Observation of Collider Muon Neutrinos with the SND@LHC Experiment

We report the direct observation of muon neutrino interactions with the SND@LHC detector at the Large Hadron Collider. A dataset of proton-proton collisions at √ s = 13.6 TeV collected by SND@LHC in 2022 is used, corresponding to an integrated luminosity of 36.8 fb − 1 . The search is based on information from the active electronic components of the SND@LHC detector, which covers the pseudorapidity region of 7.2 < η < 8.4 , inaccessible to the other experiments at the collider. Muon neutrino candidates are identified through their charged-current interaction topology, with a track propagating through the entire length of the muon detector. After selection cuts, 8 ν μ interaction candidate events remain with an estimated background of 0.086 events, yielding a significance of about 7 standard deviations for the observed ν μ signal

Enabling product customisation in manufacturing clouds

Cloud manufacturing has emerged as new manufacturing paradigm providing a service-oriented approach to integrate distributed manufacturing resources and to utilise available manufacturing capabilities for collaborative and networked production. With increasing demand for complex customer-oriented products, cloud manufacturing presents provides a promising solution to address the challenges involved in customised specification and production across the supply chain. In this chapter, a concept and architecture is proposed to enable the dynamic customisation of products based on the availabilities of the production network from the cloud manufacturing concept of Manufacturing-as-a-Service (MaaS). An overview of the MaaS concept and architecture is described, which include the core components for product configuration, manufacturing service management and the integration of factory-IT systems. In addition, the proposed manufacturing service description used to enable the provision of customised options is presented. Finally, a case study is presented which demonstrates the feasibility of MaaS concept for customised products. This is followed by an evaluation of the implemented cloud manufacturing platform provided from an industrial perspective