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Collins and Sivers asymmetries for pions and kaons in muon-deuteron DIS

Autor: The COMPASS Collaboration, Alekseev, M., Alexakhin, V. Yu., Alexandrov, Yu., Alexeev, G. D., Amoroso, A., Arbuzov, A., Badełek, B., Balestra, F., Ball, J., Barth, J., Baum, G., Bedfer, Y., Bernet, C., Bertini, R., Bettinelli, M., Birsa, R., Bisplinghoff, J., Bordalo, P., Bradamante, F., Bravar, A., Bressan, A., Brona, G., Burtin, E., Bussa, M. P., Chapiro, A., Chiosso, M., Cicuttin, A., Colantoni, M., Costa, S., Crespo, M. L., Torre, S. Dalla, Dafni, T., Das, S., Dasgupta, S. S., De Masi, R., Dedek, N., Denisov, O. Yu., Dhara, L., Diaz, V., Dinkelbach, A. M., Donskov, S. V., Dorofeev, V. A., Doshita, N., Duic, V., Dünnweber, W., Eversheim, P. D., Efremov, A. V., Eyrich, W., Faessler, M., Falaleev, V., Ferrero, A., Ferrero, L., Finger, M., Finger Jr., M., Fischer, H., Franco, C., Franz, J., Friedrich, J. M., Frolov, V., Garfagnini, R., Gautheron, F., Gavrichtchouk, O. P., Gazda, R., Gerassimov, S., Geyer, R., Giorgi, M., Gobbo, B., Goertz, S., Gorin, A. M., Grabmüller, S., Grajek, O. A., Grasso, A., Grube, B., Gushterski, R., Guskov, A., Haas, F., Hannappel, J., von Harrach, D., Hasegawa, T., Heckmann, J., Hedicke, S., Heinsius, F. H., Hermann, R., Heß, C., Hinterberger, F., von Hodenberg, M., Horikawa, N., Horikawa, S., d'Hose, N., Ilgner, C., Ioukaev, A. I., Ishimoto, S., Ivanov, O., Ivanshin, Yu., Iwata, T., Jahn, R., Janata, A., Jasinski, P., Joosten, R., Jouravlev, N. I., Kabuß, E., Kang, D., Ketzer, B., Khaustov, G. V., Khokhlov, Yu. A., Kisselev, Yu., Klein, F., Klimaszewski, K., Koblitz, S., Koivuniemi, J. H., Kolosov, V. N., Komissarov, E. V., Kondo, K., Königsmann, K., Konorov, I., Konstantinov, V. F., Korentchenko, A. S., Korzenev, A., Kotzinian, A. M., Koutchinski, N. A., Kouznetsov, O., Kral, A., Kravchuk, N. P., Kroumchtein, Z. V., Kuhn, R., Kunne, F., Kurek, K., Ladygin, M. E., Lamanna, M., Goff, J. M. Le, Lednev, A. A., Lehmann, A., Levorato, S., Lichtenstadt, J., Liska, T., Ludwig, I., Maggiora, A., Maggiora, M., Magnon, A., Mallot, G. K., Mann, A., Marchand, C., Marroncle, J., Martin, A., Marzec, J., Massmann, F., Matsuda, T., Maximov, A. N., Meyer, W., Mielech, A., Mikhailov, Yu. V., Moinester, M. A., Mutter, A., Nagaytsev, A., Nagel, T., Nähle, O., Nassalski, J., Neliba, S., Nerling, F., Neubert, S., Neyret, D. P., Nikolaenko, V. I., Nikolaev, K., Olshevsky, A. G., Ostrick, M., Padee, A., Pagano, P., Panebianco, S., Panknin, R., Panzieri, D., Paul, S., Pawlukiewicz-Kaminska, B., Peshekhonov, D. V., Peshekhonov, V. D., Piragino, G., Platchkov, S., Pochodzalla, J., Polak, J., Polyakov, V. A., Pretz, J., Procureur, S., Quintans, C., Rajotte, J. -F., Ramos, S., Rapatsky, V., Reicherz, G., Reggiani, D., Richter, A., Robinet, F., Rocco, E., Rondio, E., Rozhdestvensky, A. M., Ryabchikov, D. I., Samoylenko, V. D., Sandacz, A., Santos, H., Sapozhnikov, M. G., Sarkar, S., Savin, I. A., Schiavon, P., Schill, C., Schmitt, L., Schönmeier, P., Schröder, W., Shevchenko, O. Yu., Siebert, H. -W., Silva, L., Sinha, L., Sissakian, A. N., Slunecka, M., Smirnov, G. I., Sosio, S., Sozzi, F., Srnka, A., Stinzing, F., Stolarski, M., Sugonyaev, V. P., Sulc, M., Sulej, R., Tchalishev, V. V., Tessaro, S., Tessarotto, F., Teufel, A., Tkatchev, L. G., Venugopal, G., Virius, M., Vlassov, N. V., Vossen, A., Webb, R., Weise, E., Weitzel, Q., Windmolders, R., Wirth, S., Wiślicki, W., Wollny, H., Zaremba, K., Zavertyaev, M., Zemlyanichkina, E., Zhao, J., Ziegler, R., Zvyagin, A.

Publikováno v: Phys.Lett.B673:127-135,2009

The measurements of the Collins and Sivers asymmetries of identified hadrons produced in deep-inelastic scattering of 160 GeV/c muons on a transversely polarised 6LiD target at COMPASS are presented. The results for charged pions and charged and neut

Externí odkaz: http://arxiv.org/abs/0802.2160

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Optimizing space cooling of a nearly zero energy building via model predictive control: Energy cost vs comfort

Autor: Ascione F., De Masi R. F., Festa V., Mauro G. M., Vanoli G. P.

Publikováno v: Energy and Buildings. 278:112664

The space conditioning of buildings is liable for more than 10 % of World final energy uses and related CO2-eq emissions. Such share must be drastically reduced to pursue sustainability by optimizing both energy design and devices control. In this fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eacf9a11c60a95546da99e954a7c5ba3
https://doi.org/10.1016/j.enbuild.2022.112664

Machine learning to predict building energy performance in different climates

Autor: Aruta G., Ascione F., Boettcher O., De Masi R. F., Mauro G. M., Vanoli G. P.

Publikováno v: IOP Conference Series: Earth and Environmental Science. 1078:012137

Digitalization is sweeping the world of buildings. Notably, the use of machine and deep learning techniques to develop buildings’ digital twins is becoming crucial to foster the energy transition of the construction sector and a sustainable urban g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1c9993cd7f74f79caa9477408042bc8
https://doi.org/10.1088/1755-1315/1078/1/012137