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We've seen that reducing the sample rate from 2048 Hz to 512 Hz improves our sensitivity at lower masses. This opens up a few questions/experiments to run:
- What happens if we keep 2048 Hz sampling, but quadruple the length of the convolutions?
- Follow-up ideas from Phil: shrink the number of layers in our network, downsample after the first set of convolutions, have parallel sets of convolutions with different lengths that get combined at the end
- Can we lower the sample rate and extend the kernel length?
- With a longer kernel length, we likely need a longer integration length to properly recover event time, which incurs latency. How well do we do if we don't integrate our output?
- What does our sensitivity look like at mass bins outside the four that we usually look at?
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