Zobrazeno 1 - 10
of 13 618
pro vyhledávání: '"Borràs A"'
Autor:
Krause, Claudius, Giannelli, Michele Faucci, Kasieczka, Gregor, Nachman, Benjamin, Salamani, Dalila, Shih, David, Zaborowska, Anna, Amram, Oz, Borras, Kerstin, Buckley, Matthew R., Buhmann, Erik, Buss, Thorsten, Cardoso, Renato Paulo Da Costa, Caterini, Anthony L., Chernyavskaya, Nadezda, Corchia, Federico A. G., Cresswell, Jesse C., Diefenbacher, Sascha, Dreyer, Etienne, Ekambaram, Vijay, Eren, Engin, Ernst, Florian, Favaro, Luigi, Franchini, Matteo, Gaede, Frank, Gross, Eilam, Hsu, Shih-Chieh, Jaruskova, Kristina, Käch, Benno, Kalagnanam, Jayant, Kansal, Raghav, Kim, Taewoo, Kobylianskii, Dmitrii, Korol, Anatolii, Korcari, William, Krücker, Dirk, Krüger, Katja, Letizia, Marco, Li, Shu, Liu, Qibin, Liu, Xiulong, Loaiza-Ganem, Gabriel, Madula, Thandikire, McKeown, Peter, Melzer-Pellmann, Isabell-A., Mikuni, Vinicius, Nguyen, Nam, Ore, Ayodele, Schweitzer, Sofia Palacios, Pang, Ian, Pedro, Kevin, Plehn, Tilman, Pokorski, Witold, Qu, Huilin, Raikwar, Piyush, Raine, John A., Reyes-Gonzalez, Humberto, Rinaldi, Lorenzo, Ross, Brendan Leigh, Scham, Moritz A. W., Schnake, Simon, Shimmin, Chase, Shlizerman, Eli, Soybelman, Nathalie, Srivatsa, Mudhakar, Tsolaki, Kalliopi, Vallecorsa, Sofia, Yeo, Kyongmin, Zhang, Rui
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of increasing dimensionality, ranging from a few hundred voxels to a few t
Externí odkaz:
http://arxiv.org/abs/2410.21611
Autor:
Peláez-Torres, A., Esparza-Borges, E., Pallé, E., Parviainen, H., Murgas, F., Morello, G., Zapatero-Osorio, M. R., Korth, J., Narita, N., Fukui, A., Carleo, I., Luque, R., García, N. Abreu, Barkaoui, K., Boyle, A., Béjar, V. J. S., Calatayud-Borras, Y., Cheryasov, D. V., Christiansen, J. L., Ciardi, D. R., Enoc, G., Essack, Z., Fukuda, I., Furesz, G., Galán, D., Geraldía-González, S., Giacalone, S., Gill, H., Gonzales, E. J., Hayashi, Y., Ikuta, K., Isogai, K., Kagetani, T., Kawai, Y., Kawauchi, K., Klagyvik, P., Kodama, T., Kusakabe, N., Laza-Ramos, A., de Leon, J. P., Livingston, J. H., Lund, M. B., Madrigal-Aguado, A., Meni, P., Mori, M., Torres, S. Muñoz, Orell-Miquel, J., Puig, M., Ricker, G., Sánchez-Benavente, M., Savel, A. B., Schlieder, J. E., Schwarz, R. P., Sefako, R., Sosa-Guillén, P., Stangret, M., Stockdale, C., Tamura, M., Terada, Y., Twicken, J. D., Watanabe, N., Winn, J., Zheltoukhov, S. G., Ziegler, C., Zou, Y.
The TESS mission searches for transiting exoplanets by monitoring the brightness of hundreds of thousands of stars across the entire sky. M-type planet hosts are ideal targets for this mission due to their smaller size and cooler temperatures, which
Externí odkaz:
http://arxiv.org/abs/2409.07400
Autor:
Hayashi, Yuya, Narita, Norio, Fukui, Akihiko, Changeat, Quentin, Kawauchi, Kiyoe, Ikuta, Kai, Palle, Enric, Murgas, Felipe, Parviainen, Hannu, Esparza-Borges, Emma, Peláez-Torres, Alberto, Gallardo, Pedro Pablo Meni, Morello, Giuseppe, Fernández-Rodríguez, Gareb, García, Néstor Abreu, Torres, Sara Muñoz, Borrás, Yéssica Calatayud, Rodríguez, Pilar Montañés, Livingston, John H., Watanabe, Noriharu, de Leon, Jerome P., Kawai, Yugo, Isogai, Keisuke, Mori, Mayuko
We present ground-based photometric observations of secondary eclipses of the hottest known planet KELT-9b using MuSCAT2 and Sinistro. We detect secondary eclipse signals in $i$ and $z_{\rm s}$ with eclipse depths of $373^{+74}_{-75}$ ppm and $638^{+
Externí odkaz:
http://arxiv.org/abs/2408.15698
This paper examines the challenges and advancements in recognizing seals within their natural habitats using conventional photography, underscored by the emergence of machine learning technologies. We used the leopard seal, \emph{Hydrurga leptonyx},
Externí odkaz:
http://arxiv.org/abs/2408.07269
Autor:
Pandey, Shilpi, del Moral, Jaime, Jacob, Stefan, Montes, Laura, Gil-Rostra, Jorge, Frechilla, Alejandro, Karimzadeh, Atefeh, Rico, Victor J., Kantar, Raul, Kandelin, Niklas, Santos, Carmen Lopez, Koivuluoto, Heli, Angurel, Luis, Winkler, Andreas, Borras, Ana, Elipe, Agustin R. Gonzalez
Acoustic waves (AW) have recently emerged as an energy-efficient ice removal procedure compatible with functional and industrial-relevant substrates. However, critical aspects at fundamental and experimental levels have yet to be disclosed to optimiz
Externí odkaz:
http://arxiv.org/abs/2408.05465
Autor:
Nunez-Galvez, Fernando, Garcia-Casas, Xabier, Bernal, Lidia Contreras, Descalzo, Alejandro, Obrero-Perez, Jose Manuel, Espinos, Juan Pedro, Barranco, Angel, Borras, Ana, Sanchez-Valencia, Juan Ramon, Lopez-Santos, Carmen
The stability and reproducibility issues related to metal halide Perovskite Solar Cells (PSCs) have prevented so far from exploiting this highly efficient photovoltaic technology under rainy or even moisture conditions and in combination with drop tr
Externí odkaz:
http://arxiv.org/abs/2407.07581
Autor:
Longhini, Alberta, Wang, Yufei, Garcia-Camacho, Irene, Blanco-Mulero, David, Moletta, Marco, Welle, Michael, Alenyà, Guillem, Yin, Hang, Erickson, Zackory, Held, David, Borràs, Júlia, Kragic, Danica
The realm of textiles spans clothing, households, healthcare, sports, and industrial applications. The deformable nature of these objects poses unique challenges that prior work on rigid objects cannot fully address. The increasing interest within th
Externí odkaz:
http://arxiv.org/abs/2407.01361
Autor:
Rickhaus, Peter, Pylypovskyi, Oleksandr V., Seniutinas, Gediminas, Borras, Vicent, Lehmann, Paul, Wagner, Kai, Žaper, Liza, Prusik, Paulina J., Makushko, Pavlo, Veremchuk, Igor, Kosub, Tobias, Hübner, René, Sheka, Denis D., Maletinsky, Patrick, Makarov, Denys
Magnetism of oxide antiferromagnets (AFMs) has been studied in single crystals and extended thin films. The properties of AFM nanostructures still remain underexplored. Here, we report on the fabrication and magnetic imaging of granular 100-nm-thick
Externí odkaz:
http://arxiv.org/abs/2406.19085
Autor:
Marini, Niccolò, Marchesin, Stefano, Ferris, Lluis Borras, Püttmann, Simon, Wodzinski, Marek, Fratti, Riccardo, Podareanu, Damian, Caputo, Alessandro, Boytcheva, Svetla, Vatrano, Simona, Fraggetta, Filippo, Nagtegaal, Iris, Silvello, Gianmaria, Atzori, Manfredo, Müller, Henning
The increasing availability of biomedical data is helping to design more robust deep learning (DL) algorithms to analyze biomedical samples. Currently, one of the main limitations to train DL algorithms to perform a specific task is the need for medi
Externí odkaz:
http://arxiv.org/abs/2406.14351
Autor:
Borras, Evan, Marvian, Milad
We present a quantum algorithm for simulating a family of Markovian master equations that can be realized through a probabilistic application of unitary channels and state preparation. Our approach employs a second-order product formula for the Lindb
Externí odkaz:
http://arxiv.org/abs/2406.12748