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Massive Stochastic Simulation of Cosmic Rays Propagation in the Heliosphere: Code and Validation
No full text<ul>
<li>We developed a simulation framework for performing model testing and phenomenological analysis for Cosmic Rays Heliospheric Modulation</li>
<li>The numerical code solving the Cosmic Rays Transport Equation shows better performance in run time with respect actual numerical codes available for the community</li>
<li>The numerical solvers is coupled with Multi parameter searches algorithm, which allows to perform complex multidimensional parameter minimizations</li>
<li>The actual code performances, coupled with HPC capabilities of ICSC infrastructure paved the way to more complex model testing which reflect the richness and accuracy of actual cosmic rays observations.</li>
</ul>
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
No full text<p><span>Machine Learning (ML) is driving a revolution in the way scientists</span><br><span>design, develop, and deploy data-intensive software. However, the adoption of</span><br><span>ML presents new challenges for the computing infrastructure, particularly in</span><br><span>terms of provisioning and orchestrating access to hardware accelerators for de-</span><br><span>velopment, testing, and production. The INFN-funded project AI_INFN (“Ar-</span><br><span>tificial Intelligence at INFN”) aims at fostering the adoption of ML techniques</span><br><span>within INFN use cases by providing support on multiple aspects, including the</span><br><span>provision of AI-tailored computing resources. It leverages cloud-native solu-</span><br><span>tions in the context of INFN Cloud, to share hardware accelerators as e</span><span>ff</span><span>ec-</span><br><span>tively as possible, ensuring the diversity of the Institute’s research activities is</span><br><span>not compromised. In this contribution, we provide an update on the commis-</span><br><span>sioning of a Kubernetes platform designed to ease the development of GPU-</span><br><span>powered data analysis workflows and their scalability on heterogeneous, dis-</span><br><span>tributed computing resources, possibly federated as Virtual Kubelets with the</span><br><span>interLink provider.</span></p>
Scienza Aperta equa e sostenibile: sfide e opportunità
Full text link<p>Presentato al workshop </p>
<p><span>Open</span> Science a colazione 2025</p>
<p>Workshop dedicato all’informazione sulle buone pratiche di scienza aperta</p>
<p>Giovedì 13 Novembre 2025</p>
<p>Istituto Nazionale di Ricerca Metrologica</p>
<p>Sala Convegni (Piano -2), Strada delle Cacce 91, Torino</p>
Italy + Sweden Sport Research Day
No full text<p><span>Italy + Sweden Sport Research Day is a thematic workshop jointly organized by KTH and the Scientific Office of the Embassy of Italy to Stockholm with the aim of fostering collaboration between Italy and Sweden. Olympics games and sport competitions are unique opportunities to exhibit athletes and technologies involved. This event is proudly connected to the <em>Giornata dello Sport Italiano nel Mondo</em>, an initiative by CONI to celebrate and promote Italian sporting excellence and international collaboration.</span></p>
<p><span>The event brought together leading Italian and Swedish researchers, institutions, and policymakers to foster collaboration in the sport research, exploring opportunities for funding common research on the road to Milano-Cortina 2026 and beyond.</span></p>
Carta Geologica d'Italia alla scala 1:50.000, F. 430 Caserta Ovest. Geologia di sottosuolo
No full text<p>Foglio geologico di sottosuolo alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2021 e il 2024) comprensivo di legenda, schemi a cornice, sezioni geologiche.</p>
Introduzione al Primo corso nazionale scienza aperta e INFN
No full text<p>Introduzione al corso, presentato al Primo corso nazionale Scienza aperta, 17-18 febbraio 2025, Laboratori Nazionali di Frascati</p>
Introduction to string theory
No full textThese are lecture notes of the introductory String Theory course held by one of the authors for the master program of Theoretical Physics at Turin University. The world-sheet approach to String Theory is pedagogically introduced in the framework of the bosonic string and of the superstring
Preliminary version of algorithms for automatic or semi-automatic extraction of information from digital twin using machine learning technique
Full text link<p>The report aims at describing the preliminary version of an image semantic segmentation algorithm capable of speeding up the detection of flooded areas and related damages. It describes the initial needs, the study of the state of the art algorithms for such a class of problems and the challenges faced during the training and, being still a work in progress, future outlooks for its development.</p>
Parallel Photogrammetry with Metashape on Kubernetes
Full text link<p>This report outlines the architectural design and implementation for deploying a photogrammetry workflow based on Agisoft Metashape within a Kubernetes framework. The configuration was deployed within the Proof of Concept Infrastructure (POCI) hosted at the green data center HPC4AI@UNITO of the University of Turin for the Hammon project. In this context, preliminary performance results were collected and are reported. The application has since been migrated to the Kubernetes cluster set up by INFN, where further performance tests will be conducted.</p>
White paper and roadmap for quantum gravity phenomenology in the multi-messenger era
No full textThe unification of quantum mechanics and general relativity has long been elusive. Only recently have empirical predictions of various possible theories of quantum gravity been put to test, where a clear signal of quantum properties of gravity is still missing. The dawn of multi-messenger high-energy astrophysics has been tremendously beneficial, as it allows us to study particles with much higher energies and travelling much longer distances than possible in terrestrial experiments, but more progress is needed on several fronts. A thorough appraisal of current strategies and experimental frameworks, regarding quantum gravity phenomenology, is provided here. Our aim is twofold: a description of tentative multimessenger explorations, plus a focus on future detection experiments. As the outlook of the network of researchers that formed through the COST Action CA18108 'Quantum gravity phenomenology in the multi-messenger approach (QG-MM)', in this work we give an overview of the desiderata that future theoretical frameworks, observational facilities, and data-sharing policies should satisfy in order to advance the cause of quantum gravity phenomenology