Zobrazeno 1 - 10
of 6 141
pro vyhledávání: '"Puglisi, P."'
Autor:
Uematsu, Ryosuke, Ueda, Yoshihiro, Alexander, David M., Swinbank, A. M., Smail, Ian, Andonie, Carolina, Chen, Chian-Chou, Dudzeviciute, Ugne, Ikarashi, Soh, Kohno, Kotaro, Matsuda, Yuichi, Puglisi, Annagrazia, Umehata, Hideki, Wang, Wei-Hao
We investigate the properties of active galactic nuclei (AGNs) in the brightest submillimeter galaxies (SMGs) in the COSMOS field. We utilize the bright sample of ALMA/SCUBA-2 COSMOS Survey (AS2COSMOS), which consists of 260 SMGs with $S_{\mathrm{870
Externí odkaz:
http://arxiv.org/abs/2412.09737
In this note, we study equivariant versions of Stolz' R-groups, the positive scalar curvature structure groups $R_n(X)^G$, for proper actions of discrete groups $G$. We define the concept of a fundamental groupoid functor for a $G$-space, encapsulati
Externí odkaz:
http://arxiv.org/abs/2412.07955
Autor:
Taylor, Dominic J., Swinbank, A. M., Smail, Ian, Puglisi, Annagrazia, Birkin, Jack E., Dudzeviciute, Ugne, Chen, Chian-Chou, Ikarashi, S., Castillo, Marta Frias, Weiss, Axel, Li, Zefeng, Chapman, Scott C., Jansen, Jasper, Jimenez-Andrade, E. F., Morabito, Leah K., Murphy, Eric J., Rybak, Matus, van der Werf, P. P.
The molecular gas in the interstellar medium (ISM) of star-forming galaxy populations exhibits diverse physical properties. We investigate the $^{12}$CO excitation of twelve dusty, luminous star-forming galaxies at $z \sim 2-4$ by combining observati
Externí odkaz:
http://arxiv.org/abs/2411.14271
This article introduces Transformer Quantile Regression Neural Networks (TQRNNs), a novel data-driven solution for real-time machine failure prediction in manufacturing contexts. Our objective is to develop an advanced predictive maintenance model ca
Externí odkaz:
http://arxiv.org/abs/2411.14443
Autor:
Carralot, F., Carones, A., Krachmalnicoff, N., Ghigna, T., Novelli, A., Pagano, L., Piacentini, F., Baccigalupi, C., Adak, D., Anand, A., Aumont, J., Azzoni, S., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Basyrov, A., Bersanelli, M., Bortolami, M., Brinckmann, T., Cacciotti, F., Campeti, P., Carinos, E., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Conenna, G., Coppi, G., Coppolecchia, A., Cuttaia, F., de Bernardis, P., De Lucia, M., Della Torre, S., Di Giorgi, E., Diego-Palazuelos, P., Essinger-Hileman, T., Ferreira, E., Finelli, F., Franceschet, C., Galloni, G., Galloway, M., Gervasi, M., Génova-Santos, R. T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Hivon, E., Ishino, H., Jost, B., Kohri, K., Lamagna, L., Leloup, C., Lembo, M., Levrier, F., Lonappan, A. I., López-Caniego, M., Luzzi, G., Macias-Perez, J., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Micheli, S., Monelli, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagano, Y., Nagata, R., Namikawa, T., Natoli, P., Obata, I., Occhiuzzi, A., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pavlidou, V., Pisano, G., Polenta, G., Porcelli, L., Puglisi, G., Raffuzzi, N., Remazeilles, M., Rubiño-Martín, J. A., Ruiz-Granda, M., Sanghavi, J., Scott, D., Shiraishi, M., Sullivan, R. M., Takase, Y., Tassis, K., Terenzi, L., Tomasi, M., Tristram, M., Vacher, L., van Tent, B., Vielva, P., Weymann-Despres, G., Wollack, E. J., Zannoni, M., Zhou, Y.
Future cosmic microwave background (CMB) experiments are primarily targeting a detection of the primordial $B$-mode polarisation. The faintness of this signal requires exquisite control of systematic effects which may bias the measurements. In this w
Externí odkaz:
http://arxiv.org/abs/2411.02080
Autor:
Lucente, Dario, Baldovin, Marco, Cecconi, Fabio, Cencini, Massimo, Cocciaglia, Niccolò, Puglisi, Andrea, Viale, Massimiliano, Vulpiani, Angelo
Current research in statistical mechanics mostly concerns the investigation of out-of-equilibrium, irreversible processes, which are ubiquitous in nature and still far from being theoretically understood. Even the precise characterization of irrevers
Externí odkaz:
http://arxiv.org/abs/2410.15925
We present a simplified theory for semiflexible flagella under the action of a traveling-wave perturbation that emulates the organized active forces generated by molecular motors, capable of inducing beating patterns to the filament. By modeling the
Externí odkaz:
http://arxiv.org/abs/2410.00864
Autor:
Bertola, E., Circosta, C., Ginolfi, M., Mainieri, V., Vignali, C., Rivera, G. Calistro, Ward, S. R., Lopez, I. E., Pensabene, A., Alexander, D. M., Bischetti, M., Brusa, M., Cappi, M., Comastri, A., Contursi, A., Cicone, C., Cresci, G., Dadina, M., D'Amato, Q., Feltre, A., Harrison, C. M., Kakkad, D., Lamperti, I., Lanzuisi, G., Mannucci, F., Marconi, A., Perna, M., Piconcelli, E., Puglisi, A., Ricci, F., Scholtz, J., Tozzi, G., Vietri, G., Zamorani, G., Zappacosta, L.
The energy released by AGN has the potential to heat or remove the gas of the ISM, thus likely impacting the cold molecular gas reservoir of host galaxies at first, with star formation following on longer timescales. Previous works on high-z galaxies
Externí odkaz:
http://arxiv.org/abs/2408.16821
Autor:
Stepney, Matthew, Banerji, Manda, Tang, Shenli, Hewett, Paul C., Temple, Matthew J., Wethers, Clare F., Puglisi, Annagrazia, Molyneux, Stephen J.
We present a deep X-Shooter rest-frame UV to optical spectral analysis of the heavily reddened quasar, ULASJ2315+043 at z=2.566, known to reside in a major-merger host galaxy. The rest-frame optical is best-fit by a dust-reddened quasar E(B-V)_QSO =
Externí odkaz:
http://arxiv.org/abs/2408.10403
Autor:
Amerini, Irene, Barni, Mauro, Battiato, Sebastiano, Bestagini, Paolo, Boato, Giulia, Bonaventura, Tania Sari, Bruni, Vittoria, Caldelli, Roberto, De Natale, Francesco, De Nicola, Rocco, Guarnera, Luca, Mandelli, Sara, Marcialis, Gian Luca, Micheletto, Marco, Montibeller, Andrea, Orru', Giulia, Ortis, Alessandro, Perazzo, Pericle, Puglisi, Giovanni, Salvi, Davide, Tubaro, Stefano, Tonti, Claudia Melis, Villari, Massimo, Vitulano, Domenico
AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and Diffusion Models (DMs) are the main frameworks used to create Deepfake
Externí odkaz:
http://arxiv.org/abs/2408.00388