Pyatoa's Config object expects the waveform misfit function to be input as 'waveform', but Pyadjoint expects this to be called 'waveform_misfit'. This mismatch causes Pyadjoint to throw the following error during the Manager.measure() task:
PyadjointError: Adjoint Source type 'waveform' is unknown. Available types: cc_traveltime_misfit, multitaper_misfit, waveform_misfit
To fix this, the Config object needs to be amended to set the adj_src_type for waveform misfit to be 'waveform_misfit' rather than waveform, which can be found in these code lines:
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def format_adj_src_type(choice): |
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""" |
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Pyadjoint requires that a standard adjoint source type is given in the |
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calculate_adjoint_source() function. This function acts as simple dictionary |
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input to provide the correct input for that function. Allows for various |
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spellings and variations of the same name. |
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:type choice: str |
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:param choice: pyatoa.Config.adj_src_type |
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:rtype: str |
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:return: pyadjoint adj_src_type |
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:raises ValueError: if choice isn't in the provided lists |
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""" |
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if choice in ["cc", "cc_traveltime_misfit", "cross_correlation"]: |
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adj_src_type = "cc_traveltime_misfit" |
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elif choice in ["mt", "mtm", "multitaper_misfit", "multitaper"]: |
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adj_src_type = "multitaper_misfit" |
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elif choice in ["wav", "wave", "waveform", "w"]: |
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adj_src_type = "waveform" |
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else: |
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raise ValueError(f"'{choice}' does not match available adjoint source " |
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f"types, must be 'cc', 'mt', or 'wav'") |
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return adj_src_type |