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Analysis code for the research paper "Convolutional neural networks: a magic bullet for gravitational-wave detection?"

License: GNU General Public License v3.0

Python 100.00%

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magic-bullet's Issues

Data generation

Dear authors,

I'm trying to generate data to reproduce your results in the paper and to produce
my own results using alternative ML models. For that I'm using ggwd
and I have doubts:

  1. In the paper you say that training data is composed of ~ 30k
    examples, each containing 8 sec with a sampling rate of ~2k Hz
    (after down sampling the original data). With these numbers
    the total number of samples for training is ~ 30k2k8
    Is this correct ?

  2. The examples are got taking randomly GPS times
    with ggwd (in the case of signals a waveform is injected on top).
    Then for training, did you just add all of them from the hdf5
    file produced by ggwd (the 30k examples) ?

If so, is it not an issue that in this way the time in the
training set is not continuous ?

Thanks a lot !!

All the best,
Roberto

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