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timbaboon • today at 5:06 PM • 4 replies • view on HN

Man, when I was doing my PhD at CERN the most far out thing that we were generally allowed to use was boosted decision trees :) getting anything other than that approved for any Higgs-related analysis was… not a thing.


Replies

blueplanet200 • today at 5:39 PM

Using neural nets for signal background separation was pretty standard in ~2012 when the Higgs discovery was published. Was also pretty standard for CDF + DZero papers that came out before the LHC turned on.

https://arxiv.org/abs/1207.7214 - The original ATLAS Higgs discovery paper uses neural nets to identify photons. It also uses a neural net b-tagger to improve the H->WW signal to noise ratio.

https://arxiv.org/abs/1303.0763 - used neural nets extra tt+jets noise https://arxiv.org/abs/1503.05066 - used neural nets for signal/background separation.

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kedosprisma • today at 8:22 PM

We surely came a long way since then. I recently finished my master thesis on self-supervised foundation models for jets :)

KeplerBoy • today at 5:39 PM

You needed approval to try different methods for data analysis?

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