Zobrazeno 1 - 10
of 65 571
pro vyhledávání: '"Porta, A"'
Autor:
Cooke, D. A., Pannell, F., Della Porta, G. Zevi, Farmer, J., Bencini, V., Bergamaschi, M., Mazzoni, S., Ranc, L., Senes, E., Sherwood, P., Wing, M., Agnello, R., Ahdida, C. C., Amoedo, C., Andrebe, Y., Apsimon, O., Apsimon, R., Arnesano, J. M., Blanchard, P., Burrows, P. N., Buttenschön, B., Caldwell, A., Chung, M., Clairembaud, A., Davut, C., Demeter, G., Dexter, A. C., Doebert, S., Fasoli, A., Fonseca, R., Furno, I., van Gils, N. Z., Granados, E., Granetzny, M., Graubner, T., Grulke, O., Gschwendtner, E., Guran, E., Henderson, J., Kedves, M. Á., Kraus, F., Krupa, M., Lefevre, T., Liang, L., Liu, S., Lopes, N., Lotov, K., Calderon, M. Martinez, Mezger, J., Guzmán, P. I. Morales, Moreira, M., Nechaeva, T., Okhotnikov, N., Pakuza, C., Pardons, A., Pepitone, K., Poimendidou, E., Pucek, J., Pukhov, A., Ramjiawan, R. L., Rey, S., Rossel, R., Saberi, H., Schmitz, O., Silva, F., Silva, L., Spear, B., Stollberg, C., Sublet, A., Swain, C., Topaloudis, A., Tuev, N. TorradoP., Velotti, F., Verzilov, V., Vieira, J., Walter, E., Welsch, C., Wendt, M., Wolfenden, J., Woolley, B., Xia, G., Verra, L., Yarygova, V., Zepp, M.
The vertical plane transverse emittance of accelerated electron bunches at the AWAKE experiment at CERN has been determined, using three different methods of data analysis. This is a proof-of-principle measurement using the existing AWAKE electron sp
Externí odkaz:
http://arxiv.org/abs/2411.08681
Autor:
Porta, Marcello, Singh, Harman Preet
We consider the transport properties of non-interacting, gapless one-dimensional quantum systems and of the edge modes of two-dimensional topological insulators, in the presence of time-dependent perturbations. We prove the validity of Kubo formula,
Externí odkaz:
http://arxiv.org/abs/2411.04023
Autor:
Orsolino, Romeo, Marfeychuk, Mykhaylo, Fonseca, Mariana de Paula Assis, Baggetta, Mario, Wimshurst, Wesley, Porta, Francesco, Clarke, Morgan, Berselli, Giovanni, Konstantinova, Jelizaveta
Publikováno v:
IEEE ASME MESA 20th Int. Conference on Mechatronic, Embedded Systems and Applications 2024
Robotic manipulation of fresh fruits and vegetables, including the grasping of multiple loose items, has a strong industrial need but it still is a challenging task for robotic manipulation. This paper outlines the distinctive manipulation strategies
Externí odkaz:
http://arxiv.org/abs/2410.22893
Autor:
La Porta, Alison, Schulze, Bernd
In this paper we establish combinatorial characterisations of symmetry-generic infinitesimally rigid frameworks in the Euclidean plane for rotational groups of order 4 and 6, and of odd order between 5 and 1000, where a joint may lie at the centre of
Externí odkaz:
http://arxiv.org/abs/2410.07931
We consider Haldane-like $2d$ topological insulators on the cylinder, in the presence of weak quasi-periodic disorder. We prove that, at large distances, the boundary correlations agree with the correlations of a renormalized, translation-invariant,
Externí odkaz:
http://arxiv.org/abs/2410.03946
In recent years, drone detection has quickly become a subject of extreme interest: the potential for fast-moving objects of contained dimensions to be used for malicious intents or even terrorist attacks has posed attention to the necessity for preci
Externí odkaz:
http://arxiv.org/abs/2409.16099
We give a rigorous derivation of the Hartree equation for the many-body dynamics of pseudo-relativistic Fermi systems at high density $\varrho \gg 1$, on arbitrarily large domains, at zero temperature. With respect to previous works, we show that the
Externí odkaz:
http://arxiv.org/abs/2409.14841
Prototypical part learning is emerging as a promising approach for making semantic segmentation interpretable. The model selects real patches seen during training as prototypes and constructs the dense prediction map based on the similarity between p
Externí odkaz:
http://arxiv.org/abs/2409.09497
Software-defined networking (SDN) is a centralized, dynamic, and programmable network management technology that enables flexible traffic control and scalability. SDN facilitates network administration through a centralized view of the underlying phy
Externí odkaz:
http://arxiv.org/abs/2408.16940
We provide an approach enabling one to employ physics-informed neural networks (PINNs) for uncertainty quantification. Our approach is applicable to systems where observations are scarce (or even lacking), these being typical situations associated wi
Externí odkaz:
http://arxiv.org/abs/2408.04690