Zobrazeno 1 - 10
of 12 375
pro vyhledávání: '"Pedro G"'
Publikováno v:
Tendencias del Mercado del Arte. oct2023, Issue 165, p73-73. 1p.
Autor:
Sui, Ce, Bartlett, Deaglan J., Pandey, Shivam, Desmond, Harry, Ferreira, Pedro G., Wandelt, Benjamin D.
Current and future large scale structure surveys aim to constrain the neutrino mass and the equation of state of dark energy. We aim to construct accurate and interpretable symbolic approximations to the linear and nonlinear matter power spectra as a
Externí odkaz:
http://arxiv.org/abs/2410.14623
Sparse reward environments in reinforcement learning (RL) pose significant challenges for exploration, often leading to inefficient or incomplete learning processes. To tackle this issue, this work proposes a teacher-student RL framework that leverag
Externí odkaz:
http://arxiv.org/abs/2410.08632
Electroencephalography (EEG) data provides a non-invasive method for researchers and clinicians to observe brain activity in real time. The integration of deep learning techniques with EEG data has significantly improved the ability to identify meani
Externí odkaz:
http://arxiv.org/abs/2409.17815
We show that a universe with a nonminimally coupled scalar field can fit current measurements of the expansion rate of the Universe better than the standard $\Lambda$-Cold Dark Matter model or other minimally coupled dark energy models. While we find
Externí odkaz:
http://arxiv.org/abs/2409.17019
Gravitational waves can provide crucial insights about the environments in which black holes live. In this work, we use numerical relativity simulations to study the behaviour of self-interacting scalar (wave-like) dark matter clouds accreting onto i
Externí odkaz:
http://arxiv.org/abs/2409.01937
Akademický článek
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Publikováno v:
Phys. Rev. D 110 (2024) 083528
New constraints on the expansion rate of the Universe seem to favor evolving dark energy in the form of thawing quintessence models, i.e., models for which a canonical, minimally coupled scalar field has, at late times, begun to evolve away from pote
Externí odkaz:
http://arxiv.org/abs/2408.17318
Physics, as a fundamental science, aims to understand the laws of Nature and describe them in mathematical equations. While the physical reality manifests itself in a wide range of phenomena with varying levels of complexity, the equations that descr
Externí odkaz:
http://arxiv.org/abs/2408.11065
We investigate the potential of bio-inspired evolutionary algorithms for designing quantum circuits with specific goals, focusing on two particular tasks. The first one is motivated by the ideas of Artificial Life that are used to reproduce stochasti
Externí odkaz:
http://arxiv.org/abs/2408.00448