Zobrazeno 1 - 10
of 3 737
pro vyhledávání: '"Bilous A"'
Autor:
Matsala Maksym, Myroniuk Viktor, Bilous Andrii, Terentiev Andrii, Diachuk Petro, Zadorozhniuk Roman
Publikováno v:
Metsanduslikud Uurimused, Vol 73, Iss 1, Pp 107-124 (2021)
Spatially explicit and consistent mapping of forest biomass is one of the key tasks towards full and appropriate accounting of carbon budgets and productivity potentials at different scales. Landsat imagery coupled with terrestrial-based data and pro
Externí odkaz:
https://doaj.org/article/176a4d51e1ad440aa948ff6d666f86c8
Autor:
Hutin, Hector, Bilous, Pavlo, Ye, Chengzhi, Abdollahi, Sepideh, Cros, Loris, Dvir, Tom, Shah, Tirth, Cohen, Yonatan, Bienfait, Audrey, Marquardt, Florian, Huard, Benjamin
Scaling up quantum computing devices requires solving ever more complex quantum control tasks. Machine learning has been proposed as a promising approach to tackle the resulting challenges. However, experimental implementations are still scarce. In t
Externí odkaz:
http://arxiv.org/abs/2409.05557
Numerical modeling of fermionic many-body quantum systems presents similar challenges across various research domains, necessitating universal tools, including state-of-the-art machine learning techniques. Here, we introduce SOLAX, a Python library d
Externí odkaz:
http://arxiv.org/abs/2408.16915
Modern applications of atomic physics, including the determination of frequency standards, and the analysis of astrophysical spectra, require prediction of atomic properties with exquisite accuracy. For complex atomic systems, high-precision calculat
Externí odkaz:
http://arxiv.org/abs/2408.00477
Autor:
Choudhury, Devarshi, Salmi, Tuomo, Vinciguerra, Serena, Riley, Thomas E., Kini, Yves, Watts, Anna L., Dorsman, Bas, Bogdanov, Slavko, Guillot, Sebastien, Ray, Paul S., Reardon, Daniel J., Remillard, Ronald A., Bilous, Anna V., Huppenkothen, Daniela, Lattimer, James M., Rutherford, Nathan, Arzoumanian, Zaven, Gendreau, Keith C., Morsink, Sharon M., Ho, Wynn C. G.
We report Bayesian inference of the mass, radius and hot X-ray emitting region properties - using data from the Neutron Star Interior Composition ExploreR (NICER) - for the brightest rotation-powered millisecond X-ray pulsar PSR J0437$\unicode{x2013}
Externí odkaz:
http://arxiv.org/abs/2407.06789
Autor:
Bilous, A. V., van Leeuwen, J., Maan, Y., Pastor-Marazuela, I., Oostrum, L. C., Rajwade, K. M., Wang, Y. Y.
We report detections of fast radio bursts (FRBs) from the repeating source FRB 20201124A with Apertif/WSRT and GMRT, and measurements of basic burst properties, especially the dispersion measure (DM) and fluence. Based on comparisons of these propert
Externí odkaz:
http://arxiv.org/abs/2407.05366
Autor:
Schmerwitz, Yorick L. A., Thirion, Louis, Levi, Gianluca, Jónsson, Elvar Ö., Bilous, Pavlo, Jónsson, Hannes, Hansmann, Philipp
We apply a recently proposed computational protocol for a neural-network-supported configuration interaction (NN CI) calculation to the paradigmatic N$_2$ molecule. By comparison of correlation energy, binding energy, and the full dissociation curve
Externí odkaz:
http://arxiv.org/abs/2406.08154
Autor:
Pastor-Marazuela, Inés, van Leeuwen, Joeri, Bilous, Anna, Connor, Liam, Maan, Yogesh, Oostrum, Leon, Petroff, Emily, Vohl, Dany, Hess, Kelley M., Orrù, Emanuela, Sclocco, Alessio, Wang, Yuyang
Understanding the origin of fast radio bursts (FRBs) has become the main science driver of recent dedicated FRB surveys. Between July 2019 and February 2022, we carried out ALERT, an FRB survey at 1370 MHz using the Apertif instrument installed at th
Externí odkaz:
http://arxiv.org/abs/2406.00482
Autor:
Bilous, Pavlo, Thirion, Louis, Menke, Henri, Haverkort, Maurits W., Pálffy, Adriana, Hansmann, Philipp
A deep-learning approach to optimize the selection of Slater determinants in configuration interaction calculations for condensed-matter quantum many-body systems is developed. We exemplify our algorithm on the discrete version of the single-impurity
Externí odkaz:
http://arxiv.org/abs/2406.00151
Autor:
Kini, Yves, Salmi, Tuomo, Vinciguerra, Serena, Watts, Anna L., Bilous, Anna, Galloway, Duncan K., van der Wateren, Emma, Khalsa, Guru Partap, Bogdanov, Slavko, Buchner, Johannes, Suleimanov, Valery
Pulse profile modelling (PPM) is a comprehensive relativistic ray-tracing technique employed to determine the properties of neutron stars. In this study, we apply this technique to the Type I X-ray burster and accretion-powered millisecond pulsar XTE
Externí odkaz:
http://arxiv.org/abs/2405.10717