Zobrazeno 1 - 10
of 31 184
pro vyhledávání: '"Bono, A."'
In this work, we give some criteria that allow us to decide when two sequences of matrix-valued orthogonal polynomials are related via a Darboux transformation and to build explicitly such transformation. In particular, they allow us to see when and
Externí odkaz:
http://arxiv.org/abs/2407.20994
The task of sampling efficiently the Gibbs-Boltzmann distribution of disordered systems is important both for the theoretical understanding of these models and for the solution of practical optimization problems. Unfortunately, this task is known to
Externí odkaz:
http://arxiv.org/abs/2407.19483
We introduce Java-Class-Hijack, a novel software supply chain attack that enables an attacker to inject malicious code by crafting a class that shadows a legitimate class that is in the dependency tree. We describe the attack, provide a proof-of-conc
Externí odkaz:
http://arxiv.org/abs/2407.18760
Autor:
Mekhaël, Nicolas, Pasquato, Mario, Carenini, Gaia, Braga, Vittorio F., Trevisan, Piero, Bono, Giuseppe, Hezaveh, Yashar
We present the first application of data-driven techniques for dynamical system analysis based on Koopman theory to variable stars. We focus on light curves of RRLyrae type variables, in the Galactic globular cluster $\omega$ Centauri. Light curves a
Externí odkaz:
http://arxiv.org/abs/2407.16868
Autor:
Eddin, Ahmad Naser, Bono, Jacopo, Aparício, David, Ferreira, Hugo, Ribeiro, Pedro, Bizarro, Pedro
Continuous-time dynamic graphs (CTDGs) are essential for modeling interconnected, evolving systems. Traditional methods for extracting knowledge from these graphs often depend on feature engineering or deep learning. Feature engineering is limited by
Externí odkaz:
http://arxiv.org/abs/2407.07712
Autor:
Saracco, P., Conconi, P., Arcidiacono, C., Portaluri, E., Mahmoodzadeh, H., D'Orazi, V., Fedele, D., Gargiulo, A., Vanzella, E., Franzetti, P., Arosio, I., Barbalini, L., Lops, G., Molinari, E., Cascone, E., Cianniello, V., D'Auria, D., De Caprio, V., Di Antonio, I., Di Francesco, B., Di Rico, G., Eredia, C., Fumana, M., Greggio, D., Rodeghiero, G., Scalera, M., Alcala', J. M., Bisogni, S., Bonito, R., Bono, G., Garatti, A. Caratti o, Bonta', E. Dalla, Dall'Ora, M., Fiorentino, G., Gallazzi, A. R., Guarcello, M., Izzo, L., La Barbera, F., Lardo, C., Longhetti, M., Longobardo, A., Magrini, L., Mancini, C., Mura, A., Piconcelli, E., Pizzella, A., Podio, L., Polletta, M., Prisinzano, L., Ricci, F., Ripepi, V., Roccatagliata, V., Vietri, G.
The Extremely Large Telescopes (ELTs), thanks to their large apertures and cutting-edge Multi-Conjugate Adaptive Optics (MCAO) systems, promise to deliver sharper and deeper data even than the JWST. SHARP is a concept study for a near-IR (0.95-2.45 $
Externí odkaz:
http://arxiv.org/abs/2407.06264
Autor:
Colonnelli, Iacopo, Medić, Doriana, Mulone, Alberto, Bono, Viviana, Padovani, Luca, Aldinucci, Marco
In the ever-evolving landscape of scientific computing, properly supporting the modularity and complexity of modern scientific applications requires new approaches to workflow execution, like seamless interoperability between different workflow syste
Externí odkaz:
http://arxiv.org/abs/2407.01838
How to distribute a set of points uniformly on a spherical surface is a very old problem that still lacks a definite answer. In this work, we introduce a physical measure of uniformity based on the distribution of distances between points, as an alte
Externí odkaz:
http://arxiv.org/abs/2407.01503
Results regarding spin glass models are, to this day, mainly confined to models with Ising spins. Spin glass models with continuous spins exhibit interesting new physical behaviors related to the additional degrees of freedom, but have been primarily
Externí odkaz:
http://arxiv.org/abs/2406.16836
Autor:
Di Criscienzo, M., Leccia, S., Braga, V., Musella, I., Bono, G., Dall'Ora, M., Fiorentino, G., Marconi, M., Molinaro, R., Ripepi, V., Girardi, L., Mazzi, A., Pastorelli, G., Trabucchi, M., Matsunaga, N., Monelli, M., Saha, A., Vivas, K., Sanchez, R. Zanmar
This work is part of VESTALE, a project initiated within the Rubin-LSST Cadence Strategy Optimization Process . Its goal is to explore the potential of Rubin-LSST observations aimed at the Galaxy's bulge (Bulge) for studying RR Lyrae stars (RRL). Obs
Externí odkaz:
http://arxiv.org/abs/2406.12488