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CMS tracking performance in 2024
No full textThis note presents the results of comparisons between data and Monte Carlo simulated events for tracking-related reconstructed observables. The analysis is based on data collected during 13.6 TeV proton-proton collisions in 2024. Two categories of events are considered in the analysis: events selected with an unbiased trigger set, and events with topologies representative of the Drell-Yan process
Preclinical investigation of [Tb]Tb-DOTATATE and [Tb]Tb-DOTA-LM3 for tumor-targeted alpha therapy
No full textTerbium-149 is a short-lived α-particle emitter, potentially useful for tumor-targeted therapy. The aim of this study was to investigate terbium-149 in combination with the somatostatin receptor (SSTR) agonist DOTATATE and the SSTR antagonist DOTA-LM3. The radiopeptides were evaluated to compare their therapeutic efficacy in vitro and in vivo. Terbium-149 was produced at ISOLDE/CERN and chemically purified at the Paul Scherrer Institute. Radiolabeling of somatostatin analogues with [149Tb]TbCl3 was performed under standard labeling conditions at pH 4.5. Cell viability (MTT) and survival assays (colony forming) assays were performed after 16–18 h exposure of SSTR-positive AR42J rat pancreatic tumor cells to various activity concentrations of [149Tb]Tb-DOTATATE and [149Tb]Tb-DOTA-LM3. DNA double-strand breaks were determined using immunofluorescence imaging of γ-H2A.X and 53BP1. Therapy studies were performed with AR42J tumor-bearing mice injected with 1 × 5 MBq or 2 × 5 MBq of the respective radiopeptide. The tolerability of up to 40 MBq [149Tb]Tb-DOTATATE or 40 MBq [149Tb]Tb-DOTA-LM3 was assessed with regard to undesired effects to the bone marrow and kidneys in immunocompetent mice without tumors. The radiolabeling of peptides was achieved at molar activities of up to 20 MBq/nmol at ≥ 98% radiochemical purity. AR42J cell viability was reduced in an activity-dependent manner, with [149Tb]Tb-DOTA-LM3 being slightly more potent than [149Tb]Tb-DOTATATE (EC50: 0.5 vs. 1.2 kBq/mL). Both radiopeptides induced a similar number of γ-H2A.X and 53BP1 foci per nuclei, which indicated DNA damage in AR42J tumor cells. Injection of tumor-bearing mice with 1 × 5 MBq radiopeptide resulted in median survival times of 16.5 days and 19 days for [149Tb]Tb-DOTATATE and [149Tb]Tb-DOTA-LM3, respectively, as compared to only 8 days for untreated control mice. Application of 2 × 5 MBq of the radiopeptides further extended the median survival times to 30 days and 29 days, respectively. The blood cell counts and values for blood plasma biomarkers of treated mice without tumors were similar to those of untreated controls. Renal accumulation of [99mTc]Tc-DMSA was similar in all mice, indicating normal kidney function. 149Tb-based radiopeptides effectively reduced the viability of tumor cells in vitro as well as the tumor growth in mice without causing relevant adverse events, irrespective of whether the SSTR agonist or antagonist was employed. These data encourage further preclinical application of terbium-149 to evaluate its potential in combination with other tumor-targeting agents
CS3 2025 - Cloud Storage Synchronization and Sharing
No full textSeaTable is the world leading self-hosted no-code platform. SeaTable enables you to develop and build efficient business process in the shortest possible time. You can easily design your database structure, store any kind of data, define access rights for your team or externals and visualize your data with various charts. Automations help to streamline your work. Digitalization or creation of business processes can be done by everybody without writing one line of code.
In this presentation, I will give an overview of the improvements that happened in SeaTable in the last year
CS3 2025 - Cloud Storage Synchronization and Sharing
No full textIn an era where web search serves as a cornerstone driving the global digital economy, an open, impartial and transparently produced web index is a key opportunity for Europe and beyond. Currently, the landscape is dominated by a select few gatekeepers who provide their web search services with minimal scrutiny from the general public. Moreover, web data has emerged as a pivotal element in the development of AI systems, particularly Large Language Models. The efficacy of these models depends upon both the quantity and quality of the data available. Consequently, restricted access to web data and search capabilities severely curtails the innovation potential, particularly for smaller innovators and researchers who lack the resources to manage petabyte platforms.
In this talk, we present the OpenWebSearch.eu project which is currently developing the core of a European Open Web Index (OWI) as a basis for a new Internet Search in Europe. We mainly focus on the setup of a Federated Data Infrastructure leveraging geographically distributed data and computing resources at top-tier supercomputing centres across Europe. This data infrastructure leverages MINIO/S3, iRODS, EUDAT (B2SAFE, B2HANDLE) and our previous work on the LEXIS Platform for distributed computing and data management. The system developed facilitates efficient execution of complex processing and indexing workflows
CS3 2025 - Cloud Storage Synchronization and Sharing
No full textIn the recent atmospheric and oceanic measurement campaigns (EUREC4A and ORCESTRA), we use the InterPlanetaryFileSystem (IPFS) to store, use, synchronize and share measurement data. IPFS uses content addressing (instead of location-based addressing) and provides an easy-to-set-up peer-to-peer network for sharing data on servers and portable devices.
Because of these features, we were able to immediately start collaborating on newly collected data using local network connections while in the field. At the same time, the data was continuously synchronized with external data centers so that it was also available to outsiders. Since the data is addressed globally by content (CID), data access remains unchanged regardless of where the data is stored or analyzed. Scripts using the data could therefore be exchanged immediately between participants on site and remotely, and of course still work after we have dismantled our infrastructure in the field.
We plan to continue to build on our practical experience and develop more tools and user interfaces around the current setup. This should eventually lead to a replacement of the currently used data management platform, which was previously used to store the data recorded by the research aircraft
Search for long-lived neutral particles decaying into the ATLAS muon spectrometer
No full textA recent analysis for long-lived particles using data collected by the ATLAS detector at the LHC is presented. The analysis uses vertices reconstructed from track segments in the muon spectrometers to search for long-lived particle decays displaced up to 14m from the primary interaction vertex. The results are interpreted in terms of scalar-portal and Higgs-boson-portal baryogenesis models. A dedicated analysis channel is employed to include models which produce long-lived particles in association with prompt Z-bosons, providing sensitivity to axion-like particle and dark photon models. The use of a single displaced vertex significantly increases the sensitivity to longer and shorter lifetimes with respect to the previous ATLAS search using two displaced vertices, extending the sensitivity to decay lengths ranging from 5 cm to 40 m
A new neutron area monitor with extended energy range
No full textRadiation protection monitoring in installations producing high-energy neutrons requires dedicated instrumentation, called extended range neutron area monitors (ERNAM). With the main purpose of increasing the sensitivity of this class of instrument, while keeping a good degree of isotropy, a new portable device called neutron extended counter for high energy (NECH) was prototyped. NECH is based on a Helium-3 proportional counter placed in the center of a cylindrical polyethylene moderator with truncated cone ends, embedding a lead insert to promote the detection of neutrons above 20 MeV. NECH responds nearly isotropically, in terms of ambient dose equivalent H*(10), up to GeV neutrons. Its sensitivity is about three times larger than common commercial instruments of the same class. This novel instrument was fully simulated with Monte Carlo N-Particle (MCNP) and calibrated in radionuclide-based reference neutron fields at IRSN Cadarache and ENEA Frascati. Workplace testing was performed around the ENEA Frascati Neutron Generator operating at 2.5 MeV and, for the high-energy domain, at the CERN-EU high-energy Reference Field facility (CERF). This work presents the instrument, the simulated and measured dose equivalent response and the results of the workplace testing. The performance is compared with that of commercial ERNAMs
Machine Learning-Driven Anomaly Detection in Dijet Events with ATLAS
No full textThis contribution discusses an anomaly detection search for narrow-width resonances beyond the Standard Model that decay into a pair of jets. Using 139 fb−1 of proton-proton collision data at sqrt(s) = 13 TeV, recorded from 2015 to 2018 with the ATLAS detector at the Large Hadron Collider, we aim to identify new physics without relying on a specific signal model. The analysis employs two machine learning strategies to estimate the background in different signal regions, with weakly supervised classifiers trained to differentiate this background estimate from actual data. We focus on high transverse momentum jets reconstructed as large-radius jets, using their mass and substructure as classifier inputs. After a classifier-based selection, we analyze the invariant mass distribution of the jet pairs for potential local excesses. Our model-independent results indicate no significant local excesses and we inject a representative set of signal models into the data to evaluate the sensitivity of our methods. This contribution discusses the used methods and latest results and highlights the potential of machine learning in enhancing the search for new physics in fundamental particle interactions
Exploring QCD dynamics using the jet invariant mass
No full textSystematic studies of jet substructure offer precision tests of quantum chromodynamics (QCD) in vacuum as well as at the large particle densities and high temperatures of the quark-gluon plasma (QGP) produced in heavy-ion collisions. The jet invariant mass is a canonical jet substructure observable which has been broadly studied for decades, both experimentally and theoretically, to qualify substructure of jets and to identify boosted particles. A proxy for the virtuality of the initiating parton, the jet invariant mass is a perturbatively calculable probe of an uncontrolled variable in scattering experiments, though it is also dominated by nonperturbative corrections at small values, presenting an excellent test of QCD dynamics across a broad range of . The jet invariant mass can be combined with jet grooming procedures such as soft drop to remove soft, wide-angle radiation, both enhancing the predictive strength of perturbative calculations and reducing experimental systematic uncertainties. First-principles calculations are essential to estimate QCD backgrounds in particle searches in combination with Monte Carlo generators, which have surprisingly produced jet mass distributions in tension with one another. The jet invariant mass has also presented mysteries in heavy-ion collisions, where observed quenching modifications are in apparent disagreement with those observed for theoretically related jet angularities.These proceedings present an overview of recent jet invariant mass measurements from the Large Hadron Collider (LHC) in both \pp and heavy-ion collisions. These measurements provide tests of QCD in vacuum and of jet quenching models, providing new critical information on nonperturbative effects and QCD medium evolution. These proceedings furthermore look forward to future precision measurements of the heavy-flavor tagged jet invariant mass, which will offer a unique frontier to disentangle the QCD dead cone from Casimir color effects, while also testing novel flavor tagging algorithms and perturbative QCD with a nonzero quark mass
The ALICE ITS3 upgrade project: Latest results on monolithic pixel sensors test structures realized in a 65 nm technology
No full textALICE (A Large Ion Collider Experiment) at CERN investigates the
properties of the quark-gluon plasma formed in heavy ion collisions at high energies.
A crucial aspect of this research is the precise reconstruction of low momentum
particles (< 1 GeV/c). The ALICE Inner Tracking System (ITS) plays a central
role in this effort, it is the first large-area silicon tracker constructed entirely from
Monolithic Active Pixel Sensors (MAPS). The ITS upgrade project will lead to a
new detector, named ITS3, which will be equipped with three layers of sensors based
on the latest 65 nm CMOS imaging process, developed by TPSCo foundry, enabling
wafer-scale sensor production through advanced stitching techniques. This paper
discusses the recent progress in the ITS3 project, highlighting the performance of
thinned and bent sensors, the assembly process, and air cooling system. Initial test
beam results match the small test structure desired characteristics, ensuring efficient
detection and high spatial resolution. The first stage of project will be completed
with the ITS3 installation, which is expected in LHC Long Shtudown 3 (2026-28).
Commissioning and operation will follow