Hi @frowdow, the qrange and the outseg controls different parts of the plotting. You can always see mode details about the methods you are using in a notebook adding a new cell with a ? after the name of the method, for example:
hdata.q_transform?
will give you all the options for the q_transform method. While outseg controls the segment for output (so it’s a way to zoom in the x axis), the qrange control the range of Qs to scan. Both parameters need to be set appropriately. For BBH the interval of time of interest is much shorter than the one used for the BNS in the example, so the segment of time to be plotted can be shorter. The range of the Q values has to be chosed differently. As you can see e.g. in slide 8 of this presentation, the Q value determine the shape of the tiles in the spectrogram. For BNS, the signal is long and many cicles can be recovered so you need high Q values (tiles broad in time and thin in frequency). A BBH stays in the frequency band detectable only shortly so it is better to chose low Q values (tiles thin in time and large in frequency) in order to have tiles that capture small intervals of time allowing to highlight the variations in the signal happening in a short time range.
Hope it’s clearer now 