Try using the `hope` framework to optimize parts of the code.

hope is a python package for runtime compilation of Python code into C/C++ code. We can potentially speed up some methods, especially stuff that is associated with Likelihood evaluations and get_detector_response.

• Identify parts of the code that could benefit from those adaptations
• Refactor functions so that it can be compiled by hope (see http://hope.readthedocs.io/en/latest/lang.html)
• Do profiling runs to see how much we gain by implementing hope.

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