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FORS: fault-adaptive optimized routing and scheduling for DAQ networks
Data acquisition (DAQ) networks, widely used in scientific research and industrial applications, are composed of numerous interconnected servers, exchanging substantial data volumes produced by large scientific instruments. One traffic matrix generally used in such networks is the all-to-all collective exchange, which demands substantial network resources, making network failures particularly challenging to mitigate. If not mitigated, the effects of network failures severely hamper the performance of the DAQ network, potentially leading to the loss of valuable experimental data. In the context of DAQ networks using a fat-tree topology, we propose FORS: a scheduling and associated routing solution to support the all-to-all collective exchange under network failures. FORS optimizes bandwidth utilization in the face of any failure scenarios, ensuring robust performance compared to the existing approaches. We propose an algorithm to solve the scheduling. For the routing, we design an algorithm for simple failure scenarios, along with a linear programming model to address more complex failure scenarios. We validate our proposed solution using a real-world DAQ network as a case study. Results demonstrate significant performance degradation in existing approaches and FORS’ consistent ability to achieve higher throughput across various failure scenarios
Performance evaluation of the SPES FEBIAD ion source
SPES (Selective Production of Exotic Species) is the Radioactive Ion Beam (RIB) facility that is currently in the installation phase at the Istituto Nazionale di Fisica Nucleare in the Laboratori Nazionali di Legnaro (LNL-INFN). The main purpose of the facility is to deliver neutron-rich radioactive beams with a range of mass between 60 and 160 amu produced as fission products originated within a Uranium Carbide (UCx) target impinged by high energy protons (40–70 MeV). In the last few years, the SPES group and their collaborators have focused on multiple aspects: development of various ISOL targets, ion sources, a high-power beam dump, versatile Front-End designs, primary proton beam and RIB diagnostics, design of beam optic components, and remote target handling. The development and optimization of ionization sources represents one of the most important R&D; activities. The collaboration between SPES and ISOLDE (CERN) groups has enabled the evaluation of the performances of a novel FEBIAD ion source taking advantage of the ISOLDE off-line Front-End. In this paper, the results of efficiency and transversal emittance measurements of the new SPES FEBIAD ion source are presented and discussed. Particular attention is dedicated to the description of the experimental setup and to the comparison of experimental data with simulation to promote the reproducibility of the experimental tests with other types of sources
NA60+/DiCE: study of rare probes of the Quark-Gluon Plasma at SPS energies
We propose a new fixed-target experiment, NA60+/DiCE (Dilepton and Charm Experiment), for the study of electromagnetic and hard probes of the Quark-Gluon Plasma (QGP) in heavy-ion collisions at the CERN SPS. The experiment aims at performing measurements of the dimuon spectrum from threshold up to the charmonium region, of hadronic decays of charm hadrons, and of strange hadrons and hypernuclei. It is based on a muon spectrometer, which includes the MNP33 dipole magnet and six planes of tracking detectors, coupled to a vertex spectrometer, equipped with five planes of Si MAPS immersed in the dipole field of the MEP48 magnet. The collision energies range from \,GeV ( A\,GeV) to the top SPS energy (\,GeV, A\,GeV). High luminosity is an essential requirement for the experiment, which needs to collect at each energy up to 10 Pb ions incident on a 15\% interaction probability Pb target. Corresponding data taking periods, at the same energy per nucleon, with a proton beam incident on various nuclear targets and a similar integrated luminosity per nucleon-nucleon collision, are also needed. This document presents the physics program, the experimental set-up including integration and radio-protection studies, the beam requirements and the expected physics performance. An evaluation of the costs, of the sharing of responsibilities among the participating institutes, and of the construction and running timeline are also presented
Update to the Addendum SPSC-P-330-ADD-12: A Low-Energy Beamline at the SPS H2
This document presents updates to the initial addendum related to the Low-Energy Beamline initiative at SPS H2 (SPSC-P-330-ADD-12). Following a concise overview of the project, it delivers new information since the submission of the prior SPSC documents
Cérémonie de remise des prix, 14eme CineGlobe, Festival de Film au CERN
Projections des films vainqueurs CineGlobe 2025. Point culminant du festival, la cérémonie de remise des prix célèbre les lauréat·e·s de la compétition internationale de courts métrages scientifiques “Entrelacés”. Fictions, documentaires, jeunesse, œuvres immersives : une sélection d’œuvres du monde entier, au croisement de la science, de l’art et de la société. 8 prix seront décernés: Prix du jury : Fiction, Documentaire, Jeunesse, Immersif; Prix du public : Fiction, Documentaire, Jeunesse, Immersi
Muon Response in Projective Geometry Configurations of the ATLAS Tile Calorimeter Test Beam
The Tile Calorimeter, the central hadronic calorimeter of the ATLAS experiment, is in the process of being upgraded for the upcoming High Luminosity – Large Hadron Collider (HL-LHC). The Tile Calorimeter test beam set-up in the North Experiment Area at CERN Super Proton Synchrotron is used to test electronics and software for the HL-LHC upgrade of the calorimeter. This study aims to show, quantitatively, the muon tagging capability of the upgraded calorimeter. This information will be used in the first level trigger. Comparisons with the legacy readout will be shown. In addition, energy loss per path length (dE/dx) distributions have been measured using beams of muons. The analysis has been performed with the different photomultiplier gains for each radial layer of the calorimeter. Finally, the setup has been simulated using Geant 4 Monte-Carlo, and comparisons of data and Monte-Carlo simulations will be presented
A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps
A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the -jet, -jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for -jets using data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the b-jet, c-jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for b-jets using data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the -jet, -jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for -jets using data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks