Zobrazeno 1 - 10
of 5 674
pro vyhledávání: '"BYKOV, P."'
Autor:
Kholupenko, E. E., Badmaev, D. V., Budnev, N. M., Bykov, A. M., Krassilchtchikov, A. M., Kuzmichev, L. A., Bogdanov, A. A., Chichagov, Yu. V., Repman, G. A., Tuboltsev, Yu. V.
The operation of a small-size Cherenkov gamma-ray telescope TAIGA-IACT with camera on SiPMs OnSemi MicroFJ-60035 has been modelled by multiparticle Monte Carlo (MC) methods. The model implies that telescope camera is equipped with two specific types
Externí odkaz:
http://arxiv.org/abs/2410.09228
Autor:
Goncharov, Alexander F., Chen, Huawei, Batyrev, Iskander G., Bykov, Maxim, Brüning, Lukas, Bykova, Elena, Kovalev, Valentin, Mahmood, Mohammad F., Mezouar, Mohamed, Garbarino, Gaston, Wright, Jonathan
We applied synchrotron single-crystal X-ray diffraction in a diamond anvil cell at 48-51 GPa and first-principles theoretical calculations to study the crystal structure of solid atomic iodine at high pressure. We report the synthesis of two phases o
Externí odkaz:
http://arxiv.org/abs/2410.03468
We report the discovery of a short, large amplitude X-ray flare from AT2019vcb (aka Tormund), a tidal disruption event at $z=0.088$. The discovery is based on the data from the SRG/eROSITA X-ray telescope which happened to observe the source seven mo
Externí odkaz:
http://arxiv.org/abs/2409.16908
Autor:
Putley, Henry J., Davies, Bryn, Rodríguez-Fortuño, Francisco J., Bykov, Anton Yu., Zayats, Anatoly V.
Photonic skyrmion and meron lattices are structured light fields with topologically protected textures, analogous to magnetic skyrmions and merons. Here, we report the theoretical existence of mixed skyrmion and meron quasicrystals in an evanescent o
Externí odkaz:
http://arxiv.org/abs/2409.03932
Autor:
Churazov, E., Khabibullin, I., Bykov, A. M., Chugai, N. N., Sunyaev, R. A., Utrobin, V. P., Zinchenko, I. I.
We argue that the North Polar Spur (NPS) and many less prominent structures are formed by gaseous metal-rich plumes associated with star-forming regions (SFRs). The SFRs located at the tangent to the 3-5 kpc rings might be particularly relevant to NP
Externí odkaz:
http://arxiv.org/abs/2408.00752
Autor:
Bykov, Dmitri, Krivorol, Viacheslav
We revisit the classical aspects of $\mathcal{N}=(2,2)$ supersymmetric sigma models with Hermitian symmetric target spaces, using the so-called Gross-Neveu (first-order GLSM) formalism. We reformulate these models for complex Grassmannians in terms o
Externí odkaz:
http://arxiv.org/abs/2407.20423
Autor:
Kashapov, Artem I., Bezus, Evgeni A., Bykov, Dmitry A., Mingazov, Albert A., Doskolovich, Leonid L.
We investigate the topological properties of reflection zeros of three-layer structures consisting of a dielectric layer sandwiched between two metal layers, which can be used as optical differentiators. We show that the reflection zeros possess non-
Externí odkaz:
http://arxiv.org/abs/2407.20001
Autor:
Motz, Georgy A., Soshnikov, Daniil V., Doskolovich, Leonid L., Byzov, Egor V., Bezus, Evgeni A., Bykov, Dmitry A.
We consider the design of cascaded diffractive optical elements (DOEs) for generating specified intensity distributions for several incident beams with different wavelengths. For each incident beam with a given wavelength, the cascaded DOE forms a di
Externí odkaz:
http://arxiv.org/abs/2407.16731
Autor:
Motz, Georgy A., Doskolovich, Leonid L., Soshnikov, Daniil V., Byzov, Egor V., Bezus, Evgeni A., Golovastikov, Nikita V., Bykov, Dmitry A.
We consider the problem of designing a diffractive neural network (DNN) consisting of a set of sequentially placed phase diffractive optical elements (DOEs) and intended for the optical solution of several given classification problems at different o
Externí odkaz:
http://arxiv.org/abs/2407.16486
Autor:
Soshnikov, Daniil V., Doskolovich, Leonid L., Motz, Georgy A., Byzov, Egor V., Bezus, Evgeni A., Bykov, Dmitry A.
A wide range of practically important problems is nowadays efficiently solved using artificial neural networks. This gave momentum to intensive development of their optical implementations, among which, the so-called diffractive neural networks (DNNs
Externí odkaz:
http://arxiv.org/abs/2407.16456