Error in dispersion analysis & Cross correlational

[Pragnath]

Hi ,

I’ve followed the NoisePy tutorial and successfully completed the correlation computation and stacking. I have observed that even when the auto correlational is off config.acorr_only = False; config.xcorr_only = True, it is being computed and saved and is included in stacking.

Apart from that, i was trying to run dispersion but extract_dispersion function is not defined in the program. So, i copied the extract_dispersion function from function_2019/noise_module.py, but there was an error.

Error while running 'dispersion_analysis.py'

Checking if file exists: /home/light/softwares/NoisePy/converted_mseed/STACK/AR.LAKH/AR.ADHO/2020_04_09_00_00_00T2020_04_13_00_00_00.h5
Traceback (most recent call last):
File "/home/light/miniconda3/envs/noisepy_mpi/lib/python3.10/site-packages/pyasdf/utils.py", line 523, in getitem
return self.getattr(item)
File "/home/light/miniconda3/envs/noisepy_mpi/lib/python3.10/site-packages/pyasdf/utils.py", line 518, in getattr
raise AttributeError
AttributeError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/light/softwares/NoisePy/src/noisepy/imaging/dispersion_analysis.py", line 81, in
maxlag = ds.auxiliary_data[dtype]["ZZ"].parameters["maxlag"]
File "/home/light/miniconda3/envs/noisepy_mpi/lib/python3.10/site-packages/pyasdf/utils.py", line 525, in getitem
raise KeyError(str(e))
KeyError: ''

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/light/softwares/NoisePy/src/noisepy/imaging/dispersion_analysis.py", line 85, in
raise ValueError(e)
ValueError: ''
Exception ignored in: <function ASDFDataSet.del at 0x77cf6d9e8700>
Traceback (most recent call last):
File "/home/light/miniconda3/envs/noisepy_mpi/lib/python3.10/site-packages/pyasdf/asdf_data_set.py", line 308, in del
TypeError: 'NoneType' object is not callable

Could you give some guidance or suggestions on how to proceed? Thanks in advance.