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@danikiev danikiev released this 09 Sep 14:55
· 26 commits to main since this release
v1.0.0
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Learn about vigilant mode.

[v1.0.0] - 2025-04-01

Initial public release, archived on Zenodo as 10.5281/zenodo.14945917.

Added

  • magnitude sensitivity modelling for a 3D elastic homogeneous medium with attenuation: the minimum moment magnitude of a microseismic event that is theoretically detectable on a given network, evaluated on a 3D grid of potential source locations
  • get_mag_sensitivity and get_mag_sensitivity_local high-level drivers, dispatching on the velocity model type and handling combined geometries
  • mag_sensitivity_grid vectorized homogeneous-medium engine computing per-station minimum detectable moment magnitudes
  • seismic moment to moment magnitude conversion after Kanamori (1977), and its inverse
  • peak frequency estimation after Eisner et al. (2013), limited by a corner frequency defaulting to 100 Hz
  • conversion of station noise levels to minimum detectable amplitudes for displacement, particle velocity, particle acceleration, strain, and strain-rate inputs, scaled by the required signal-to-noise ratio
  • distributed acoustic sensing (DAS) support: gauge length parsing from the geometry header with unit conversion, strain and strain-rate noise types, and a directionality correction accounting for sensitivity along the cable axis
  • support for station networks, DAS cables, and combined geometries evaluated together
  • free surface amplification correction for receivers recording at the daily surface
  • network detectability criterion based on the minimum number of stations required for P-wave, S-wave, or joint P- and S-wave detection
  • ASCII readers for network geometry in local and global (WGS84) coordinates, with conversion of geographic to local Cartesian coordinates
  • ASCII reader for homogeneous velocity models
  • DetectionParameters container with validation for signal-to-noise ratios, station counts, and frequencies
  • station geometry visualization in map and side views, colour-coded by noise level
  • magnitude sensitivity slice visualization with contour and image rendering
  • ten worked examples covering surface station networks, vertical, inclined and twice-inclined borehole DAS, depth-varying DAS noise profiles, and combined station plus DAS networks
  • conda environment files for user and development installations, and Windows installation scripts
  • MIT license
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