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Computing four-point functions with integrability, bootstrap and parity symmetry
The combination of integrability and crossing symmetry has proven to give tight non-perturbative bounds on some planar structure constants in =4 SYM, particularly in the setup of defect observables built on a Wilson-Maldacena line. Whereas the precision is good for the low lying states, higher in the spectrum it drops due to the degeneracies at weak coupling when considering a single correlator. As this could be a clear obstacle in restoring higher point functions, we studied the problem of bounding directly a 4-point function at generic cross ratio, showing how to adapt for this purpose the numerical bootstrap algorithms based on semidefinite programming. Another tool we are using to further narrow the bounds is a parity symmetry descending from the =4 SYM theory, which allowed us to reduce the number of parameters. We also give an interpretation for the parity in terms of the Quantum Spectral Curve at weak coupling. Our numerical bounds give an accurate determination of the 4-point function for physical values of the cross ratio, with at worst 5-6 digits precision at weak coupling and reaching more than 11 digits for 't Hooft coupling
Carta Geologica d'Italia alla scala 1:50.000, F. 185 Ferrara. Geologia di sottosuolo
<p>Foglio geologico di sottosuolo alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2021 e il 2023) comprensivo di legenda, schemi a cornice, sezioni geologiche.</p>
Banca dati geologica F. 598 Sant'Agata di Militello, scala 1:25.000
<p>Banca Dati alla scala 1:25.000 della Carta Geologica prodotta nell'ambito del Progetto CARG in formato GeoPackage. I layer presenti si riferiscono alle Unità cartografabili geologiche, agli Elementi geomorfologici e alle Risorse e Prospezioni. Gli strati informativi sono rappresentati in accordo con la simbologia prevista dalla normativa del Progetto CARG.</p>
Sinonimie della successione sedimentaria quaternaria nel foglio 121 "Brescia"
<p>Appendice III, allegato alle note illustrative del Foglio geologico n. 121 "Brescia"</p>
Dataset related to article \"Financial and numerical abilities: patterns of dissociation in neurological and psychiatric diseases\
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Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
<p>Machine Learning (ML) is driving a revolution in the way scientists design, develop, and deploy data-intensive software. However, the adoption of ML presents new challenges for the computing infrastructure, particularly in terms of provisioning and orchestrating access to hardware accelerators for development, testing, and production. The INFN-funded project AI_INFN ("Artificial Intelligence at INFN") aims at fostering the adoption of ML techniques within INFN use cases by providing support on multiple aspects, including the provision of AI-tailored computing resources. It leverages cloud-native solutions in the context of INFN Cloud, to share hardware accelerators as effectively as possible, ensuring the diversity of the Institute's research activities is not compromised. In this contribution, we provide an update on the commissioning of a Kubernetes platform designed to ease the development of GPU-powered data analysis workflows and their scalability on heterogeneous, distributed computing resources, possibly federated as Virtual Kubelets with the interLink provider.</p>
Proprietà dei layer (vettoriali e raster) - Esercitazione
<p>The present exercises (in Italian language) are related to the lesson about layers properties, both raster and vector, in QGIS, in the frame of the annual course of QGIS (base level) held by ISPRA in the frame of its SNPA activities.</p>