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Performance evaluation of a new inner-station TGC detector for the ATLAS experiment at HL-LHC
The TGC detectors installed in the endcap inner stations of the ATLAS detector will be upgraded from the doublet to triplet chambers for an improved selectivity of the first-level muon trigger. The noise level performance and cosmic muon detection capability were evaluated for three triplet chambers from the initial series production. The results met the criteria, and the three chambers were installed in December 2024 as pilot installation for the HL-LHC
Characterizing the bulk properties of photonuclear collisions with ATLAS measurements of inclusive and strange particle production
Ultraperipheral collisions of relativistic heavy ion beams lead to a diverse set of photon-nucleus (photonuclear) interactions. Measurements of particles produced in photonuclear reactions can shed light on the QCD dynamics of these novel, extremely asymmetric colliding systems, with energies between those available at RHIC and the LHC. Previous studies by ATLAS have characterized photonuclear collisions through inclusive charged hadron measurements, and have observed elliptic and triangular flow coefficients in these events. This poster presents a measurement of charged hadron production and, for the first time, measurements of identified hadron yields in high-multiplicity photonuclear collisions using 5.02 TeV Pb+Pb data collected in 2018 by ATLAS, with a dedicated photo-nuclear event trigger. The yields of charged hadrons and, for the first time, identified strange hadrons (, , and ) are shown differentially in rapidity, transverse momentum, and event multiplicity. These new results shed light on potential QGP formation in ultraperipheral collisions via observables sensitive to radial flow, enhanced baryon-to-meson ratios, and strangeness enhancement. These results are compared to 5.02 TeV p+Pb data collected by ATLAS in 2016, at the same event multiplicities. The results are also compared with calculations from DPMJET and hydrodynamic-based models predicting flow even in these ultraperipheral collisions
High-power performance studies of an S-band high-gradient accelerating cavity for medical applications
High-Gradient accelerating cavities are one of the main research lines in the development of compact linear accelerators. However, the operation of such accelerating cavities is currently limited by non-linear electromagnetic effects that are intensified at high electric fields, such as RF breakdowns, dark currents and radiation. A novel normal-conducting High Gradient S-band Backward Travelling Wave accelerating cavity for medical application (v = 0.38c) has been designed and constructed at CERN with a design gradient of 50 MV/m. In this paper, the high-power performance studies of this novel design carried out at the IFIC high-power laboratory are presented, as well as the analysis of the conditioning parameters in combination with numerical simulations
Improved Bounds and Global Fit of Flavor-Violating Charged Lepton Yukawa Couplings post LHC
Higgs couplings to charged leptons form an important measurement to understand not only the Standard Model (SM), but also physics Beyond Standard Models (BSM). In this work, we update the bounds on the Flavor-Violating (FV) Higgs couplings to charged leptons. We find that the bounds on the size of the couplings could range between . In fact, the direct constraints from LHC are much stronger than those inferred indirectly from rare decays in the - and - sector. We also match these bounds to the SM Effective Field Theory (SMEFT) and find lower limits on the scale of New Physics (NP). We find that the scale of NP ranges between TeV. We also present future projections for some upcoming experiments. We find that the current bounds on the couplings to - are stronger than all future projections
CS3 2025 - Cloud Storage Synchronization and Sharing
Since 2017, the cosmo sim web portal allows accessing and sharing the output of large, cosmological, hydro-dynamical simulations with a broad scientific community and contentiously grows in services and data which are made available. It is based on a multi-layer structure: a web portal, a job control layer, a computing cluster and a HPC storage system. The outer layer enables users to choose an object from the simulations. Objects can be selected by visually inspecting 2D maps of the simulation data, by performing highly compounded and elaborated queries or graphically by plotting arbitrary combinations of properties. It also allows users to receive related scientific data products by directly processing the raw simulation data on a remote computing cluster