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pro vyhledávání: '"Marini, P"'
Disentangling the stellar population in the central galaxy from the intrahalo light can help us shed light on the formation history of the host halo, as the properties of the stellar components are expected to retain traces of its formation history.
Externí odkaz:
http://arxiv.org/abs/2407.00838
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:
CUORE Collaboration, Adams, D. Q., Alduino, C., Alfonso, K., Avignone III, F. T., Azzolini, O., Bari, G., Bellini, F., Benato, G., Beretta, M., Biassoni, M., Branca, A., Brofferio, C., Bucci, C., Camilleri, J., Caminata, A., Campani, A., Cao, J., Capelli, S., Capelli, C., Cappelli, L., Cardani, L., Carniti, P., Casali, N., Celi, E., Chiesa, D., Clemenza, M., Copello, S., Cremonesi, O., Creswick, R. J., D'Addabbo, A., Dafinei, I., Del Corso, F., Dell'Oro, S., Di Domizio, S., Di Lorenzo, S., Dixon, T., Dompè, V., Fang, D. Q., Fantini, G., Faverzani, M., Ferri, E., Ferroni, F., Fiorini, E., Franceschi, M. A., Freedman, S. J., Fu, S. H., Fujikawa, B. K., Ghislandi, S., Giachero, A., Girola, M., Gironi, L., Giuliani, A., Gorla, P., Gotti, C., Guillaumon, P. V., Gutierrez, T. D., Han, K., Hansen, E. V., Heeger, K. M., Helis, D. L., Huang, H. Z., Keppel, G., Kolomensky, Yu. G., Kowalski, R., Liu, R., Ma, L., Ma, Y. G., Marini, L., Maruyama, R. H., Mayer, D., Mei, Y., Moore, M. N., Napolitano, T., Nastasi, M., Nones, C., Norman, E. B., Nucciotti, A., Nutini, I., O'Donnell, T., Olmi, M., Oregui, B. T., Ouellet, J. L., Pagan, S., Pagliarone, C. E., Pagnanini, L., Pallavicini, M., Pattavina, L., Pavan, M., Pessina, G., Pettinacci, V., Pira, C., Pirro, S., Pottebaum, E. G., Pozzi, S., Previtali, E., Puiu, A., Quitadamo, S., Ressa, A., Rosenfeld, C., Schmidt, B., Sharma, V., Singh, V., Sisti, M., Speller, D., Stark, P., Surukuchi, P. T., Taffarello, L., Tomei, C., Torres, A., Torres, J. A., Vetter, K. J., Vignati, M., Wagaarachchi, S. L., Welliver, B., Wilson, J., Wilson, K., Winslow, L. A., Zimmermann, S., Zucchelli, S.
The Cryogenic Underground Observatory for Rare Events (CUORE) is a detector array comprised by 988 5$\;$cm$\times$5$\;$cm$\times$5$\;$cm TeO$_2$ crystals held below 20 mK, primarily searching for neutrinoless double-beta decay in $^{130}$Te. Unpreced
Externí odkaz:
http://arxiv.org/abs/2406.12380
In games, and more generally in the field of software development, early detection of bugs is vital to maintain a high quality of the final product. Automated tests are a powerful tool that can catch a problem earlier in development by executing peri
Externí odkaz:
http://arxiv.org/abs/2406.07084
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 3771-3780
Deepfake detection aims to contrast the spread of deep-generated media that undermines trust in online content. While existing methods focus on large and complex models, the need for real-time detection demands greater efficiency. With this in mind,
Externí odkaz:
http://arxiv.org/abs/2406.04932
Autor:
Andreev, Yu. M., Antonov, A., Torres, M. A. Ayala, Banerjee, D., Oberhauser, B. Banto, Bernhard, J., Bisio, P., Celentano, A., Charitonidis, N., Cooke, D., Crivelli, P., Depero, E., Dermenev, A. V., Donskov, S. V., Dusaev, R. R., Enik, T., Frolov, V. N., Gertsenberger, S. V., Girod, S., Gninenko, S. N., Hosgen, M., Kachanov, V. A., Kambar, Y., Karneyeu, A. E., Kekelidze, G. D., Ketzer, B., Kirpichnikov, D. V., Kolosov, V. N., Kramarenko, V. A., Kravchuk, L. V., Krasnikov, N. V., Kuleshov, S. V., Lyubovitskij, V. E., Marini, A., Marsicano, L., Matveev, V. A., Fredes, R. Mena, Yanssen, R. G. Mena, Bueno, L. Molina, Mongillo, M., Peshekhonov, D. V., Polyakov, V. A., Radics, B., Salamatin, K. M., Samoylenko, V. D., Sieber, H., Shchukin, D. A., Soto, O., Tikhomirov, V. O., Tlisova, I. V., Toropin, A. N., Tuzi, M., Volkov, P. V., Volkov, V. Yu., Voronchikhin, I. V., Zamora-Saa, J., Zhevlakov, A. S.
We present the first results from a proof-of-concept search for dark sectors via invisible decays of pseudoscalar $\eta$ and $\eta'$ mesons in the NA64h experiment at the CERN SPS. Our novel technique uses the charge-exchange reaction of 50 GeV $\pi^
Externí odkaz:
http://arxiv.org/abs/2406.01990
Autor:
Parodi, Davide, Dighero, Edoardo, Biddau, Giorgia, D'Amico, Francesca, Bauckneht, Matteo, Marini, Cecilia, Garbarino, Sara, Campi, Cristina, Piana, Michele, Sambuceti, Gianmario
Purpose: Analysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Nevertheless, tumor lesion almost contains inflammatory infiltrates whose cells
Externí odkaz:
http://arxiv.org/abs/2406.00382
Autor:
Steinmetz, Raul, Kich, Victor A., Krever, Henrique, Mazzarolo, Joao D. Rigo, Grando, Ricardo B., Marini, Vinicius, Trois, Celio, Nieuwenhuizen, Ard
Deep learning, particularly Convolutional Neural Networks (CNNs), has gained significant attention for its effectiveness in computer vision, especially in agricultural tasks. Recent advancements in instance segmentation have improved image classifica
Externí odkaz:
http://arxiv.org/abs/2406.00313
We consider a system of $N$ interacting particles, described by SDEs driven by Poisson random measures, where the coefficients depend on the empirical measure of the system. Every particle jumps with a jump rate depending on its position. When this h
Externí odkaz:
http://arxiv.org/abs/2405.20831
Autor:
Zullo, Ludovica, Setnikar, Grégory, Pawbake, Amit, Cren, Tristan, Brun, Christophe, Cordiez, Justine, Sasaki, Shunsuke, Cario, Laurent, Marini, Giovanni, Calandra, Matteo, Méasson, Marie-Aude
Misfit layer compounds, heterostructures composed by a regular alternating stacking of rocksalt monochalcogenides bilayers and few-layer transition metal dichalchogenides, are an emergent platform to investigate highly doped transition metal dichalco
Externí odkaz:
http://arxiv.org/abs/2405.18939