A deep neural network for simultaneous estimation [...] | AI & Physics | Nadezda Chernyavskaya

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A deep neural network for simultaneous estimation of b quark energy and resolution for the CMS experiment | Nadezda Chernyavskaya – Research Scientist & Data Scientist, ETH Zurich and CERN CMS Collaboration

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Great question from the audience on this. That is probably a valid reason to deploy reconstruction units after anomaly detectors trained on monte carlo data. That would ensure that the data that's missed from monte carlo assumptions is picked up by the anomaly detector and can then be treated as required, maybe even to reconstruct it directly to evaluate correlations with jets from monte carlo simulations. Definitely something to think about!

pratikjawahar