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Segmentation fault (core dumped) ![db047099c87df40ad3a5d32e30c9bf3a](https://github.com/isce-framework/isce3/assets/88225620/62f843df-95ee-452c-b640-596c4424477c)

@bjmarfito Hello, what should I do to handle a single burst for stackSentinel.py ? https://github.com/isce-framework/isce2/issues/756

> Hi @ZGHHGZ You can specify a subset area in your template file to crop data while loading them: > > https://github.com/insarlab/MiaplPy/blob/7dbf0c127d59a2f73ff3e27452a212e33aaf76b6/src/miaplpy/defaults/miaplpyApp.cfg#L47-L48 Thank you for your reply, I was able...

>>> print(numpy.version.version) 1.26.4 >>> print(scipy.version.version) 1.12.0

> 您是否找到与 phase_linking 步骤稳定的 SciPy / Numpy 版本? > > > > print(numpy.version.version) > > > > 1.26.4 > > > > print(scipy.version.version) > > > > 1.12.0

[gamma_parameters.txt](https://github.com/user-attachments/files/19777851/gamma_parameters.txt) https://zenodo.org/records/14001005/files/PichinchaSenDT142_gamma.zip You can test if the sample data can be processed properly. And then determine whether there is a problem with the system environment or the data.

> > [gamma_parameters.txt](https://github.com/user-attachments/files/19777851/gamma_parameters.txt) https://zenodo.org/records/14001005/files/PichinchaSenDT142_gamma.zip You can test if the sample data can be processed properly. And then determine whether there is a problem with the system environment or the data....

> ![Image](https://github.com/user-attachments/assets/052d8bd7-a682-4cf9-9f79-7615324b3cef) > > ![Image](https://github.com/user-attachments/assets/b2addc1a-6a70-47cc-85c5-ae3085254cff) > > GAMMA:(0,2250,0,500) isce:(0,0,1685,530) I find the tutorial on this site([https://nbviewer.org/github/insarlab/MiaplPy_notebooks/blob/main/miaplpyApp.ipynb], pre-processed in isce. Comparing the tutorial jupyter output(isce) and the sample dataset (GAMMA), it...

> ![Image](https://github.com/user-attachments/assets/052d8bd7-a682-4cf9-9f79-7615324b3cef) > > ![Image](https://github.com/user-attachments/assets/b2addc1a-6a70-47cc-85c5-ae3085254cff) > > GAMMA:(0,2250,0,500) isce:(0,0,1685,530) I find the tutorial on this site([https://nbviewer.org/github/insarlab/MiaplPy_notebooks/blob/main/miaplpyApp.ipynb], pre-processed in isce. Comparing the tutorial jupyter output(isce) and the sample dataset (GAMMA), it...

> I have the following version installed in my miaplpy conda environment: scipy==1.10.1; numpy==1.23.1 > > I am still experiencing extremely slow phase_linking. Are the version listed above perhaps still...