Closed Radonirinaunimi closed 3 years ago
The total ERF value from the enhanced should be at most equal to 0.172. This indicates the GA is trapped in some local minimum.
Or that the GAN quality is insufficient, right?
Or that the GAN quality is insufficient, right?
I don't think this is the case here since I repeated the exercise with real fit instead of synthetic, and similar handicaps arise. Also, if that is the case, the GA should always be able to find the exact same combination as the ones from the prior.
@scarrazza Since I guess that we will be using a N3FIT (or potential candidate NNPDF4.0) fit with 1000 MC replicas for the paper, should I start generating the fit? If so, which runcard should I use? I am currently using the one that Lambri generated but that is not what we are going to use, right?
I think it is fine for now to use the Lambri one, partly because Galileo is down... once it is back (and the candidate 4.0 is completed) we can try to run a 1000rep one.
I think it is fine for now to use the Lambri one, partly because Galileo is down... once it is back (and the candidate 4.0 is completed) we can try to run a 1000rep one.
Thanks! I was hoping that this could be run in the meantime. But you are definitely correct, since Galileo is still down, we would have no option than to wait.
Just came back! I'll put 1000 replicas to run today so they might be done by Monday, since right now there is nothing from NNPDF to run.
Just came back! I'll put 1000 replicas to run today so they might be done by Monday, since right now there is nothing from NNPDF to run.
Thanks! That would be awesome :100:
The GA (or the way in which the GA has been parametrized) is performing bad when the samples are drawn from a larger enhanced set. This was not noticed previously when the prior contained 75 MC replicas and the GANs generated 25 synthetic replicas. This is a combinatorial issue.
The total ERF value from the enhanced should be at most equal to 0.172. This indicates the GA is trapped in some local minimum.