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Visit by Mr Carlos Ramiro Martinez Alvarado, Minister of Foreign Affairs, Guatemala
No full textVisit by His Excellency Mr Carlos Ramiro Martinez Alvarado, Minister of Foreign Affairs, Republic of Guatemal
(Re)interpretation of the LHC results for new physics
No full textA method to derive constraints on new physics models featuring exotic long-lived particles using detector-corrected measurements of prompt states is presented. The CONTUR workflow is modified to either account for the fraction of long-lived particles which decay early enough to be reconstructed as prompt, or to be sensitive to the recoil of such particles against a prompt system. This makes it possible to determine how many of signal events would be selected in the RIVET routines which encapsulate the fiducial regions of dozens of measurements of Standard Model processes by the ATLAS and CMS collaborations. New constraints are set on several popular exotic long-lived particle models in the very short-lifetime or very long-lifetime regimes, which are often poorly covered by direct searches. The probed models include feebly-interacting dark matter, hidden sector models mediated by a heavy neutral scalar, dark photon models and a model featuring photo-phobic axion-like particles
(Re)interpretation of the LHC results for new physics
No full textOne of the objectives of the EOSC (European Open Science Cloud) Future Project was to integrate diverse analysis workflows from Cosmology, Astrophysics and High Energy Physics in a common framework. This led to the inception of the Virtual Research Environment (VRE) at CERN, a prototype platform supporting the goals of Dark Matter and Extreme Universe Science Projects in compliance with FAIR (Findable, Accessible, Interoperable, Reusable) data policies. The goal of the project was to highlight the synergies between different dark matter communities and experiments, by producing new scientific results as well as by making the necessary data and software tools fully available. The VRE makes use of a common authentication and authorisation infrastructure (AAI), and shares the different experimental data (ATLAS, Fermi-LAT, CTA, Darkside, Km3Net, Virgo, LOFAR) in a reliable distributed storage infrastructure via the ESCAPE Data Lake. The entry point of such a platform (for an end-user) is a jupyterhub instance deployed on top of a scalable Kubernetes infrastructure, providing an interactive graphical interface for researchers to access, analyse and share data. The data access and browsability is enabled through API calls to the high level data management and storage orchestration software (Rucio). The VRE aims to streamline the development of end-to-end physics workflows, granting researchers access to an infrastructure that contains easy-to-use physics analysis workflow from different experiments. In this contribution, I will provide an overview of the VRE, highlight its use cases as an analyser for implementing and reproducing experimental analyses on a REANA cluster, and showcase the successful integration of an ATLAS experimental analysis workflow into the VRE platform
(Re)interpretation of the LHC results for new physics
No full textI will discuss recent developments and new features in CheckMATE, in particular multibin signal regions, new searches using machine learning methods and (perhaps) statistical combination of searches
A Multi-Objective Optimization Tool for Track Reconstruction in CMS
No full textEfficient and precise track reconstruction is critical for the results of the Compact Muon Solenoid (CMS) experiment.
The current CMS track reconstruction algorithm is a multi-step procedure that consists in a Cellular Automaton technique to create track seeds, followed by Kalman filter based methods to build the trajectory pattern and final fit.
Multiple parameters regulate the reconstruction steps, populating a large phase space of possible solutions.
The fine-tuning of these parameters is necessary to ensure an optimal reconstruction.
This report presents an original tool based on the established Particle Swarm heuristic optimization algorithm (PSO) to perform parameter tuning of the pixel track reconstruction software.
The software enables Multi-Objective Optimization against tracking efficiency and fake rate, resulting in the individuation of a Pareto front of valid parameters' sets for reconstruction.
The algorithm has been tested at the end of the data-taking period of 2023 with excellent results.
The parameters obtained with the optimization resulted in comparable reconstruction's efficiency with a 50\% reduction in misidentified tracks, especially for low transverse momentum of the particles
CERN smart mobility: Moving forward
No full textThe Smart Mobility programme brings together all of CERN’s actions to transform mobility. Its objectives are to make travel comfortable, fluid and responsible, from, towards, between and within the Organization’s sites
Transport and installation of Q2b in the HL-LHC IT String
No full textThe second CERN-made inner triplet cryomagnet assembly, Q2b, was installed into the IT String on 7th February 2024. It consists of an MQXFB magnet (produced by CERN) and an MCBXF corrector magnet (produced by CIEMAT, Spain). First, Q2b was carefully transported from SMI2 to SMS18, where it was transferred to the Rocla vehicle for final transport to the IT String in SM18. It was then aligned to its final position using a crane and two translation tables
The Timepix4 Beam Telescope
No full textThe spatial and temporal performance of a telescope system comprising planar silicon sensors bump-bonded to Timepix4-v2 ASICs are assessed at the CERN SPS using a ~GeV/ mixed hadron beam. The pointing resolution at the centre of the telescope is and in x and y directions, respectively. The temporal resolution for the combined timestamps on a track using only the information from the Timepix4 planes is found to be ~ps. The telescope is extensively described including its data acquisition system and dedicated software as well as the corrections applied to the raw measurements