6 papers
Communicating Likelihoods with Normalising Flows
Jack Y. Araz, Anja Beck, Méril Reboud +2
We present a machine-learning-based workflow to model an unbinned likelihood from its samples. A key advancement over existing approaches is the validation of the learned likelihoo…
Constraining and physics beyond the Standard Model from exclusive (semi)leptonic charm decays
Carolina Bolognani, Méril Reboud, Danny van Dyk +1
We study the available data on exclusive leptonic and semileptonic decays within the Standard Model and beyond. Our analysis accounts for theory correlations betwee…
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…
Analysis of the resonance in line with unitarity and analyticity constraints
Christoph Hanhart, Stephan Kürten, Méril Reboud +1
We study the inclusive and exclusive cross sections of for center-of-mass energies between 3.70 GeV and 3.83 GeV to infer the mass, width, and couplings…
Maximising the physics potential of decays
Alexander Mclean Marshall, Michael Andrew McCann, Mitesh Patel +3
We present a method that maximises the experimental sensitivity to new physics contributions in decays. This method relies on performing an unbinned maximum l…
Testable Likelihoods for Beyond-the-Standard Model Fits
Anja Beck, Méril Reboud, Danny van Dyk
Studying potential BSM effects at the precision frontier requires accurate transfer of information from low-energy measurements to high-energy BSM models. We propose to use normali…