Zobrazeno 1 - 10
of 66 035
pro vyhledávání: '"Amira, A"'
In this work, we describe various improved implementations of the mapping approach to surface hopping (MASH) for simulating nonadiabatic dynamics. These include time-reversible and piecewise-continuous integrators, which is only formally possible bec
Externí odkaz:
http://arxiv.org/abs/2412.15976
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
Autor:
Tamagawa, Toru, Enoto, Teruaki, Kitaguchi, Takao, Iwakiri, Wataru, Kato, Yo, Numazawa, Masaki, Mihara, Tatehiro, Takeda, Tomoshi, Ota, Naoyuki, Watanabe, Sota, Aoyama, Amira, Iwata, Satoko, Takahashi, Takuya, Yamasaki, Kaede, Hu, Chin-Ping, Takahashi, Hiromitsu, Yoshida, Yuto, Sato, Hiroki, Hayashi, Shoki, Zhou, Yuanhui, Uchiyama, Keisuke, Jujo, Arata, Odaka, Hirokazu, Tamba, Tsubasa, Taniguchi, Kentaro
NinjaSat is an X-ray CubeSat designed for agile, long-term continuous observations of bright X-ray sources, with the size of 6U ($100\times200\times300$ mm$^3$) and a mass of 8 kg. NinjaSat is capable of pointing at X-ray sources with an accuracy of
Externí odkaz:
http://arxiv.org/abs/2412.03016
Autor:
Boll, Heloisa Oss, Amirahmadi, Ali, Soliman, Amira, Byttner, Stefan, Recamonde-Mendoza, Mariana
Objective: In modern healthcare, accurately predicting diseases is a crucial matter. This study introduces a novel approach using graph neural networks (GNNs) and a Graph Transformer (GT) to predict the incidence of heart failure (HF) on a patient si
Externí odkaz:
http://arxiv.org/abs/2411.19742
This study develops a deep learning-based approach to automate inbound load plan adjustments for a large transportation and logistics company. It addresses a critical challenge for the efficient and resilient planning of E-commerce operations in pres
Externí odkaz:
http://arxiv.org/abs/2411.17502
Autor:
Moronkeji, Oluwadara, Sozio, Fabio, Ghosh, Kamalendu, Meddeb, Amira, Farahani, Amirhossein, Ounaies, Zoubeida, Chasiotis, Ioannis, Lopez-Pamies, Oscar
Elastomers filled with liquid inclusions -- as opposed to conventional solid fillers -- are a recent trend in the soft matter community because of their unique range of mechanical and physical properties. Such properties stem, in part, from the very
Externí odkaz:
http://arxiv.org/abs/2411.16363
Quantized neural networks (QNNs) are increasingly used for efficient deployment of deep learning models on resource-constrained platforms, such as mobile devices and edge computing systems. While quantization reduces model size and computational dema
Externí odkaz:
http://arxiv.org/abs/2411.15246
Autor:
Dohi, Akira, Nishimura, Nobuya, Hirai, Ryosuke, Takeda, Tomoshi, Iwakiri, Wataru, Tamagawa, Toru, Aoyama, Amira, Enoto, Teruaki, Iwata, Satoko, Kato, Yo, Kitaguchi, Takao, Mihara, Tatehiro, Ota, Naoyuki, Takahashi, Takuya, Watanabe, Sota, Yamasaki, Kaede
In February and March 2024, a series of many Type I X-ray bursts from the accreting neutron star SRGA J144459.2$-$604207, which has been identified by multiple X-ray satellites, with the first reports coming from INTEGRAL and NinjaSat. These observat
Externí odkaz:
http://arxiv.org/abs/2411.10993
Autor:
Takeda, Tomoshi, Tamagawa, Toru, Enoto, Teruaki, Kitaguchi, Takao, Kato, Yo, Mihara, Tatehiro, Iwakiri, Wataru, Numazawa, Masaki, Ota, Naoyuki, Watanabe, Sota, Jujo, Arata, Aoyama, Amira, Iwata, Satoko, Takahashi, Takuya, Yamasaki, Kaede, Hu, Chin-Ping, Takahashi, Hiromitsu, Dohi, Akira, Nishimura, Nobuya, Hirai, Ryosuke, Yoshida, Yuto, Sato, Hiroki, Hayashi, Syoki, Zhou, Yuanhui, Uchiyama, Keisuke, Odaka, Hirokazu, Tamba, Tsubasa, Taniguchi, Kentaro
The CubeSat X-ray observatory NinjaSat was launched on 2023 November 11 and has provided opportunities for agile and flexible monitoring of bright X-ray sources. On 2024 February 23, the NinjaSat team started long-term observation of the new X-ray so
Externí odkaz:
http://arxiv.org/abs/2411.10992
Hedging exotic options in presence of market frictions is an important risk management task. Deep hedging can solve such hedging problems by training neural network policies in realistic simulated markets. Training these neural networks may be delica
Externí odkaz:
http://arxiv.org/abs/2410.22568