The Level-1 trigger Data Scouting (L1DS) is a novel data acquisition system under development for the Phase-2 CMS detector at the High-Luminosity LHC (HL-LHC). Its purpose is to capture and process L1 trigger information at the bunch crossing frequency of the LHC preceding the L1 accept. It has the potential for filterless detector diagnostics, luminosity studies and investigations into...
The talk will be focused to present the computing infrastructure under development as part of the WP5 activities. The aim is to provide the users with an infrastructure that represents a tradeoff between deployment speed-flexibility, resource efficiency and service performance, what we call analysis facility.
In order to offer a general-purpose infrastructure, we leveraged container...
The challenges expected for the future colliders era are pushing to re think the HEP computing models at many levels.
A simple use case tested on the INFN analysis facility will be presented in the context of WP5, exploiting FCCee simulations.
The presented work will provide an overview of the main technologies involved and will describe the results of a first benchmark using IDEA detector...
The ever-growing demand for fast processing of large datasets, as in the upcoming high-luminosity phases at the Large Hadron Collider (LHC), paves the way for innovative approaches. Leveraging the ICSC cloud DataLake model and integrating ongoing experiences in High Energy Physics (HEP) , a path towards an Analysis Facility (AF) is being forged. This new paradigm of data analysis moves from a...
Images acquired from aircrafts also integrate with satellite-based remote sensing allows for high-resolution data collection essential for ecosystems monitoring and risk management. This approach, combined with Artificial Intelligence (AI) algorithms serves as a reliable tool for the calibration and validation of satellite-derived data and ensures ground-truthing capabilities for more accurate...
Gravitational waves (GWs) from compact binary coalescences can be used as a new and independent cosmological probe if external binary redshift information is injected into the inference process. Methods for incorporating redshift information range from direct detection of electromagnetic counterparts ("bright sirens") to statistical inference of binary redshift using a catalog of possible...
Automatically detecting the area of photovoltaic panels in images gives the possibility to forecast and plan the green energy production in a community. Most existing approaches for panel detection resort to machine learning to analyse images and find the photovoltaic panels. However, each geographical area is likely to have its own sorrounding/background colours and panel colours, as the...
The recent observation of gravitational waves from merging binary systems of compact astrophysical objects has opened a new window to explore the Universe. A strong effort is still ongoing to detect signals from different sources, like rotating isolated neutron stars, which are expected to produce continuous, persistent gravitational waves. In this talk, I will show that those searches are...
Numerical simulations of lattice Quantum ChromoDynamics offer a non perturbative approach from first principles to compute the properties of the theory of strong interactions. The design of efficient algorithms and the increasing computing power of latest and future generation HPC systems allow to push simulations to more interesting (and challenging) regimes. Within the context of the...
Gravitational waves are perturbations of spacetime that propagate out through the Universe at the speed of light.
The Laser Interferometer Space Antenna (LISA) will be the first space-based observatory to survey the source-rich milliHertz band of the gravitational-wave spectrum.
LISA will revolutionize our understanding of the Universe, providing observations of astrophysical sources ranging...
