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Currently, pycbc_multi_inspiral applies the sngl_snr_threshold (when there is more than 1 IFO) by requiring the threshold to be exceeded in at least 2 IFOs
It is hard-coded here and you get to that line from here.
If I recall correctly, the old code used to apply the cut in the two most sensitive IFOs, when more than 2 IFOs were present in the worfklow.
I don't think I mind dropping "most sensitive" (sensitivity does not imply being more/less glitchy) but we should apply the cut only with 3 or more IFOs.
The text was updated successfully, but these errors were encountered:
This is an optimization choice, trading computing cost for sensitivity. I should review my own thesis on this, but perhaps it would be better to do some measurements of cost vs threshold method?
Currently,
pycbc_multi_inspiral
applies thesngl_snr_threshold
(when there is more than 1 IFO) by requiring the threshold to be exceeded in at least 2 IFOsI don't think I mind dropping "most sensitive" (sensitivity does not imply being more/less glitchy) but we should apply the cut only with 3 or more IFOs.
The text was updated successfully, but these errors were encountered: