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To Do
Peter Vaillancourt edited this page May 18, 2018
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7 revisions
- Set a modulation index threshold
- Produce dynamic spectrum plots (with guiding dispersion sweep lines) for the best candidates
- This code is already written, just implement in pipeline
- Updated pipeline design requirements
- Some basic documentation
- Re-write modulation index calculation in python
-
dmean
- either obtain from .singlepulse files or calculate
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- Error checking of input parameters
- i.e. check that the ranges of the inputs to
prepsubband
make sense instead of letting it segfault
- i.e. check that the ranges of the inputs to
- Make a new and improved container
- install PyQT5 via conda
- other small changes
- Should be using python3
- prepare for using machine learning algorithm
- Revisit decimation once we have a full-resolution version working