AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

Autor: Lang, Simon, Alexe, Mihai, Clare, Mariana C. A., Roberts, Christopher, Adewoyin, Rilwan, Bouallègue, Zied Ben, Chantry, Matthew, Dramsch, Jesper, Dueben, Peter D., Hahner, Sara, Maciel, Pedro, Prieto-Nemesio, Ana, O'Brien, Cathal, Pinault, Florian, Polster, Jan, Raoult, Baudouin, Tietsche, Steffen, Leutbecher, Martin

Over the last three decades, ensemble forecasts have become an integral part of forecasting the weather. They provide users with more complete information than single forecasts as they permit to estimate the probability of weather events by represent

Externí odkaz: http://arxiv.org/abs/2412.15832

Underwater Image Quality Assessment: A Perceptual Framework Guided by Physical Imaging

Autor: Xian, Weizhi, Zhou, Mingliang, U, Leong Hou, Shujun, Lang, Fang, Bin, Xiang, Tao, Shang, Zhaowei

In this paper, we propose a physically imaging-guided framework for underwater image quality assessment (UIQA), called PIGUIQA. First, we formulate UIQA as a comprehensive problem that considers the combined effects of direct transmission attenuation

Externí odkaz: http://arxiv.org/abs/2412.15527

HQET sum rules for matrix elements of dimension-six four-quark operators for meson lifetimes within and beyond the Standard Model

Autor: Black, Matthew, Lang, Martin, Lenz, Alexander, Wüthrich, Zachary

Theory predictions of heavy-hadron lifetime ratios critically depend on precise determinations of the dimension-six spectator effects arising from the double insertion of the weak effective $|\Delta B| = 1$ Hamiltonian. In the presence of beyond-stan

Externí odkaz: http://arxiv.org/abs/2412.13270

Multiband Optical Variability of the Blazar 3C 454.3 on Diverse Timescales

Autor: Dogra, Karan, Gupta, Alok C., Raiteri, C. M., Villata, M., Wiita, Paul J., Kurtanidze, S. O., Jorstad, S. G., Bachev, R., Damljanovic, G., Lorey, C., Savchenko, S. S., Vince, O., Abdelkareem, M., Aceituno, F. J., Acosta-Pulido, J. A., Agudo, I., Andreuzzi, G., Ata, S. A., Baida, G. V., Barbieri, L., Blinov, D. A., Bonnoli, G., Borman, G. A., Carnerero, M. I., Carosati, D., Casanova, V., Chen, W. P., Cui, Lang, Elhosseiny, E. G., Elsaesser, D., Escudero, J., Feige, M., Gazeas, K., Gennadievna, L. E., Grishina, T. S., Gu, Minfeng, Hagen-Thorn, V. A., Hemrich, F., Hsiao, H. Y., Ismail, M., Ivanidze, R. Z., Jovanovic, M. D., Kamel, T. M., Kimeridze, G. N., Kopatskaya, E. N., Kuberek, D., Kurtanidze, O. M., Kurtenkov, A., Larionov, V. M., Larionova, L. V., Liao, M., Lin, H. C., Mannheim, K., Marchini, A., Marinelli, C., Marscher, A. P., Morcuende, D., Morozova, D. A., Nazarov, S. V., Nikolashvili, M. G., Reinhart, D., Santos, J. O., Scherbantin, A., Semkov, E., Shishkina, E. V., Sigua, L. A., Singh, A. K., Sota, A., Steineke, R., Stojanovic, M., Strigachev, A., Takey, A., Tawfeek, Amira A., Troitskiy, I. S., Troitskaya, Y. V., Tsai, An-Li, Vasilyev, A. A., Vrontaki, K., Zhang, Zhongli, Zhovtan, A. V., Zottmann, N., Zuo, Wenwen

Publikováno v: ApJS(2025) 276:1

Due to its peculiar and highly variable nature, the blazar 3C 454.3 has been extensively monitored by the WEBT team. Here, we present for the first time these long-term optical flux and color variability results using data acquired in B, V, R, and I

Externí odkaz: http://arxiv.org/abs/2412.10766

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving

Autor: Zheng, Wenzhao, Wu, Junjie, Zheng, Yao, Zuo, Sicheng, Xie, Zixun, Yang, Longchao, Pan, Yong, Hao, Zhihui, Jia, Peng, Lang, Xianpeng, Zhang, Shanghang

Vision-based autonomous driving shows great potential due to its satisfactory performance and low costs. Most existing methods adopt dense representations (e.g., bird's eye view) or sparse representations (e.g., instance boxes) for decision-making, w

Externí odkaz: http://arxiv.org/abs/2412.10371