Zobrazeno 1 - 10
of 161 171
pro vyhledávání: '"Richard, M A"'
Autor:
Dage, Kristen C., Tremou, Evangelia, Otahola, Bolivia Cuevas, Koch, Eric W., Oh, Kwangmin, Plotkin, Richard M., Tang, Vivian L., Aldhalemi, Muhammad Ridha, Bustani, Zainab, Fawaz, Mariam Ismail, Harff, Hans J., Khalyleh, Amna, McBride, Timothy, Mason, Jesse, Preston, Anthony, Rinehart, Cortney, Vinson, Ethan, Anderson, Gemma, Cackett, Edward M., Fu, Shih Ching, Kamann, Sebastian, Panurach, Teresa, Pechetti, Renuka, Saikia, Payaswini, Sett, Susmita, Urquhart, Ryan, Usher, Christopher
Intermediate mass black holes (10^2 < M_BH< 10^5 Msun) are an open question in our understanding of black hole evolution and growth. They have long been linked to dense star cluster environments thanks to cluster dynamics, but there are a limited num
Externí odkaz:
http://arxiv.org/abs/2412.07284
Energy storage scheduling problems, where a storage is operated to maximize its profit in response to a price signal, are essentially infinite-horizon optimization problems as storage systems operate continuously, without a foreseen end to their oper
Externí odkaz:
http://arxiv.org/abs/2411.17463
We investigate the locality properties of $T \overline T$-deformed CFTs within perturbation theory. Up to third order in the deformation parameter, we find a Hamiltonian operator which solves the flow equation, reproduces the Zamolodchikov energy spe
Externí odkaz:
http://arxiv.org/abs/2411.06261
Publikováno v:
Quantitative Psychology. IMPS 2023, vol 452. Springer, Cham (2024)
If the probability model is correctly specified, then we can estimate the covariance matrix of the asymptotic maximum likelihood estimate distribution using either the first or second derivatives of the likelihood function. Therefore, if the determin
Externí odkaz:
http://arxiv.org/abs/2411.02769
Autor:
Panurach, Teresa, Dage, Kristen C., Urquhart, Ryan, Plotkin, Richard M., Paul, Jeremiah D., Bahramian, Arash, Brumback, McKinley C., Galvin, Timothy J., Molina, Isabella, Miller-Jones, James C. A., Saikia, Payaswini
Ultraluminous X-ray sources (ULXs) were once largely believed to be powered by super-Eddington accretion onto stellar-mass black holes, although in some rare cases, ULXs also serve as potential candidates for (sub-Eddington) intermediate mass black h
Externí odkaz:
http://arxiv.org/abs/2410.23335
Autor:
Vidamour, Ian T, Venkat, Guru, Swindells, Charles, Griffin, David, Fry, Paul W, Rowan-Robinson, Richard M, Welbourne, Alexander, Maccherozzi, Francesco, Dhesi, Sarnjeet S, Stepney, Susan, Allwood, Dan A, Hayward, Thomas J
We describe 'RingSim', a phenomenological agent-based model that allows numerical simulation of magnetic nanowire networks with areas of hundreds of micrometers squared for durations of hundreds of seconds; a practical impossibility for general-purpo
Externí odkaz:
http://arxiv.org/abs/2410.22204
Publikováno v:
Neurocomputing, vol. 611, p. 128662, Jan. 2025
Accumulated detailed knowledge about the neuronal activities in human brains has brought more attention to bio-inspired spiking neural networks (SNNs). In contrast to non-spiking deep neural networks (DNNs), SNNs can encode and transmit spatiotempora
Externí odkaz:
http://arxiv.org/abs/2410.15293
The Discrete Element Method is widely employed for simulating granular flows, but conventional integration techniques may produce unphysical results for simulations with static friction when particle size ratios exceed $R \approx 3$. These inaccuraci
Externí odkaz:
http://arxiv.org/abs/2410.14798
Autor:
Taheri, Mojtaba, Cranney, Jesse, Marasco, Antonino, Monty, Stephanie, Massari, Davide, Agapito, Guido, Cresci, Giovanni, McDermid, Richard M., Rigaut, Francois, Neichel, Benoit, Brodrick, David, Plantet, Cédric
Publikováno v:
Proceedings of the SPIE, Volume 13096, id. 13096AJ 10 pp. (2024)
MAVIS (the MCAO-Assisted Visible Imager and Spectrograph), planned for the VLT Adaptive Optics Facility, represents an innovative step in Multi-Conjugate Adaptive Optics (MCAO) systems, particularly in its operation at visible wavelengths and anticip
Externí odkaz:
http://arxiv.org/abs/2410.12106
Predicting particle segregation has remained challenging due to the lack of a general model for the segregation velocity that is applicable across a range of granular flow geometries. Here, a segregation velocity model for dense granular flows is dev
Externí odkaz:
http://arxiv.org/abs/2410.08350