Can we get better parameter estimation results when we use the data with 16k sample rate than using the data with 4k sample rate? Because it seems we include more data points
Are you using the public or affiliated data? Something interesting I saw when building a dataset for 30 days through the public mode is that in all channels from 2khz to 16 you have a lot of missing chunks of time segments and also within the time segments provided there’s always small bleeps of no data. I am not sure about the official data but I suppose you could use raw data like CAT1,2 to boost parameter estimation. The cost there would be noise adding to the uncertainties and false triggers I presume.
Hi @DicongLiang Thank you for your question.
In general, the right sampling rate to use depends on the frequency content of the astrophysical signal. Higher mass sources (such as 30 solar mass black holes) have a lower merger frequency, so they only have signal content at lower frequencies. For these sources, using a 4 kHz sampling rate is fine.
On the other hand, lower mass sources (like binary neutron stars) do have some frequency content at high frequencies, so it is important to use high sampling rate data. The 4 kHz data are only reliable for signals up to about 1700 Hz. If your templates include frequency content above 1700 Hz, you should use the higher sampling rate data.
Good luck!
Got it. Thank you for your reply.