Berkeley Law

This symposium Article theorizes and assesses transnational legal ordering of fiduciary law. Fiduciary law imposes legally enforceable duties on those entrusted with discretionary authority over the interests of others. The fiduciary law of a state may apply to fiduciary relationships having a transnational (or even global) scope. Fiduciary norms themselves are transnational to the extent that they settle as governing legal norms in ways that transcend and permeate state boundaries. Curiously, however, fiduciary legal theory and transnational legal theory have yet to meet. This symposium takes the first steps towards a comprehensive theory of transnational fiduciary law. To assess transnational legal ordering of fiduciary law, one must study the extent of normative settlement across state boundaries. This can be done in terms of a meta concept of fiduciary law involving a transnational body of law, or in terms of the processes that give rise to discrete domains of fiduciary law to address particular problems as understood by relevant actors. Comparative legal analysis is critical for assessing the extent of concordance and divergence in the development and practice of fiduciary law across states. This Article introduces symposium articles that assess transnational fiduciary law as a meta concept; transnational legal ordering of fiduciary law in discrete domains; and comparative fiduciary law. Together, these articles suggest that processes of transnational legal ordering can give rise to transnational fiduciary law and the potential development of discrete transnational legal orders that transcend and permeate nation-states.

[No abstract]

The need for large-scale production of highly accurate simulated event samples for the extensive physics programme of the ATLAS experiment at the Large Hadron Collider motivates the development of new simulation techniques. Building on the recent success of deep learning algorithms, variational autoencoders and generative adversarial networks are investigated for modelling the response of the central region of the ATLAS electromagnetic calorimeter to photons of various energies. The properties of synthesised showers are compared with showers from a full detector simulation using geant4. Both variational autoencoders and generative adversarial networks are capable of quickly simulating electromagnetic showers with correct total energies and stochasticity, though the modelling of some shower shape distributions requires more refinement. This feasibility study demonstrates the potential of using such algorithms for ATLAS fast calorimeter simulation in the future and shows a possible way to complement current simulation techniques.

Charged particle reconstruction in the presence of many simultaneous proton–proton (pp) collisions in the LHC is a challenging task for the ATLAS experiment’s reconstruction software due to the combinatorial complexity. This paper describes the major changes made to adapt the software to reconstruct high-activity collisions with an average of 50 or more simultaneous pp interactions per bunch crossing (pile-up) promptly using the available computing resources. The performance of the key components of the track reconstruction chain and its dependence on pile-up are evaluated, and the improvement achieved compared to the previous software version is quantified. For events with an average of 60pp collisions per bunch crossing, the updated track reconstruction is twice as fast as the previous version, without significant reduction in reconstruction efficiency and while reducing the rate of combinatorial fake tracks by more than a factor two.