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TECH2X Education and training meeting
TECH2X – Technology for Innovation and Entrepreneurship Excellence is a 2-year project coordinated by Esade ’s Rambla of Innovation, with partners from University of Bologna (Alma Mater Studiorum – Università di Bologna), inno.space – Design Factory Mannheim at Hochschule Mannheim, the METU Design Factory at Orta Doğu Teknik Üniversitesi / Middle East Technical University, CERN IdeaSquare – the innovation space at CERN, and Almacube , which aims to boost the innovation and entrepreneurial capacity of the consortium’s HEIs to foster deep tech talent and respond to the need to transition towards the 4th generation university model. The actions and activities in TECH2X are designed to strengthen innovation and entrepreneurship capacity at institutional level, fostering pathways between challenge-based innovation courses that are technology driven, and entrepreneurship capacity building to move forward promising projects. TECH2X also offers several initiatives to strengthen partnerships, aligning strategic interests to move deep-tech potential out of the laboratory and into an environment where it can be taken-up and applied by those most willing and capable of capturing its value. This meeting on the work package "Education and training for deep-tech innovation capacity building" aimed to improve the quality of tech-driven innovation education at HEIs. Training composes: i) educational courses for university students where they develop their entrepreneurial mindset working on tech-driven innovation projects; ii) training for academics responsible for designing and/or teaching such courses, and iii) academic researchers who provide the technologies and work with the students on the innovation projects
Small-Diameter Muon Drift Tube Detector Chambers (sMDT) BIS 1-6 for the ATLAS Phase-II Upgrade: Detector Performance Plots for Michigan Chambers.
Between January 2021 and September 2023, 102 sMDT chambers were produced at two sites—the University of Michigan and the Max Planck Institute for Physics (Munich)—and subsequently shipped to CERN for final validation. After ~3,600 stacked readout mezzanine cards were produced and QA-tested at the University of Würzburg, they were installed on the BIS1–6 chambers at CERN in 2025. This contribution presents performance results for the Michigan detectors with the final electronics at CERN BB5, covering gas tightness, electronic noise, muon detection efficiency, and spatial resolution. All graphs have been prepared for the poster and are ready for presentation at the LHCC Open Session and Poster Session on Monday, 17 November 2025
Photographs of the completed beryllium pipe workshop
Beryllium pipe workshop on the CERN Prévessin site, taken on 14 Novembe
Eigenfunctions of deformed Schrödinger equations
We study the spectral problems associated with the finite-difference operators , where is an arbitrary polynomial potential of degree . These systems can be regarded as a solvable deformation of the standard Schrödinger operators , and they arise naturally from the quantization of the Seiberg-Witten curve of four-dimensional, , SU() supersymmetric Yang-Mills theory. Using the open topological string/spectral theory correspondence, we construct exact, analytic eigenfunctions of , valid for arbitrary polynomial potentials and describing both bound and resonant states. Our solutions are entire in for generic values of the energy, and become -normalizable only at a discrete set of energies. An interesting feature of these Hamiltonians is the existence of special loci in the parameter space of the potential, the so-called Toda points. The eigenfunctions exhibit enhanced decay at these points, leading to spectral degeneracies for confining potentials and to a real energy spectrum for unbounded ones. Our results provide a rare example of a quantum-mechanical spectral problem that is exactly solvable, admitting explicit, analytic eigenfunctions for both bound and resonant states
Advancing Large-Scale Scientific Collaborations with Rucio
This article provides an overview of the data deluge observed and projected in the next decade in high-energy physics and related sciences, and how Rucio, a mature and modular scientific data management platform used by various scientific collaborations, is employed to manage these extensive datasets. The paper highlights Rucio’s key features, current deployments, and its role in facilitating scientific innovation across diverse domain
Prévessin Data Centre Powers Up
CERN’s state-of-the-art Prévessin Data Centre (PDC) is now operational, complementing CERN’s Meyrin Data Centre Tier-0 facility to provide additional and sustainable computing power to meet the needs of High-Luminosity LHC in 2029 (expected to be ten times greater than today). In 2019, it was decided to tender the design and construction of a new, modern, energy-efficient (PUE of ≤ 1.15) Data Centre with a total of 12 MW IT capacity spread across six IT rooms. As it stands, two out of six IT rooms are production ready with a combined 4MW of IT capacity, with the remaining to be commissioned in two phases over the next ten years. To begin, we will guide you through the commissioning of the Data Centre, with explanations of the various steps taken to equip the IT rooms. We will outline the acceptance process and the comprehensive trial operation tests which ensured a smooth transition into Operations and Maintenance (O&M;) mode. O&M; will be handled by Service Provider, EQUANS, in a collaborative partnership with the CERN IT department. This approach is the first of its kind at CERN and in this talk, we’ll delve into how the contract was established. We will finish by providing an overview of our progress in the first operational year with a look forward to scalable growth through the phased deployment of the remaining four IT rooms that will meet the anticipated need for physics computing into Run4
Status of the Geant4 models for nuclear de-excitation
The Geant4 hadronic physics sub-library includes an extended set of models for highand low-energy hadronic interactions. We report on recent developments in the Geant4 nuclear de-excitation module, which is used by many Geant4 models to simulate the de-excitation of nuclear recoils produced in nuclear reactions. These processes significantly influence hadronic shower shape and energy deposition. We present the structure of the de-excitation module, and compare Geant4 predictions with thin-target experimental data, using different Geant4 hadronic physics models. These comparisons are performed for Geant4 version 11.3, which was publicly released in December 2024