Processing software for "On-deck seismology: Lessons from InSight for future planetary seismology"
All raw data used in the paper is available for download either at the IRIS Data Management Center, or through the Mars SEIS Data service MSDS. This data is read using the obspy python package.
The authoritative source for the archived InSight data, including all instruments is the Planetary Data System. SEIS data is archived at the Geosciences node. Wind data from the TWINS sensor is archived at the Atmospheres node.
THe following python codes are included for producing figures in the paper:
make_ppsd_panelA_fig.py - Panel A of figure 2
make_paper_ppsd_fig.py - Panel B of figure 2
windspeed_comp.py - Figure 3 and panel C of figure 1 (Note that the summary RMS data produced by this script is saved in the file WS_SPviking_rms.csv)
generate_atten_curve.py - Generate interpolated attenutation curves using Instaseis databases previously published used in figures 5-7. The Mars Instaseis databases can be found at http://instaseis.ethz.ch/marssynthetics/ and are explained in Clinton et al. (2017) doi: 10.1785/0220170094. The Europa Instaseis databases can be found at http://instaseis.ethz.ch/icy_ocean_worlds/ and are explained in Staehler et al. (2018) doi: 10.1002/2017JE005338. planet variable and db_short need to be set in the code to create files for all models used in the paper.
plot_atten_curve.py - Figure 5 (Note that this uses interpolated attenuation curves from the atten_curves subdirectory generated by generate_atten_curve.py)
event_prob_matrix_ondeck.py - Generates data files for figure 6 using attenuation curves already discussed
plot_prob_ondeck.py - Panels A and B of figure 6 (uses data from probability matrix csv files in this directory generated by event_prob_matrix_ondeck.py)
event_prob_matrix_europa.py, event_prob_matrix_europa_lownoise.py, and event_prob_matrix_europa_selfnoise.py - Generates the input files for figure 7
plot_prob.py, plot_prob_selfnoise.py, plot_prob_lownoise.py - plotting panels of figure 7
The specific data used in these codes including specific filenames can be downloaded at the NASA Open Data Portal archive preserved at this archive. This data should be saved expanded as a subdirectory called datafiles in order to use the python codes as written.
All software in this repository is licensed using GNU General Public License version 3 as described in the file COPYING
Affiliation: Jet Propulsion Laboratory, California Institute of Technology The research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). This research is in support of InSight Contribution Number 120.