TiSKitPy

Routines for time series data processing

Uses the obspy Stream (data) and Inventory (metadata) classes

Documentation

Main Classes

• SpectralDensity: Calculate and manipulate spectral density functions.
• Decimator: Decimate time series and update metadata with the decimator's response
• CleanRotator: rotate data to minimize noise on vertical channel
• DataCleaner: Transfer_Function-based data cleaning
• ResponseFunctions: Frequency response functions for a given input channel.
• Compliance: Seafloor Compliance
• SeafloorSynthetic: Generate synthetic seafloor data, including compliance signal

Functions

• FIR_corr: transform zero-phase data to minimum phase. Based on Scherbaum, Of Poles and Zeros. Only works for LCHEAPO loggers, need to update to calculate/work for any zero-phase filter)
• readMSEED: read in MSEED data, including if the file is too big (> 2 GB) for obspy's read() function
• rptransient: calculate and remove periodic transient (VERY manual!).
  Based on Matlab code by E Wielandt, used in Deen et al., 2017 and Aminian et al., 2025
• PetersonNoiseModel: return the Peterson High and Low Noise Models (Peterson, 1993)
• plot_compliance_stack(): plot, from top to bottom, Z PSD, P PSD, Z-P coherence and Z-P frequency response function.

Installation

First, install obspy using the instructions on their webpage. Then, in the pip/conda environment that contains obspy, type pip install tiskitpy