Publications (11)
A framework and implementation for data-driven trigger efficiency estimation at LHCb
Johannes Albrecht, James Andrew Gooding, Maxim Lysenko +3
Estimations of trigger efficiencies are essential to modern particle physics analyses. A data-driven method provides a framework in which to estimate these efficiencies from the pr…
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
William Sutcliffe, Marta Calvi, Simone Capelli +5
The growing luminosity frontier at the Large Hadron Collider is challenging the reconstruction and analysis of particle collision events. Increased particle multiplicities are stra…
A general effective field theory description of lepton universality ratios
Gino Isidori, Davide Lancierini, Abhijit Mathad +3
We construct an expression for a general lepton flavour universality (LFU) ratio, , in decays in terms of a series of hadronic quantities which can be treat…
Efficient description of experimental effects in amplitude analyses
Abhijit Mathad, Daniel O'Hanlon, Anton Poluektov +1
Amplitude analysis is a powerful technique to study hadron decays. A significant complication in these analyses is the treatment of instrumental effects, such as background and sel…
Minimising Event Size, Maximising Physics: Inclusive Particle Isolation for LHCb's Run 3
Marta Calvi, Tommaso Fulghesu, George Hallett +12
The Run 3 of the LHC brings unprecedented luminosity and a surge in data volume to the LHCb detector, necessitating a critical reduction in the size of each reconstructed event wit…
Probing effects of new physics in decays
Martina Ferrillo, Abhijit Mathad, Patrick Owen +1
We present, for the first time, the six-fold differential decay density expression for , taking into account the polarisation of the bary…