Comments (1)
Hi @iandkelly,
Glad to hear you are finding hvsrpy useful in your work. Regarding pre-processing, as you noted, band-pass filtering is provided but optional with the default (and my preference) being not to band-pass filter the time series. In addition, detrending of the time series is performed automatically with hvsrpy to avoid artifacts in the frequency spectra. Yes, you are correct, instrument response correction is unnecessary if the three components have similar responses. Other than the aforementioned I am not aware of any other pre-processing techniques for HVSR; if there is something you are looking for specifically I can considering adding it in an upcoming release.
Additionally, it may be of interest to you to see (Vantassel et al., 2021) that contains a brief discussion of the processing parameters that most-significantly control the HVSR calculation (e.g., window length, smoothing coefficient, and method for combining the horizontal spectra) with some examples.
All the best,
Joe
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Related Issues (10)
- Feature Request: Command line interface HOT 3
- API Change Request: Multi-Azimuth Output File
- Combine Three One-Component Miniseed Files to a Single Three-Component File
- Issue with installing hvsrpy HOT 6
- hvsrpy Community Survey HOT 5
- Clarity criteria don't respect the frequency filter range HOT 2
- CPU number for processing HOT 1
- Missing Azimuthal Statistics in `azimuthal_hvsrpy_interface.ipynb` (v0.4.1)
- Supporting alternate data formats (i.e., not only miniSEED) HOT 12
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