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EOS 2025 Workshop
We will outline the EOS development roadmap, highlighting key milestones, upcoming features, and future plans. This presentation will provide insights into ongoing improvements, strategic goals, and the evolving direction of EOS
Analysis of AFP ToF data from early LHC Run-3
The analysis of the early LHC Run-3 data was performed. Efficiencies 7 for the ATLAS Forward Proton (AFP) Time-of-Flight (ToF) detector were 8 studied. In addition, these performance studies of the ToF data included 9 the proton-proton vertex reconstruction using matching of ToF and cen10 tral ATLAS vertex position. After a calibration, a preliminary resolution 11 of the vertex reconstruction was determined with a low-mu ATLAS run
Study of the radiation background and of new monitoring tools at the LHC for Run 3 and the HL-LHC
The hostile radiation environment at the Large Hadron Collider (LHC) affects detectors, accelerator beamline elements and electronic devices, requiring the careful characterisation of the radiation levels. This thesis aims to study the mixed radiation field at the LHC and its upgrade, the High Luminosity LHC, by developing a simulation model and a new radiation monitor
EOS 2025 Workshop
The Joint Research Centre (JRC) of the European Commission is running the Big Data Analytics Platform (BDAP) to enable the JRC projects and scientists to store, process, and analyze a wide range and large amount of data, and to share and disseminate data products.
EOS is the main system of BDAP for storing scientific data. The BDAP services are actively used by more than 100 JRC projects, covering a wide range of data analytics activities. The EOS instance at JRC has been implemented in 2016 and has currently a gross capacity of 43 PB. It is composed of heterogeneous commodity hardware components which has been extended noticeably over time.
The talk will present the EOS service at JRC as storage back-end of the Big Data Analytics Platform. The presentation covers the EOS setup, configuration and current status. It describes the activities over the last year, presents experiences made and issues discovered, and gives an outlook of planned activities during 2025
Exotic Hadrons from Hidden Charm to Doubly Charmed Mesons
In 1964, proposing quarks to describe the known mesons and baryons as (q\bar q) and (qqq) states, Murray Gell-Mann suggested the possible existence of further meson and baryon configurations: tetraquarks (qq \bar q\bar q) and pentaquarks (qqqq \bar q). The first unexpected hadron, the X(3872), was discovered by BELLE in 2003, confirmed by BABAR and seen in many other High Energy experiments. Since then, a wealth of Exotic Hadrons have been observed, mesons and baryons that cannot be described by the classical Gell-Mann configurations. In the seminar, I will illustrate the phenomenology of the first exotic hadrons discovered, the attempts to include them in the Standard Theory and the predicted, still missing, particles needed to complete the scheme.</p
Performance and Calibration of the ATLAS Tile Calorimeter
The Tile Calorimeter (TileCal) is a sampling hadronic calorimeter covering the central region of the ATLAS experiment, with steel as absorber and plastic scintillators as active medium. The scintillators are read-out by the wavelength shifting fibres coupled to the photomultiplier tubes (PMTs). The analogue signals from the PMTs are amplified, shaped, digitized by sampling the signal every 25 ns and stored on detector until a trigger decision is received. The TileCal front-end electronics reads out the signals produced by about 10000 channels measuring energies ranging from about 30 MeV to about 2 TeV. Each stage of the signal production from scintillation light to the signal reconstruction is monitored and calibrated. During LHC Run-2, high-momentum isolated muons have been used to study and validate the electromagnetic scale, while hadronic response has been probed with isolated hadrons. The calorimeter time resolution has been studied with multi-jet events. First results using early LHC Run-3 data will be shown. A summary of the performance results, including the calibration, stability, absolute energy scale, uniformity and time resolution, will be presented
EOS 2025 Workshop
The National Institute for Space Research - INPE (Brazil) is leading a research program: Intelligent Early Warning System for Climate Extremes - SIPEC. The project aims at predicting the likelihood of climate extremes, months in advance using a diverse source of data coming from satellites and an array of intelligent sensors spread across the country. Such data streams will feed both classical meteorological models and AI machine learning algorithms for the ultimate early warning of climate extremes.
Given the number of institutions producing large amounts of data needed to train the ML algorithms by scientists dealing with different parts of the problem, at different places, we are implementing an EOS Data Federation in Brazil. The implementation of the EOS family of tools, in addition to being capable to deal with large volumes of distributed data, also takes care of security controls for who has access to what portions of the datasets
Inverted CERN School of Computing 2025
Abstract/Description:
"Welcome to web dev 101! In this lecture we will go over the fundamentals (HTML, CSS, JS), tooling, overview of common UI libraries and frameworks, teach you the fundamentals of React development and testing, tldr user experience design, APIs, highlight modern features such as web assembly and WebGL.
Development of graphical user interfaces (GUIs) are often serious and timely undertaking, throughout all the different phases from the requirement gathering, design, user experience to the complexities of cross platform development with native GUI libraries. Web apps to the rescue!
Building web apps can help speed up this process and provide a platform agnostic interface for your software, which can run locally or remotely. Utilising design systems can take the pain of user interface design away allowing you to build beautiful and accessibility friendly UI components quickly. API backends can enhance the web app with capabilities to use external databases, software and programs.
The ATLAS Upgrade for the HL-LHC
The HL-LHC projects a leveled instantaneous proton–proton luminosity of up to 7×1034 cm-2s-1 with 200 simultaneous collisions within a bunch crossing (pileup) and an integrated luminosity of 3000 fb-1. These conditions require unprecedented detector technologies in terms of radiation hardness, high detection granularity and resolution, precision track timing, and powerful triggers. To meet these challenges, ATLAS pursues an ambitious upgrade programme featuring: an all-silicon inner tracker with today’s largest five billion channel counting silicon-pixel detector and a silicon strip detector providing forward acceptance until a pseudorapidity of 4, a forward high-granularity timing detector featuring better than 50 ps timing resolution per hit, new RPC trigger chambers in the barrel to improve the muon trigger selection, a new trigger and data acquisition system with 1 MHz first-level global event selection using programmable hardware and a 10 kHz second-level software selection, and an upgraded detector front-end and back-end electronics in the calorimeters and muon systems. The construction of this upgrade involves thousands of ATLAS members worldwide and represents the number one priority for the collaboration