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License: MIT License
Extreme Value Theory for comparing periodograms: Optimizing future transiting exoplanet surveys
License: MIT License
Similar to the argument when noise is Gaussian, periodograms do not show huge trends, hence it is not needed. But if any trend is present, maybe using detrending will help.
Ofir mentions that delta_f is not constant when using the optimal frequency sampling, whereas it is constant in the code below, which seems incorrect. period
must be replaced with the inverse of the test frequency, so the duty cycle depends on the frequency.
The presence of checkConditions
inside evd
was done to ensure some things were as expected. It is a good idea to set it to True. However, it will be more beneficial if it is factored into a separate test script instead of in the evd
itself. Maybe some execution time will be saved.
Anyone wanting to use this code in Python somehow can still do it via the reticulate
library. But maybe a Python version will also be helpful. Might be very helpful!
Currently, almost everything is printed at every step, which makes it hard to debug. Instead, make printing optional.
Some internal, untidy tests were run. But dedicated testing scripts might be helpful in the longer run.
Our approach was slightly modified recently, so that must now reflect in the README.
But we want it to be calculated only on the detrended periodogram. Fix needed.
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