Zobrazeno 1 - 10
of 10 042
pro vyhledávání: '"A. Pazzini"'
Autor:
M. Angiolillo, B. Di Lorenzo, A. Izzi, M. Giusti, O. Nonnis, A. Pazzini, B. Trabucco, L. Tunesi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Deep-sea coral assemblages are marine biodiversity hot spots. Because of their life history traits, deep-sea corals are highly vulnerable to the impacts of human activities such as fishing. The critically endangered “bamboo coral” Isidel
Externí odkaz:
https://doaj.org/article/aa6efd435d2d46638c8fd034cf924f38
Autor:
Borella, Lorenzo, Coppi, Alberto, Pazzini, Jacopo, Stanco, Andrea, Trenti, Marco, Triossi, Andrea, Zanetti, Marco
Tensor Networks (TNs) are a computational paradigm used for representing quantum many-body systems. Recent works have shown how TNs can also be applied to perform Machine Learning (ML) tasks, yielding comparable results to standard supervised learnin
Externí odkaz:
http://arxiv.org/abs/2409.16075
Autor:
Grosso, Gaia, Lai, Nicolò, Migliorini, Matteo, Pazzini, Jacopo, Triossi, Andrea, Zanetti, Marco, Zucchetta, Alberto
This work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from a particle detector. The processing pipeline begins with a local reconstruction algorithm, employ
Externí odkaz:
http://arxiv.org/abs/2311.02038
We report the first ever measurements of the thermalization length of low-energy electrons injected into solid para-hydrogen at a temperature \(T\approx 2.8\,\)K. The use of the pulsed Townsend photoinjection technique has allowed us to investigate t
Externí odkaz:
http://arxiv.org/abs/2307.15963
Autor:
Grosso, Gaia, Lai, Nicolò, Letizia, Marco, Pazzini, Jacopo, Rando, Marco, Rosasco, Lorenzo, Wulzer, Andrea, Zanetti, Marco
We here propose a machine learning approach for monitoring particle detectors in real-time. The goal is to assess the compatibility of incoming experimental data with a reference dataset, characterising the data behaviour under normal circumstances,
Externí odkaz:
http://arxiv.org/abs/2303.05413
Autor:
Abbiendi, G., Maestre, J. Alcaraz, Fernández, A. Álvarez, González, B. Álvarez, Amapane, N., Bachiller, I., Barcellan, L., Baldanza, C., Battilana, C., Bellato, M., Bencze, G., Benettoni, M., Beni, N., Benvenuti, A., Bergnoli, A., Ramos, L. C. Blanco, Borgonovi, L., Bragagnolo, A., Cafaro, V., Calderon, A., Calvo, E., Carlin, R., Montoya, C. A. Carrillo, Cavallo, F. R., Ruiz, J. M. Cela, Cepeda, M., Cerrada, M., Checchia, P., Ciano, L., Colino, N., Corti, D., Cotto, G., Crupano, A., Calzada, S. Cuadrado, Cuevas, J., Cuffiani, M., Dallavalle, G. M., Dattola, D., De La Cruz, B., Rodríguez, C. I. de Lara, De Remigis, P., Cid, C. Erice, Eliseev, D., Fabbri, F., Fanfani, A., Fasanella, D., Bedoya, C. F., de Trocóniz, J. F., del Val, D. Fernández, Menéndez, J. Fernández, Ramos, J. P. Fernández, Folgueras, S., Fouz, M. C., Ferrero, D. Francia, Romero, J. García, Gasparini, F., Gasparini, U., Giordano, V., Gonella, F., Caballero, I. González, Fernández, J. R. González, López, O. González, López, S. Goy, Gozzelino, A., Griggio, A., Grosso, G., Guandalini, C., Guiducci, L., Gulmini, M., Hebbeker, T., Hoepfner, K., Isocrate, R., Josa, M. I., Kiani, B., Holgado, J. León, Meo, S. Lo, Lusiani, E., Lunerti, L., Marcellini, S., Margoni, M., Mariotti, C., Martín, I. Martín, Morales, J. J. Martínez, Maselli, S., Masetti, G., Meneguzzo, A. T., Merschmeyer, M., Migliorini, M., Modenese, L., Molnar, J., Montecassiano, F., Martínez, J. Mora, Moran, D., Mukherjee, S., Navarrete, J. J., Navarria, F., Tobar, A. Navarro, Nowotny, F., Cortezón, E. Palencia, Passaseo, M., Pazzini, J., Pelliccioni, M., Perrotta, A., Philipps, B., Gomez, J. Piedra, Primavera, F., Pelayo, J. Puerta, Sánchez, J. C. Puras, Álvarez, C. Ramón, Redondo, I., Ferrero, D. D. Redondo, Reithler, H., Reyes-Almanza, R., Bouza, V. Rodríguez, Ronchese, P., Rossi, A. M., Rossin, R., Rotondo, F., Rovelli, T., Cruz, S. Sánchez, Navas, S. Sánchez, Sastre, J., Sharma, A., Simonetto, F., Rodríguez, A. Soto, Staiano, A., Szillasi, Z., Teyssier, D. F., Toniolo, N., Torromeo, G., Trapote, A., Trevisani, N., Triossi, A., Trocino, D., Ujvari, B., Umoret, G., Gómez, L. Urda, Uwe, B., Ventura, S., Villalba, C. Vico, Wiedenbeck, S., Zanetti, M., Zantis, F. P., Zilizi, G., Zotto, P., Zucchetta, A.
The Compact Muon Solenoid (CMS) experiment prepares its Phase-2 upgrade for the high-luminosity era of the LHC operation (HL-LHC). Due to the increase of occupancy, trigger latency and rates, the full electronics of the CMS Drift Tube (DT) chambers w
Externí odkaz:
http://arxiv.org/abs/2302.01666
Autor:
Grosso, Gaia, Lai, Nicolò, Letizia, Marco, Pazzini, Jacopo, Rando, Marco, Wulzer, Andrea, Zanetti, Marco
We present a machine learning based approach for real-time monitoring of particle detectors. The proposed strategy evaluates the compatibility between incoming batches of experimental data and a reference sample representing the data behavior in norm
Externí odkaz:
http://arxiv.org/abs/2301.08917
Autor:
Messineo, G., Antonini, P., Benettoni, M., Borghesani, A.F., Braggio, C., Calabrese, R., Carugno, G., Chiossi, F., Dainelli, A., Gasparini, U., Gonella, F., Guarise, M., Khanbekyan, A., Lombardi, A., Mariotti, E., Pazzini, J., Ruoso, G., Tomassetti, L., Zanetti, M.
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A December 2024 1069
The majority of high energy physics experiments rely on data acquisition and hardware-based trigger systems performing a number of stringent selections before storing data for offline analysis. The online reconstruction and selection performed at the
Externí odkaz:
http://arxiv.org/abs/2111.05155
Autor:
Amapane, N., Antonelli, M., Anulli, F., Ballerini, G., Bandiera, L., Bartosik, N., Bauce, M., Bertolin, A., Biino, C., Garcia, O. R. Blanco, Boscolo, M., Brizzolari, C., Cappati, A., Casaburo, F., Casarsa, M., Cavoto, G., Cesarini, G., Collamati, F., Cotto, G., Curatolo, C., Di Nardo, R., Gonella, F., Hoh, S., Iafrati, M., Iacoangeli, F., Kiani, B., Voti, R. Li, Lucchesi, D., Mascagna, V., Paccagnella, A., Pastrone, N., Pazzini, J., Pelliccioni, M., Ponzio, B., Prest, M., Ricci, M., Rosati, S., Rossin, R., Rotondo, M., Planell, O. Sans, Sestini, L., Soldani, M., Triossi, A., Vallazza, E., Ventura, S., Zanetti, M.
The investigation of the energy frontier in physics requires novel concepts for future colliders. The idea of a muon collider is very appealing since it would allow to study particle collisions at up to tens of TeV energy, while offering a cleaner ex
Externí odkaz:
http://arxiv.org/abs/2105.12624