Hi, I am recently dealing with some data analysis problems, which need to obtain glitch data. But it seems that some problems occur in the data I am dealing with.
How I get data:
There’s a csv file named ‘trainingset_v1d1_metadata.csv’, which recorded glitch event time, start time, duration, label, and other information.
I use the event time of glitches, and gwpy function get_urls to download the GWOSC files that contain those glitches.
And then select the time series from the files.
It seems that csv files’ information is not reliable:
Some glitches falls into the data constructed with nan points, or to say the data quality of some glitches is 0( data quality flag is a 0 to 127 value, representing 7 channels’ situations). The glitches with the label “helix” in O1, L1 are all in nan segments.
Some glitches are not visible in start time to start time + duration, but in start time to start time + 2* duration. I have no idea what’s going on here.
Can any familiar with Gravity Spy tell me how they obtain the glitch time domain data? And are there any other files except for one obtained by get_urls( of gwpy) that contains more information (some kind of raw data, IDK)?
@BarryG You can see lists of times with available data via the Timeline App.
For example, for O3a, see the link below.
Times outside of these segment lists do not have public data available, because the detectors were not in a good operating state. Unavailable times are represented as NaNs. My advice is that you should check the time of each glitch against this segment list, before trying to download the data, and ignore any glitches where data are not available.