In

H1_psd = H1_psd_data.psd(fftlength=duration, overlap=0, window=("tukey", psd_alpha), method="median”)

what’s the advantage to choose Turkey window? Or is it just a randomly decision for the example?

Is there any benefit to determine the “reference_frequency=100” in the directory of argument in waveform? It seems that most examples in google pages use 50.

From Lupin:

Tuto 2.1

ts = pycbc.noise.noise_from_psd(data_length*sample_rate, delta_t, psd, seed=127)

Is there any reason to specify the seed with 127?

Can you explain why the expected SNR rises with mass, leaks, and then falls at high mass? (Challenge Q2)
I expect that the signal generated from the merger event with heavier masses can have larger power and induce a stronger signal.
But I cannot imagine why SNR falls at high mass (close to 200/200 ?).

Tutorial 1.2 has the phrase "This doesn't look correct at all!" and "This looks a little more like what we expect for the amplitude spectral density of a gravitational-wave detector."

I think that without further explanation, it's not obvious to a person that sees the graph for the first time what is "not correct at all" or why after windowing, the data looks better. I think we should add what specific parts of the graph don't look correct and why, and what should we expect and why. Otherwise let's remove those?

I'd be happy to rephrase but tbh I don't know why the graph doesn't look good. 🤷‍♂️

Tuto 1.4:

I obtained the following (error ??) message when I performed the installation of PYCBC 1.18.0 and LALsuit 6.82 although I can successfully run all the codes in each code cell. Should we take care it?
—

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.8.0 requires tf-estimator-nightly==2.8.0.dev2021122109, which is not installed.
tensorflow 2.8.0 requires numpy>=1.20, but you have numpy 1.19.5 which is incompatible.
datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.
albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.

Installing bilby=1.0.4 from pip downloads dynesty=1.2.2, which is incompatible with bilby=1.0.4. This needs to be changed wherever bilby is used, by adding an extra constraint dynesty=1.0.0. Also needs to change in the environment yaml files if applicable.

The lightweight environment file for linux is just called environment.yml right now. Should we be renaming this? Also, a note about the location of the lightweight environment files should be added into the "Setting up environments" page.