral decomposition and source inversions, we anticipate that studies of the Martian seismicity as well as studies of Mars' internal structure should benefit from deglitched seismic data. Plain Language Summary The instrument package SEIS (Seismic Experiment for Internal Structure) with two fully equipped seismometers is installed on the surface of Mars as part of NASA's InSight Discovery mission. When compared to terrestrial installations, SEIS is more exposed to wind and daily temperature changes that leads to inevitable degradation of the quality of the recorded data. One consequence is the occurrence of a specific type of transient noise that we term "glitch". Glitches show up in the recorded data as one-sided pulses and have strong implications for the typical seismic data analysis. Glitches can be understood as step-like changes in the acceleration sensed by the seismometers. We attribute them primarily to SEIS-internal stress relaxations caused by the large temperature variations to which the instrument is exposed during a Martian day. Only a small fraction of glitches correspond to a motion of the whole SEIS instrument. In this study, we focus on the detection and removal of glitches and anticipate

show abstract

Companion guide to the marsquake catalog from InSight, Sols 0–478: Data content and non-seismic events

Cited by 76 publications

References 24 publications

The Polarization of Ambient Noise on Mars

The Polarization of Ambient Noise on Mars

Detection, Analysis, and Removal of Glitches From InSight's Seismic Data From Mars

Detection, analysis and removal of glitches from InSight's seismic data from Mars

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