Zobrazeno 1 - 10
of 32 481
pro vyhledávání: '"P Smirnov"'
Autor:
Bern, Zvi, Herrmann, Enrico, Roiban, Radu, Ruf, Michael S., Smirnov, Alexander V., Smirnov, Vladimir A., Zeng, Mao
We compute the potential-graviton contribution to the scattering amplitude, the radial action, and the scattering angle of two extremal black holes in N = 8 supergravity at the fifth post-Minkowskian order to next-to-leading order in a large mass exp
Externí odkaz:
http://arxiv.org/abs/2406.01554
The bounds on parameters of the eV and higher scale sterile neutrinos from the $0\nu \beta \beta$ decay have been refined and updated. We present a simple and compact analytic expression for the bound in the $\Delta m^2_{41} - \sin^2 2\theta_{14}$ pl
Externí odkaz:
http://arxiv.org/abs/2408.01488
We investigate the effects of dark matter annihilation on objects with masses close to the sub-stellar limit, finding that the minimum mass for stable hydrogen burning is larger than the $\sim0.075 M_\odot $ value predicted in the Standard Model. Bel
Externí odkaz:
http://arxiv.org/abs/2408.00822
Autor:
Merluzzi, P., Venturi, T., Busarello, G., Di Gennaro, G., Giacintucci, S., Casasola, V., Krajnovic, D., Vernstrom, T., Carretti, E., Smirnov, O., Trehaeven, K., Anderson, C. S., Chesters, J., Heald, G., Hopkins, A. M., Koribalski, B.
We study the radio continuum emission of four galaxies experiencing ram-pressure stripping in four clusters of the Shapley supercluster at redshift z~0.05. Multi-band (235-1367 MHz) radio data, complemented by integral-field spectroscopy, allow us to
Externí odkaz:
http://arxiv.org/abs/2407.21628
Autor:
Charles, N., Kern, N. S., Pascua, R., Bernardi, G., Bester, L., Smirnov, O., Acedo, E. d. L., Abdurashidova, Z., Adams, T., Aguirre, J. E., Baartman, R., Beardsley, A. P., Berkhout, L. M., Billings, T. S., Bowman, J. D., Bull, P., Burba, J., Byrne, R., Carey, S., Chen, K., Choudhuri, S., Cox, T., DeBoer, D. R., Dexter, M., Dillon, J. S., Dynes, S., Eksteen, N., Ely, J., Ewall-Wice, A., Fritz, R., Furlanetto, S. R., Gale-Sides, K., Garsden, H., Gehlot, B. K., Ghosh, A., Gorce, A., Gorthi, D., Halday, Z., Hazelton, B. J., Hewitt, J. N., Hickish, J., Huang, T., Jacobs, D. C., Josaitis, A., Kerrigan, J., Kittiwisit, P., Kolopanis, M., Lanman, A., Liu, A., Ma, Y. -Z., MacMahon, D. H. E., Malan, L., Malgas, K., Malgas, C., Marero, B., Martinot, Z. E., McBride, L., Mesinger, A., Mohamed-Hinds, N., Molewa, M., Morales, M. F., Murray, S., Nikolic, B., Nuwegeld, H., Parsons, A. R., Patra, N., Plante, P. L., Qin, Y., Rath, E., Razavi-Ghods, N., Riley, D., Robnett, J., Rosie, K., Santos, M. G., Sims, P., Singh, S., Storer, D., Swarts, H., Tan, J., Wilensky, M. J., Williams, P. K. G., Wyngaarden, P. v., Zheng, H.
The 21 cm transition from neutral Hydrogen promises to be the best observational probe of the Epoch of Reionisation (EoR). This has led to the construction of low-frequency radio interferometric arrays, such as the Hydrogen Epoch of Reionization Arra
Externí odkaz:
http://arxiv.org/abs/2407.20923
Autor:
Matkin, Nikita, Smirnov, Aleksei, Usanin, Mikhail, Ivanov, Egor, Sobyanin, Kirill, Paklina, Sofiia, Parshakov, Petr
The labor market is undergoing rapid changes, with increasing demands on job seekers and a surge in job openings. Identifying essential skills and competencies from job descriptions is challenging due to varying employer requirements and the omission
Externí odkaz:
http://arxiv.org/abs/2407.19816
We propose selective debiasing -- an inference-time safety mechanism that aims to increase the overall quality of models in terms of prediction performance and fairness in the situation when re-training a model is prohibitive. The method is inspired
Externí odkaz:
http://arxiv.org/abs/2407.19345
We propose an experimental study of adaptive time-stepping methods for efficient modeling of the aggregation-fragmentation kinetics. Precise modeling of this phenomena usually requires utilization of the large systems of nonlinear ordinary differenti
Externí odkaz:
http://arxiv.org/abs/2407.16559
Over the last decade, there has been increasing interest in autonomous driving systems. Reinforcement Learning (RL) shows great promise for training autonomous driving controllers, being able to directly optimize a combination of criteria such as eff
Externí odkaz:
http://arxiv.org/abs/2407.16857
Retrieval-augmented generation (RAG) techniques are widely used today to retrieve and present information in a conversational format. This paper presents a set of enhancements to traditional RAG techniques, focusing on large language models (LLMs) fi
Externí odkaz:
http://arxiv.org/abs/2407.12057