From the 1 of 454 linked papers with an AI index.
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Constructing model-agnostic likelihoods, a method for the reinterpretation of particle physics results
Lorenz Gärtner, Nikolai Hartmann, Lukas Heinrich +5
Experimental High Energy Physics has entered an era of precision measurements. However, measurements of many of the accessible processes assume that the final states' underlying ki…
PE-GAN: Prior Embedding GAN for PXD images at Belle II
Baran Hashemi, Nikolai Hartmann, Thomas Kuhr +2
The pixel vertex detector (PXD) is an essential part of the Belle II detector recording particle positions. Data from the PXD and other sensors allow us to reconstruct particle tra…
Publishing statistical models: Getting the most out of particle physics experiments
Kyle Cranmer, Sabine Kraml, Harrison B. Prosper +30
The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In…
Clustering of kinematic distributions with ClusterKinG
Jason Aebischer, Thomas Kuhr, Kilian Lieret
New Physics can manifest itself in kinematic distributions of particle decays. The parameter space defining the shape of such distributions can be large which is challenging for bo…
Formulae for the Analysis of the Flavor-Tagged Decay B^0_s --> Jpsi phi
F. Azfar, J. Boudreau, N. Bousson +13
Differential rates in the decay B^0_s --> Jpsi phi, with phi --> K^+K^- and Jpsi --> mu^+ mu^- are sensitive to the CP-violation phase beta_s, predicted to be very small in the sta…