Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Questions related to reduced sample rate #137

Open
5 tasks
wbenoit26 opened this issue Apr 19, 2024 · 1 comment
Open
5 tasks

Questions related to reduced sample rate #137

wbenoit26 opened this issue Apr 19, 2024 · 1 comment
Labels
question Further information is requested

Comments

@wbenoit26
Copy link
Contributor

wbenoit26 commented Apr 19, 2024

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?
@EthanMarx
Copy link
Contributor

EthanMarx commented Apr 22, 2024

Thanks for opening this up, good to keep track of this.

I was unable to reproduce this result using the new repository (i.e. this one) and the new rejection sampling validation scheme.
The results are on wandb here. You can see that the 2048Hz run is handily outperforming the 512Hz run in terms of validation score. Would be curious for you to try to do this yourself and catch if I went wrong anywhere

@wbenoit26 wbenoit26 added the question Further information is requested label Sep 4, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
question Further information is requested
Projects
None yet
Development

No branches or pull requests

2 participants