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Analysis and Grading of the Test Performance of PS Modules for the CMS Phase-II Outer Tracker Upgrade
No full textThe Outer Tracker detector of the Compact Muon Solenoid (CMS) experiment provides information about the trajectory of charged particles produced in proton-proton collisions at the Large Hadron Collider (LHC). During the High Luminosity LHC upgrade, scheduled for the late 2020s, the Outer Tracker will be replaced with new modules capable of transmitting data to the L1 Trigger. These modules are being assembled at several facilities around the world, including Fermilab, necessitating coordinated standards of module quality. Here I discuss the development of POTATO (Phase-II Outer Tracker Analyzer of Test Outputs), a C++ software which provides a standardized procedure for analyzing and grading test results of the Outer Tracker modules. The particular focus of this paper is on the analysis and grading of the PS (pixel-strip) modules in POTATO
Anomaly detection for the CMS Pixel Barrel Data Quality with Machine Learning models
No full textCMS Offline Data Quality relies on the human inspection of hundreds of histograms, to classify data as Good or Bad
for physics analyses. However, this process is prone to human error, such as oversights, misinterpretations, or
subjective assessments. Additionally, the GUI which collects the histograms, provides an integrated view across all
the run (hours of data-taking), making it difficult to spot short and localized errors.
In 2024, CMS has deployed the DIALS (Data Inspector for Anomalous Luminosity Sections) platform, a database
storing histograms per Luminosity Section (LS, 23 seconds of data-taking) with a GUI. With LS-level data, it is now
possible to complement the human checks with Machine Learning (ML): this approach allows the automatization with
ML models and enables data quality checks at LS-level.
AutoEncoder ML models developed for the CMS Pixel Barrel have successfully identified short anomalies (about 1
minute) hidden within hours of data, which were previously missed by the human inspection. These LS with
anomalies in the Pixel Barrel (with a significant effect on Tracking) have been discarded, improving the overall data
quality, with a minimal impact on the integrated luminosity.
Integrating ML models into the Data Quality workflow has significantly improved anomaly detection, resulting in
more effective and reliable data certification during Run 3
Proton beam delivery study for the NA60+ experiment in the H8 beamline at the CERN SPS North Area
No full textPre-production modules for the CMS Outer Tracker in Bari
No full textPre-production modules for the CMS Outer Tracker are being assembled all around the world. Here's an example of 4 Pixel-Strip modules assembled in Bari, Italy
SND@HL-LHC, Scattering and Neutrino Detector in Run 4 of the LHC
No full textAfter the successful operation of the first three years of Run3 and the observation of collider neutrino interactions of different flavours, the SND@LHC Collaboration plans to continue data collection in Run4. To cope with the increase in luminosity, detector upgrades are proposed. A silicon vertex detector, using decommissioned CMS Tracker modules, will replace emulsion films to enable efficient operation. The HCAL’s sensitive layers will also incorporate CMS Tracker modules. To fully exploit the detector’s resolution, we propose magnetizing the iron in the HCAL, allowing the precise measurement of muon momentum and charge, thereby enabling neutrino-antineutrino distinction. Fast timing detector layers will be installed to facilitate triggering and potentially send a signal to ATLAS for tagging the charm quark that generated the neutrino. The pseudorapidity range covered by SND@LHC enables the identification of all three neutrino flavors and complements the range covered by FASER. Most of the members in the SND@LHC Collaboration are also members of the SHiP Collaboration and are responsible for the design and construction of the neutrino detector of SHiP. The experience gained with the continued operation and improvement of the SND@LHC detector during HL-LHC is therefore directly beneficial to SHiP. A joint SHiP neutrino detector working group has been established to ensure the sharing of knowhow and software tools
A Quantum Leap in Quantum Information: Quantum computing, simulation, communication and metrology with quantum optical platforms
No full textOn a microscopic scale, our world is governed by quantum physics. Beyond the fundamental questions and 'mysteries' of quantum mechanics, the ability to control this microscopic realm opens up exciting opportunities for new applications and quantum technologies—potentially more powerful than their classical counterparts. As we celebrate 2025 as the International Year of Quantum Science and Technology, marking 100 years since the formulation of quantum mechanics by Heisenberg and Schrödinger, we also commemorate three decades of progress in quantum information and quantum computing. This talk will provide an overview of quantum information from both conceptual and historical perspectives. We will explore the implementation and applications of quantum computers and simulators, quantum networks, and quantum metrology. Our primary focus will be on quantum optical systems, such as atoms and ions manipulated by laser light—prototypical examples of engineered quantum many-body systems. These systems can be controlled at the level of individual quanta, enabling precise manipulation, engineering, and distribution of quantum entanglement. Topics will include trapped ions as universal quantum processors, as well as digital and analog simulations of strongly correlated quantum matter using Rydberg atoms in tweezer arrays.We will highlight current research examples, such as quantum simulations of lattice gauge theories, the characterization and verification of quantum devices through Hamiltonian and Liouvillian learning, and the development of quantum algorithms for optimizing entanglement in quantum sensors.
Bio: Peter Zoller is a theoretical physicist and works in the field of quantum optics and quantum information. The focus of his research is on forming a bridge from quantum optics to quantum information and solid-state physics.As a theorist, Peter Zoller has written essential work on the interaction of laser light and atoms. In addition to fundamental developments in quantum optics, he has been able to form bridges to quantum information and solid-state physics. A model of a quantum computer proposed by him and the Spanish physicist Ignacio Cirac in 1995 is based on the interaction of lasers with cold ions stored in an electromagnetic trap. The main features of this idea have been implemented experimentally in recent years. It is one of the most promising concepts for the development of a scalable quantum computer.Along with his research colleagues, Peter Zoller has also established a link between quantum physics and solid-state physics. One of his suggestions has been to build a quantum simulator with cold atoms.
Coffee and tea served at 16:00</p
Operational experience from the Spanish CMS Analysis Facility at CIEMAT
No full textThe anticipated surge in data volumes generated by the LHC in the coming years, especially during the High-Luminosity LHC phase, will reshape how physicists conduct their analysis. This necessitates a shift in programming paradigms and techniques for the final stages of analysis. As a result, there is a growing recognition within the community of the need for new computing infrastructures tailored to these evolving demands. To meet this need, the recently established Analysis Facility at the CIEMAT institute is already providing crucial support to the local analysis community. This contribution will describe the diverse resources and functionalities provided by the new facility, its expansion to complementary resources also available at CIEMAT, as well as the important feedback gained from the operational experience by the users
Exact Three-Point Functions in Superconformal Field Theories: Integrability vs. Localization
No full textWe propose an integrability approach for planar three-point functions at finite coupling in superconformal field theories obtained as orbifolds of super Yang-Mills (SYM). Generalizing the hexagon formalism for SYM, we reproduce the structure constants of Coulomb branch operators, previously obtained by supersymmetric localization, as exact functions of the 't Hooft coupling. Our analysis explains the common physical origin of Fredholm kernels in integrability and localization, and hints at structures after the resummation in the hexagon formalism
Fast Jet Finding in Julia
No full textJet reconstruction remains a critical task in the analysis of data from HEP colliders. We describe in this paper a new, highly performant, Julia package for jet reconstruction, JetReconstruction.jl, which integrates into the growing ecosystem of Julia packages for HEP. With this package users can run sequential reconstruction algorithms for jets. In particular, for LHC events, the Anti-kT, Cambridge/Aachen and Inclusive-kT algorithms can be used. For FC-Cee studies the use of alternative algorithms such as the Generalised kT for e+e− and Durham are also supported.The performance of the core algorithms is better than Fastjet’s C++ implementation, for typical LHC and FCCee events, thanks to the Julia compiler’s exploitation of single-instruction-multiple-data (SIMD), as well as ergonomic compact data layouts.The full reconstruction history is made available, allowing inclusive and exclusive jets to be retrieved. The package also provides the means to visualise the reconstruction. Substructure algorithms have been added that allow advanced analysis techniques to be employed. The package can read event data from EDM4hep files and reconstruct jets from these directly, opening the door to FCCee and other future collider studies in Julia.Jet reconstruction remains a critical task in the analysis of data from HEP colliders. We describe in this paper a new, highly performant, Julia package for jet reconstruction, JetReconstruction.jl, which integrates into the growing ecosystem of Julia packages for HEP. With this package users can run sequential reconstruction algorithms for jets. In particular, for LHC events, the Anti-, Cambridge/Aachen and Inclusive- algorithms can be used. For FCCee studies the use of alternative algorithms such as the Generalised for and Durham are also supported. The performance of the core algorithms is better than Fastjet's C++ implementation, for typical LHC and FCCee events, thanks to the Julia compiler's exploitation of single-instruction-multiple-data (SIMD), as well as ergonomic compact data layouts. The full reconstruction history is made available, allowing inclusive and exclusive jets to be retrieved. The package also provides the means to visualise the reconstruction. Substructure algorithms have been added that allow advanced analysis techniques to be employed. The package can read event data from EDM4hep files and reconstruct jets from these directly, opening the door to FCCee and other future collider studies in Julia